annotate dataset.py @ 190:aa7a3ecbcc90

progress toward early stopping
author James Bergstra <bergstrj@iro.umontreal.ca>
date Wed, 14 May 2008 16:24:10 -0400
parents f01ac276c6fb
children cb6b945acf5a
rev   line source
11
be128b9127c8 Debugged (to the extent of my tests) the new version of dataset
bengioy@esprit.iro.umontreal.ca
parents: 9
diff changeset
1
12
ff4e551490f1 Added LookupList type in lookup_list.py and used it to keep order
bengioy@esprit.iro.umontreal.ca
parents: 11
diff changeset
2 from lookup_list import LookupList
ff4e551490f1 Added LookupList type in lookup_list.py and used it to keep order
bengioy@esprit.iro.umontreal.ca
parents: 11
diff changeset
3 Example = LookupList
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
4 from misc import unique_elements_list_intersection
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
5 from string import join
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
6 from sys import maxint
171
895b4b60f5e8 bugfix. Otherwise the example was writed over and not a new one was returned
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 167
diff changeset
7 import numpy, copy
11
be128b9127c8 Debugged (to the extent of my tests) the new version of dataset
bengioy@esprit.iro.umontreal.ca
parents: 9
diff changeset
8
166
ee11ed427ba8 Created exceptions.py
Joseph Turian <turian@gmail.com>
parents: 163
diff changeset
9 from exceptions import *
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
10
110
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
11 class AttributesHolder(object):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
12 def __init__(self): pass
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
13
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
14 def attributeNames(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
15 raise AbstractFunction()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
16
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
17 def setAttributes(self,attribute_names,attribute_values,make_copies=False):
134
3f4e5c9bdc5e Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 132
diff changeset
18 """
3f4e5c9bdc5e Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 132
diff changeset
19 Allow the attribute_values to not be a list (but a single value) if the attribute_names is of length 1.
3f4e5c9bdc5e Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 132
diff changeset
20 """
3f4e5c9bdc5e Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 132
diff changeset
21 if len(attribute_names)==1 and not (isinstance(attribute_values,list) or isinstance(attribute_values,tuple) ):
3f4e5c9bdc5e Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 132
diff changeset
22 attribute_values = [attribute_values]
110
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
23 if make_copies:
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
24 for name,value in zip(attribute_names,attribute_values):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
25 self.__setattr__(name,copy.deepcopy(value))
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
26 else:
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
27 for name,value in zip(attribute_names,attribute_values):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
28 self.__setattr__(name,value)
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
29
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
30
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression
bengioy@bengiomac.local
parents: 105
diff changeset
31 class DataSet(AttributesHolder):
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
32 """A virtual base class for datasets.
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
33
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
34 A DataSet can be seen as a generalization of a matrix, meant to be used in conjunction
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
35 with learning algorithms (for training and testing them): rows/records are called examples, and
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
36 columns/attributes are called fields. The field value for a particular example can be an arbitrary
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
37 python object, which depends on the particular dataset.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
38
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
39 We call a DataSet a 'stream' when its length is unbounded (otherwise its __len__ method
48
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
40 should return sys.maxint).
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
41
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
42 A DataSet is a generator of iterators; these iterators can run through the
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
43 examples or the fields in a variety of ways. A DataSet need not necessarily have a finite
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
44 or known length, so this class can be used to interface to a 'stream' which
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
45 feeds on-line learning (however, as noted below, some operations are not
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
46 feasible or not recommanded on streams).
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
47
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
48 To iterate over examples, there are several possibilities:
90
a289b8bed64c corrected comment
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 88
diff changeset
49 - for example in dataset:
a289b8bed64c corrected comment
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 88
diff changeset
50 - for val1,val2,... in dataset:
a289b8bed64c corrected comment
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 88
diff changeset
51 - for example in dataset(field1, field2,field3, ...):
a289b8bed64c corrected comment
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 88
diff changeset
52 - for val1,val2,val3 in dataset(field1, field2,field3):
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
53 - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N):
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
54 - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N):
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
55 Each of these is documented below. All of these iterators are expected
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
56 to provide, in addition to the usual 'next()' method, a 'next_index()' method
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
57 which returns a non-negative integer pointing to the position of the next
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
58 example that will be returned by 'next()' (or of the first example in the
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
59 next minibatch returned). This is important because these iterators
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
60 can wrap around the dataset in order to do multiple passes through it,
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
61 in possibly unregular ways if the minibatch size is not a divisor of the
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
62 dataset length.
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
63
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
64 To iterate over fields, one can do
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
65 - for field in dataset.fields():
46
c5b07e87b0cb comments modif made by Yoshua
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 45
diff changeset
66 for field_value in field: # iterate over the values associated to that field for all the dataset examples
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
67 - for field in dataset(field1,field2,...).fields() to select a subset of fields
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
68 - for field in dataset.fields(field1,field2,...) to select a subset of fields
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
69 and each of these fields is iterable over the examples:
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
70 - for field_examples in dataset.fields():
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
71 for example_value in field_examples:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
72 ...
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
73 but when the dataset is a stream (unbounded length), it is not recommanded to do
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
74 such things because the underlying dataset may refuse to access the different fields in
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
75 an unsynchronized ways. Hence the fields() method is illegal for streams, by default.
132
f6505ec32dc3 Updated documentation slightly
Joseph Turian <turian@gmail.com>
parents: 128
diff changeset
76 The result of fields() is a L{DataSetFields} object, which iterates over fields,
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
77 and whose elements are iterable over examples. A DataSetFields object can
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
78 be turned back into a DataSet with its examples() method::
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
79 dataset2 = dataset1.fields().examples()
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
80 and dataset2 should behave exactly like dataset1 (in fact by default dataset2==dataset1).
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
81
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
82 Note: Fields are not mutually exclusive, i.e. two fields can overlap in their actual content.
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
83
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
84 Note: The content of a field can be of any type. Field values can also be 'missing'
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
85 (e.g. to handle semi-supervised learning), and in the case of numeric (numpy array)
46
c5b07e87b0cb comments modif made by Yoshua
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 45
diff changeset
86 fields (i.e. an ArrayFieldsDataSet), NaN plays the role of a missing value.
c5b07e87b0cb comments modif made by Yoshua
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 45
diff changeset
87 What about non-numeric values? None.
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
88
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
89 Dataset elements can be indexed and sub-datasets (with a subset
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
90 of examples) can be extracted. These operations are not supported
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
91 by default in the case of streams.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
92
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
93 - dataset[:n] returns a dataset with the n first examples.
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
94
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
95 - dataset[i1:i2:s] returns a dataset with the examples i1,i1+s,...i2-s.
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
96
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
97 - dataset[i] returns an Example.
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
98
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
99 - dataset[[i1,i2,...in]] returns a dataset with examples i1,i2,...in.
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
100
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
101 - dataset[fieldname] an iterable over the values of the field fieldname across
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
102 the dataset (the iterable is obtained by default by calling valuesVStack
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
103 over the values for individual examples).
57
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
104
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
105 - dataset.<property> returns the value of a property associated with
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
106 the name <property>. The following properties should be supported:
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
107 - 'description': a textual description or name for the dataset
57
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
108 - 'fieldtypes': a list of types (one per field)
78
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
109 A DataSet may have other attributes that it makes visible to other objects. These are
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
110 used to store information that is not example-wise but global to the dataset.
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
111 The list of names of these attributes is given by the attribute_names() method.
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
112
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
113 Datasets can be concatenated either vertically (increasing the length) or
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
114 horizontally (augmenting the set of fields), if they are compatible, using
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
115 the following operations (with the same basic semantics as numpy.hstack
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
116 and numpy.vstack):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
117
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
118 - dataset1 | dataset2 | dataset3 == dataset.hstack([dataset1,dataset2,dataset3])
22
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
119
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
120 creates a new dataset whose list of fields is the concatenation of the list of
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
121 fields of the argument datasets. This only works if they all have the same length.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
122
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
123 - dataset1 & dataset2 & dataset3 == dataset.vstack([dataset1,dataset2,dataset3])
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
124
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
125 creates a new dataset that concatenates the examples from the argument datasets
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
126 (and whose length is the sum of the length of the argument datasets). This only
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
127 works if they all have the same fields.
22
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
128
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
129 According to the same logic, and viewing a DataSetFields object associated to
46
c5b07e87b0cb comments modif made by Yoshua
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 45
diff changeset
130 a DataSet as a kind of transpose of it, fields1 & fields2 concatenates fields of
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
131 a DataSetFields fields1 and fields2, and fields1 | fields2 concatenates their
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
132 examples.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
133
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
134 A dataset can hold arbitrary key-value pairs that may be used to access meta-data
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
135 or other properties of the dataset or associated with the dataset or the result
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
136 of a computation stored in a dataset. These can be accessed through the [key] syntax
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
137 when key is a string (or more specifically, neither an integer, a slice, nor a list).
78
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
138
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
139 A DataSet sub-class should always redefine the following methods:
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
140 - __len__ if it is not a stream
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
141 - fieldNames
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
142 - minibatches_nowrap (called by DataSet.minibatches())
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
143 - valuesHStack
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
144 - valuesVStack
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
145 For efficiency of implementation, a sub-class might also want to redefine
72
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
146 - hasFields
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
147 - __getitem__ may not be feasible with some streams
2b6656b2ef52 Changed docs slightly
Joseph Turian <turian@iro.umontreal.ca>
parents: 66
diff changeset
148 - __iter__
78
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
149 A sub-class should also append attributes to self._attribute_names
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
150 (the default value returned by attributeNames()).
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
151 By convention, attributes not in attributeNames() should have a name
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
152 starting with an underscore.
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
153 @todo enforce/test that convention!
2
3fddb1c8f955 Rewrote DataSet interface and created FiniteDataSet interface.
bengioy@bengiomac.local
parents: 1
diff changeset
154 """
1
2cd82666b9a7 Added statscollector and started writing dataset and learner.
bengioy@esprit.iro.umontreal.ca
parents: 0
diff changeset
155
83
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
156 numpy_vstack = lambda fieldname,values: numpy.vstack(values)
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
157 numpy_hstack = lambda fieldnames,values: numpy.hstack(values)
77
1e2bb5bad636 toying with different ways to implement learners
bengioy@bengiomac.local
parents: 74
diff changeset
158
57
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
159 def __init__(self,description=None,fieldtypes=None):
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
160 if description is None:
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
161 # by default return "<DataSetType>(<SuperClass1>,<SuperClass2>,...)"
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
162 description = type(self).__name__ + " ( " + join([x.__name__ for x in type(self).__bases__]) + " )"
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
163 self.description=description
60
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 57
diff changeset
164 self.fieldtypes=fieldtypes
78
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
165 self._attribute_names = ["description"]
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
166 if fieldtypes:
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
167 self._attribute_names.append("fieldtypes")
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
168
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
169 def attributeNames(self): return self._attribute_names
3499918faa9d In the middle of designing TLearner
bengioy@bengiomac.local
parents: 77
diff changeset
170
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
171 class MinibatchToSingleExampleIterator(object):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
172 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
173 Converts the result of minibatch iterator with minibatch_size==1 into
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
174 single-example values in the result. Therefore the result of
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
175 iterating on the dataset itself gives a sequence of single examples
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
176 (whereas the result of iterating over minibatches gives in each
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
177 Example field an iterable object over the individual examples in
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
178 the minibatch).
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
179 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
180 def __init__(self, minibatch_iterator):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
181 self.minibatch_iterator = minibatch_iterator
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
182 self.minibatch = None
22
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
183 def __iter__(self): #makes for loop work
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
184 return self
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
185 def next(self):
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
186 size1_minibatch = self.minibatch_iterator.next()
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
187 if not self.minibatch:
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
188 self.minibatch = Example(size1_minibatch.keys(),[value[0] for value in size1_minibatch.values()])
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
189 else:
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
190 self.minibatch._values = [value[0] for value in size1_minibatch.values()]
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
191 return self.minibatch
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
192
23
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
193 def next_index(self):
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
194 return self.minibatch_iterator.next_index()
22
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
195
3
378b68d5c4ad Added first (untested) version of ArrayDataSet
bengioy@bengiomac.local
parents: 2
diff changeset
196 def __iter__(self):
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
197 """Supports the syntax "for i in dataset: ..."
1
2cd82666b9a7 Added statscollector and started writing dataset and learner.
bengioy@esprit.iro.umontreal.ca
parents: 0
diff changeset
198
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
199 Using this syntax, "i" will be an Example instance (or equivalent) with
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
200 all the fields of DataSet self. Every field of "i" will give access to
20
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
201 a field of a single example. Fields should be accessible via
22
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
202 i["fielname"] or i[3] (in the order defined by the elements of the
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
203 Example returned by this iterator), but the derived class is free
20
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
204 to accept any type of identifier, and add extra functionality to the iterator.
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
205
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
206 The default implementation calls the minibatches iterator and extracts the first example of each field.
11
be128b9127c8 Debugged (to the extent of my tests) the new version of dataset
bengioy@esprit.iro.umontreal.ca
parents: 9
diff changeset
207 """
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
208 return DataSet.MinibatchToSingleExampleIterator(self.minibatches(None, minibatch_size = 1))
2
3fddb1c8f955 Rewrote DataSet interface and created FiniteDataSet interface.
bengioy@bengiomac.local
parents: 1
diff changeset
209
188
f01ac276c6fb added __contains__ to Dataset, added parent constructor call to ArrayDataSet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 171
diff changeset
210 def __contains__(self, fieldname):
f01ac276c6fb added __contains__ to Dataset, added parent constructor call to ArrayDataSet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 171
diff changeset
211 return (fieldname in self.fieldNames()) \
f01ac276c6fb added __contains__ to Dataset, added parent constructor call to ArrayDataSet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 171
diff changeset
212 or (fieldname in self.attributeNames())
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
213
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
214 class MinibatchWrapAroundIterator(object):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
215 """
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
216 An iterator for minibatches that handles the case where we need to wrap around the
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
217 dataset because n_batches*minibatch_size > len(dataset). It is constructed from
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
218 a dataset that provides a minibatch iterator that does not need to handle that problem.
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
219 This class is a utility for dataset subclass writers, so that they do not have to handle
38
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
220 this issue multiple times, nor check that fieldnames are valid, nor handle the
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
221 empty fieldnames (meaning 'use all the fields').
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
222 """
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
223 def __init__(self,dataset,fieldnames,minibatch_size,n_batches,offset):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
224 self.dataset=dataset
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
225 self.fieldnames=fieldnames
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
226 self.minibatch_size=minibatch_size
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
227 self.n_batches=n_batches
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
228 self.n_batches_done=0
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
229 self.next_row=offset
98
7186e4f502d1 bugfix in DataSet.minibatch to correctly wrap in all corner case.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 95
diff changeset
230 self.offset=offset
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
231 self.L=len(dataset)
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
232 assert offset+minibatch_size<=self.L
98
7186e4f502d1 bugfix in DataSet.minibatch to correctly wrap in all corner case.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 95
diff changeset
233 ds_nbatches = (self.L-self.next_row)/self.minibatch_size
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
234 if n_batches is not None:
98
7186e4f502d1 bugfix in DataSet.minibatch to correctly wrap in all corner case.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 95
diff changeset
235 ds_nbatches = min(n_batches,ds_nbatches)
38
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
236 if fieldnames:
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
237 assert dataset.hasFields(*fieldnames)
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
238 else:
98
7186e4f502d1 bugfix in DataSet.minibatch to correctly wrap in all corner case.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 95
diff changeset
239 self.fieldnames=dataset.fieldNames()
7186e4f502d1 bugfix in DataSet.minibatch to correctly wrap in all corner case.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 95
diff changeset
240 self.iterator = self.dataset.minibatches_nowrap(self.fieldnames,self.minibatch_size,
7186e4f502d1 bugfix in DataSet.minibatch to correctly wrap in all corner case.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 95
diff changeset
241 ds_nbatches,self.next_row)
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
242
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
243 def __iter__(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
244 return self
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
245
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
246 def next_index(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
247 return self.next_row
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
248
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
249 def next(self):
43
e92244f30116 Corrected iterator logic errors
bengioy@grenat.iro.umontreal.ca
parents: 42
diff changeset
250 if self.n_batches and self.n_batches_done==self.n_batches:
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
251 raise StopIteration
101
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
252 elif not self.n_batches and self.next_row ==self.L:
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
253 raise StopIteration
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
254 upper = self.next_row+self.minibatch_size
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
255 if upper <=self.L:
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
256 minibatch = self.iterator.next()
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
257 else:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
258 if not self.n_batches:
101
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
259 upper=min(upper, self.L)
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
260 # if their is not a fixed number of batch, we continue to the end of the dataset.
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
261 # this can create a minibatch that is smaller then the minibatch_size
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
262 assert (self.L-self.next_row)<=self.minibatch_size
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
263 minibatch = self.dataset.minibatches_nowrap(self.fieldnames,self.L-self.next_row,1,self.next_row).next()
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
264 else:
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
265 # we must concatenate (vstack) the bottom and top parts of our minibatch
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
266 # first get the beginning of our minibatch (top of dataset)
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
267 first_part = self.dataset.minibatches_nowrap(self.fieldnames,self.L-self.next_row,1,self.next_row).next()
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
268 second_part = self.dataset.minibatches_nowrap(self.fieldnames,upper-self.L,1,0).next()
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
269 minibatch = Example(self.fieldnames,
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
270 [self.dataset.valuesVStack(name,[first_part[name],second_part[name]])
a1740a99b81f by default, in a minibatch without any fixed number of batchs, we need to finish at the end of the dataset. Now we return a minibatch at the end event if this minibacht size != the gived minibatch_size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 99
diff changeset
271 for name in self.fieldnames])
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
272 self.next_row=upper
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
273 self.n_batches_done+=1
43
e92244f30116 Corrected iterator logic errors
bengioy@grenat.iro.umontreal.ca
parents: 42
diff changeset
274 if upper >= self.L and self.n_batches:
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
275 self.next_row -= self.L
98
7186e4f502d1 bugfix in DataSet.minibatch to correctly wrap in all corner case.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 95
diff changeset
276 ds_nbatches = (self.L-self.next_row)/self.minibatch_size
7186e4f502d1 bugfix in DataSet.minibatch to correctly wrap in all corner case.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 95
diff changeset
277 if self.n_batches is not None:
7186e4f502d1 bugfix in DataSet.minibatch to correctly wrap in all corner case.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 95
diff changeset
278 ds_nbatches = min(self.n_batches,ds_nbatches)
7186e4f502d1 bugfix in DataSet.minibatch to correctly wrap in all corner case.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 95
diff changeset
279 self.iterator = self.dataset.minibatches_nowrap(self.fieldnames,self.minibatch_size,
7186e4f502d1 bugfix in DataSet.minibatch to correctly wrap in all corner case.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 95
diff changeset
280 ds_nbatches,self.next_row)
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
281 return DataSetFields(MinibatchDataSet(minibatch,self.dataset.valuesVStack,
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
282 self.dataset.valuesHStack),
74
b4159cbdc06b Fixed errors raised by test_dataset
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 73
diff changeset
283 minibatch.keys())
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
284
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
285
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
286 minibatches_fieldnames = None
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
287 minibatches_minibatch_size = 1
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
288 minibatches_n_batches = None
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
289 def minibatches(self,
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
290 fieldnames = minibatches_fieldnames,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
291 minibatch_size = minibatches_minibatch_size,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
292 n_batches = minibatches_n_batches,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
293 offset = 0):
6
d5738b79089a Removed MinibatchIterator and instead made minibatch_size a field of all DataSets,
bengioy@bengiomac.local
parents: 5
diff changeset
294 """
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
295 Return an iterator that supports three forms of syntax:
22
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
296
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
297 for i in dataset.minibatches(None,**kwargs): ...
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
298
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
299 for i in dataset.minibatches([f1, f2, f3],**kwargs): ...
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
300
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
301 for i1, i2, i3 in dataset.minibatches([f1, f2, f3],**kwargs): ...
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
302
22
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
303 Using the first two syntaxes, "i" will be an indexable object, such as a list,
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
304 tuple, or Example instance. In both cases, i[k] is a list-like container
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
305 of a batch of current examples. In the second case, i[0] is
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
306 list-like container of the f1 field of a batch current examples, i[1] is
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
307 a list-like container of the f2 field, etc.
2
3fddb1c8f955 Rewrote DataSet interface and created FiniteDataSet interface.
bengioy@bengiomac.local
parents: 1
diff changeset
308
22
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
309 Using the first syntax, all the fields will be returned in "i".
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
310 Using the third syntax, i1, i2, i3 will be list-like containers of the
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
311 f1, f2, and f3 fields of a batch of examples on each loop iteration.
11
be128b9127c8 Debugged (to the extent of my tests) the new version of dataset
bengioy@esprit.iro.umontreal.ca
parents: 9
diff changeset
312
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
313 The minibatches iterator is expected to return upon each call to next()
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
314 a DataSetFields object, which is a LookupList (indexed by the field names) whose
80
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
315 elements are iterable and indexable over the minibatch examples, and which keeps a pointer to
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
316 a sub-dataset that can be used to iterate over the individual examples
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
317 in the minibatch. Hence a minibatch can be converted back to a regular
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
318 dataset or its fields can be looked at individually (and possibly iterated over).
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
319
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
320 PARAMETERS
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
321 - fieldnames (list of any type, default None):
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
322 The loop variables i1, i2, i3 (in the example above) should contain the
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
323 f1, f2, and f3 fields of the current batch of examples. If None, the
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
324 derived class can choose a default, e.g. all fields.
16
813723310d75 commenting
bergstrj@iro.umontreal.ca
parents: 15 11
diff changeset
325
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
326 - minibatch_size (integer, default 1)
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
327 On every iteration, the variables i1, i2, i3 will have
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
328 exactly minibatch_size elements. e.g. len(i1) == minibatch_size
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
329
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
330 - n_batches (integer, default None)
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
331 The iterator will loop exactly this many times, and then stop. If None,
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
332 the derived class can choose a default. If (-1), then the returned
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
333 iterator should support looping indefinitely.
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
334
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
335 - offset (integer, default 0)
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
336 The iterator will start at example 'offset' in the dataset, rather than the default.
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
337
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
338 Note: A list-like container is something like a tuple, list, numpy.ndarray or
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
339 any other object that supports integer indexing and slicing.
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
340
11
be128b9127c8 Debugged (to the extent of my tests) the new version of dataset
bengioy@esprit.iro.umontreal.ca
parents: 9
diff changeset
341 """
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
342 return DataSet.MinibatchWrapAroundIterator(self,fieldnames,minibatch_size,n_batches,offset)
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
343
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
344 def minibatches_nowrap(self,fieldnames,minibatch_size,n_batches,offset):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
345 """
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
346 This is the minibatches iterator generator that sub-classes must define.
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
347 It does not need to worry about wrapping around multiple times across the dataset,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
348 as this is handled by MinibatchWrapAroundIterator when DataSet.minibatches() is called.
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
349 The next() method of the returned iterator does not even need to worry about
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
350 the termination condition (as StopIteration will be raised by DataSet.minibatches
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
351 before an improper call to minibatches_nowrap's next() is made).
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
352 That next() method can assert that its next row will always be within [0,len(dataset)).
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
353 The iterator returned by minibatches_nowrap does not need to implement
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
354 a next_index() method either, as this will be provided by MinibatchWrapAroundIterator.
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
355 """
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
356 raise AbstractFunction()
22
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
357
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
358 def __len__(self):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
359 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
360 len(dataset) returns the number of examples in the dataset.
48
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
361 By default, a DataSet is a 'stream', i.e. it has an unbounded length (sys.maxint).
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
362 Sub-classes which implement finite-length datasets should redefine this method.
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
363 Some methods only make sense for finite-length datasets.
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
364 """
123
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 110
diff changeset
365 return maxint
48
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
366
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
367 def is_unbounded(self):
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
368 """
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
369 Tests whether a dataset is unbounded (e.g. a stream).
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
370 """
123
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 110
diff changeset
371 return len(self)==maxint
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
372
26
672fe4b23032 Fixed dataset errors so that _test_dataset.py works again.
bengioy@grenat.iro.umontreal.ca
parents: 23
diff changeset
373 def hasFields(self,*fieldnames):
20
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
374 """
22
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
375 Return true if the given field name (or field names, if multiple arguments are
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
376 given) is recognized by the DataSet (i.e. can be used as a field name in one
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
377 of the iterators).
29
46c5c90019c2 Changed apply_function so that it propagates methods of the source.
bengioy@grenat.iro.umontreal.ca
parents: 28
diff changeset
378
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
379 The default implementation may be inefficient (O(# fields in dataset)), as it calls the fieldNames()
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
380 method. Many datasets may store their field names in a dictionary, which would allow more efficiency.
11
be128b9127c8 Debugged (to the extent of my tests) the new version of dataset
bengioy@esprit.iro.umontreal.ca
parents: 9
diff changeset
381 """
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
382 return len(unique_elements_list_intersection(fieldnames,self.fieldNames()))>0
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
383
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
384 def fieldNames(self):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
385 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
386 Return the list of field names that are supported by the iterators,
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
387 and for which hasFields(fieldname) would return True.
11
be128b9127c8 Debugged (to the extent of my tests) the new version of dataset
bengioy@esprit.iro.umontreal.ca
parents: 9
diff changeset
388 """
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
389 raise AbstractFunction()
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
390
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
391 def __call__(self,*fieldnames):
23
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
392 """
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
393 Return a dataset that sees only the fields whose name are specified.
20
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
394 """
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
395 assert self.hasFields(*fieldnames)
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
396 return self.fields(*fieldnames).examples()
20
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
397
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
398 def fields(self,*fieldnames):
29
46c5c90019c2 Changed apply_function so that it propagates methods of the source.
bengioy@grenat.iro.umontreal.ca
parents: 28
diff changeset
399 """
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
400 Return a DataSetFields object associated with this dataset.
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
401 """
74
b4159cbdc06b Fixed errors raised by test_dataset
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 73
diff changeset
402 return DataSetFields(self,fieldnames)
11
be128b9127c8 Debugged (to the extent of my tests) the new version of dataset
bengioy@esprit.iro.umontreal.ca
parents: 9
diff changeset
403
2
3fddb1c8f955 Rewrote DataSet interface and created FiniteDataSet interface.
bengioy@bengiomac.local
parents: 1
diff changeset
404 def __getitem__(self,i):
28
541a273bc89f Removed __array__ method from dataset, whose
bengioy@grenat.iro.umontreal.ca
parents: 26
diff changeset
405 """
541a273bc89f Removed __array__ method from dataset, whose
bengioy@grenat.iro.umontreal.ca
parents: 26
diff changeset
406 dataset[i] returns the (i+1)-th example of the dataset.
541a273bc89f Removed __array__ method from dataset, whose
bengioy@grenat.iro.umontreal.ca
parents: 26
diff changeset
407 dataset[i:j] returns the subdataset with examples i,i+1,...,j-1.
541a273bc89f Removed __array__ method from dataset, whose
bengioy@grenat.iro.umontreal.ca
parents: 26
diff changeset
408 dataset[i:j:s] returns the subdataset with examples i,i+2,i+4...,j-2.
541a273bc89f Removed __array__ method from dataset, whose
bengioy@grenat.iro.umontreal.ca
parents: 26
diff changeset
409 dataset[[i1,i2,..,in]] returns the subdataset with examples i1,i2,...,in.
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
410 dataset['key'] returns a property associated with the given 'key' string.
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
411 If 'key' is a fieldname, then the VStacked field values (iterable over
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
412 field values) for that field is returned. Other keys may be supported
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
413 by different dataset subclasses. The following key names are encouraged:
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
414 - 'description': a textual description or name for the dataset
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
415 - '<fieldname>.type': a type name or value for a given <fieldname>
1
2cd82666b9a7 Added statscollector and started writing dataset and learner.
bengioy@esprit.iro.umontreal.ca
parents: 0
diff changeset
416
39
c682c6e9bf93 Minor edits
bengioy@esprit.iro.umontreal.ca
parents: 38
diff changeset
417 Note that some stream datasets may be unable to implement random access, i.e.
c682c6e9bf93 Minor edits
bengioy@esprit.iro.umontreal.ca
parents: 38
diff changeset
418 arbitrary slicing/indexing
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
419 because they can only iterate through examples one or a minibatch at a time
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
420 and do not actually store or keep past (or future) examples.
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
421
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
422 The default implementation of getitem uses the minibatches iterator
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
423 to obtain one example, one slice, or a list of examples. It may not
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
424 always be the most efficient way to obtain the result, especially if
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
425 the data are actually stored in a memory array.
28
541a273bc89f Removed __array__ method from dataset, whose
bengioy@grenat.iro.umontreal.ca
parents: 26
diff changeset
426 """
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
427 # check for an index
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
428 if type(i) is int:
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
429 return DataSet.MinibatchToSingleExampleIterator(
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
430 self.minibatches(minibatch_size=1,n_batches=1,offset=i)).next()
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
431 rows=None
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
432 # or a slice
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
433 if type(i) is slice:
135
0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 134
diff changeset
434 if not i.start: i=slice(0,i.stop,i.step)
0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 134
diff changeset
435 if not i.step: i=slice(i.start,i.stop,1)
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
436 if i.step is 1:
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
437 return self.minibatches(minibatch_size=i.stop-i.start,n_batches=1,offset=i.start).next().examples()
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
438 rows = range(i.start,i.stop,i.step)
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
439 # or a list of indices
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
440 elif type(i) is list:
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
441 rows = i
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
442 if rows is not None:
48
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
443 examples = [self[row] for row in rows]
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
444 fields_values = zip(*examples)
45
a5c70dc42972 Test functions for dataset.py
bengioy@grenat.iro.umontreal.ca
parents: 44
diff changeset
445 return MinibatchDataSet(
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
446 Example(self.fieldNames(),[ self.valuesVStack(fieldname,field_values)
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
447 for fieldname,field_values
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
448 in zip(self.fieldNames(),fields_values)]),
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
449 self.valuesVStack,self.valuesHStack)
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
450 # else check for a fieldname
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
451 if self.hasFields(i):
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
452 return self.minibatches(fieldnames=[i],minibatch_size=len(self),n_batches=1,offset=0).next()[0]
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
453 # else we are trying to access a property of the dataset
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
454 assert i in self.__dict__ # else it means we are trying to access a non-existing property
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
455 return self.__dict__[i]
22
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet,
bengioy@esprit.iro.umontreal.ca
parents: 20
diff changeset
456
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
457 def valuesHStack(self,fieldnames,fieldvalues):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
458 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
459 Return a value that corresponds to concatenating (horizontally) several field values.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
460 This can be useful to merge some fields. The implementation of this operation is likely
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
461 to involve a copy of the original values. When the values are numpy arrays, the
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
462 result should be numpy.hstack(values). If it makes sense, this operation should
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
463 work as well when each value corresponds to multiple examples in a minibatch
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
464 e.g. if each value is a Ni-vector and a minibatch of length L is a LxNi matrix,
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
465 then the result should be a Lx(N1+N2+..) matrix equal to numpy.hstack(values).
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
466 The default is to use numpy.hstack for numpy.ndarray values, and a list
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
467 pointing to the original values for other data types.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
468 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
469 all_numpy=True
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
470 for value in fieldvalues:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
471 if not type(value) is numpy.ndarray:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
472 all_numpy=False
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
473 if all_numpy:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
474 return numpy.hstack(fieldvalues)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
475 # the default implementation of horizontal stacking is to put values in a list
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
476 return fieldvalues
26
672fe4b23032 Fixed dataset errors so that _test_dataset.py works again.
bengioy@grenat.iro.umontreal.ca
parents: 23
diff changeset
477
672fe4b23032 Fixed dataset errors so that _test_dataset.py works again.
bengioy@grenat.iro.umontreal.ca
parents: 23
diff changeset
478
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
479 def valuesVStack(self,fieldname,values):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
480 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
481 Return a value that corresponds to concatenating (vertically) several values of the
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
482 same field. This can be important to build a minibatch out of individual examples. This
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
483 is likely to involve a copy of the original values. When the values are numpy arrays, the
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
484 result should be numpy.vstack(values).
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
485 The default is to use numpy.vstack for numpy.ndarray values, and a list
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
486 pointing to the original values for other data types.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
487 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
488 all_numpy=True
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
489 for value in values:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
490 if not type(value) is numpy.ndarray:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
491 all_numpy=False
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
492 if all_numpy:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
493 return numpy.vstack(values)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
494 # the default implementation of vertical stacking is to put values in a list
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
495 return values
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
496
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
497 def __or__(self,other):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
498 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
499 dataset1 | dataset2 returns a dataset whose list of fields is the concatenation of the list of
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
500 fields of the argument datasets. This only works if they all have the same length.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
501 """
135
0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 134
diff changeset
502 return HStackedDataSet([self,other])
3
378b68d5c4ad Added first (untested) version of ArrayDataSet
bengioy@bengiomac.local
parents: 2
diff changeset
503
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
504 def __and__(self,other):
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
505 """
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
506 dataset1 & dataset2 is a dataset that concatenates the examples from the argument datasets
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
507 (and whose length is the sum of the length of the argument datasets). This only
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
508 works if they all have the same fields.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
509 """
135
0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 134
diff changeset
510 return VStackedDataSet([self,other])
23
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
511
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
512 def hstack(datasets):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
513 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
514 hstack(dataset1,dataset2,...) returns dataset1 | datataset2 | ...
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
515 which is a dataset whose fields list is the concatenation of the fields
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
516 of the individual datasets.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
517 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
518 assert len(datasets)>0
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
519 if len(datasets)==1:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
520 return datasets[0]
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
521 return HStackedDataSet(datasets)
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
522
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
523 def vstack(datasets):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
524 """
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
525 vstack(dataset1,dataset2,...) returns dataset1 & datataset2 & ...
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
526 which is a dataset which iterates first over the examples of dataset1, then
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
527 over those of dataset2, etc.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
528 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
529 assert len(datasets)>0
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
530 if len(datasets)==1:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
531 return datasets[0]
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
532 return VStackedDataSet(datasets)
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
533
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
534 class FieldsSubsetDataSet(DataSet):
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
535 """
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
536 A sub-class of L{DataSet} that selects a subset of the fields.
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
537 """
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
538 def __init__(self,src,fieldnames):
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
539 self.src=src
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
540 self.fieldnames=fieldnames
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
541 assert src.hasFields(*fieldnames)
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
542 self.valuesHStack = src.valuesHStack
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
543 self.valuesVStack = src.valuesVStack
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
544
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
545 def __len__(self): return len(self.src)
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
546
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
547 def fieldNames(self):
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
548 return self.fieldnames
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
549
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
550 def __iter__(self):
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
551 class FieldsSubsetIterator(object):
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
552 def __init__(self,ds):
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
553 self.ds=ds
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
554 self.src_iter=ds.src.__iter__()
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
555 self.example=None
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
556 def __iter__(self): return self
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
557 def next(self):
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
558 complete_example = self.src_iter.next()
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
559 if self.example:
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
560 self.example._values=[complete_example[field]
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
561 for field in self.ds.fieldnames]
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
562 else:
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
563 self.example=Example(self.ds.fieldnames,
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
564 [complete_example[field] for field in self.ds.fieldnames])
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
565 return self.example
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
566 return FieldsSubsetIterator(self)
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
567
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
568 def minibatches_nowrap(self,fieldnames,minibatch_size,n_batches,offset):
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
569 assert self.hasFields(*fieldnames)
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
570 return self.src.minibatches_nowrap(fieldnames,minibatch_size,n_batches,offset)
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
571 def __getitem__(self,i):
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
572 return FieldsSubsetDataSet(self.src[i],self.fieldnames)
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
573
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
574
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
575 class DataSetFields(LookupList):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
576 """
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
577 Although a L{DataSet} iterates over examples (like rows of a matrix), an associated
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
578 DataSetFields iterates over fields (like columns of a matrix), and can be understood
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
579 as a transpose of the associated dataset.
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
580
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
581 To iterate over fields, one can do
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
582 * for fields in dataset.fields()
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
583 * for fields in dataset(field1,field2,...).fields() to select a subset of fields
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
584 * for fields in dataset.fields(field1,field2,...) to select a subset of fields
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
585 and each of these fields is iterable over the examples:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
586 * for field_examples in dataset.fields():
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
587 for example_value in field_examples:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
588 ...
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
589 but when the dataset is a stream (unbounded length), it is not recommanded to do
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
590 such things because the underlying dataset may refuse to access the different fields in
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
591 an unsynchronized ways. Hence the fields() method is illegal for streams, by default.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
592 The result of fields() is a DataSetFields object, which iterates over fields,
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
593 and whose elements are iterable over examples. A DataSetFields object can
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
594 be turned back into a DataSet with its examples() method:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
595 dataset2 = dataset1.fields().examples()
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
596 and dataset2 should behave exactly like dataset1 (in fact by default dataset2==dataset1).
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
597
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
598 DataSetFields can be concatenated vertically or horizontally. To be consistent with
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
599 the syntax used for DataSets, the | concatenates the fields and the & concatenates
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
600 the examples.
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
601 """
74
b4159cbdc06b Fixed errors raised by test_dataset
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 73
diff changeset
602 def __init__(self,dataset,fieldnames):
65
d48eba49a2f4 fixed the infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 64
diff changeset
603 original_dataset=dataset
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
604 if not fieldnames:
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
605 fieldnames=dataset.fieldNames()
65
d48eba49a2f4 fixed the infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 64
diff changeset
606 elif not fieldnames==dataset.fieldNames():
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
607 dataset = FieldsSubsetDataSet(dataset,fieldnames)
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
608 assert dataset.hasFields(*fieldnames)
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
609 self.dataset=dataset
66
dde1fb1b63ba fixed test and removed print
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 65
diff changeset
610
64
863da25a60f1 trying to fix infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 62
diff changeset
611 if isinstance(dataset,MinibatchDataSet):
863da25a60f1 trying to fix infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 62
diff changeset
612 LookupList.__init__(self,fieldnames,list(dataset._fields))
65
d48eba49a2f4 fixed the infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 64
diff changeset
613 elif isinstance(original_dataset,MinibatchDataSet):
d48eba49a2f4 fixed the infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 64
diff changeset
614 LookupList.__init__(self,fieldnames,
d48eba49a2f4 fixed the infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 64
diff changeset
615 [original_dataset._fields[field]
d48eba49a2f4 fixed the infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 64
diff changeset
616 for field in fieldnames])
64
863da25a60f1 trying to fix infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 62
diff changeset
617 else:
863da25a60f1 trying to fix infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 62
diff changeset
618 minibatch_iterator = dataset.minibatches(fieldnames,
863da25a60f1 trying to fix infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 62
diff changeset
619 minibatch_size=len(dataset),
863da25a60f1 trying to fix infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 62
diff changeset
620 n_batches=1)
863da25a60f1 trying to fix infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 62
diff changeset
621 minibatch=minibatch_iterator.next()
863da25a60f1 trying to fix infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 62
diff changeset
622 LookupList.__init__(self,fieldnames,minibatch)
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
623
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
624 def examples(self):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
625 return self.dataset
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
626
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
627 def __or__(self,other):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
628 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
629 fields1 | fields2 is a DataSetFields that whose list of examples is the concatenation
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
630 of the list of examples of DataSetFields fields1 and fields2.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
631 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
632 return (self.examples() + other.examples()).fields()
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
633
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
634 def __and__(self,other):
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
635 """
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
636 fields1 + fields2 is a DataSetFields that whose list of fields is the concatenation
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
637 of the fields of DataSetFields fields1 and fields2.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
638 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
639 return (self.examples() | other.examples()).fields()
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
640
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
641
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
642 class MinibatchDataSet(DataSet):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
643 """
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
644 Turn a L{LookupList} of same-length (iterable) fields into an example-iterable dataset.
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
645 Each element of the lookup-list should be an iterable and sliceable, all of the same length.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
646 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
647 def __init__(self,fields_lookuplist,values_vstack=DataSet().valuesVStack,
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
648 values_hstack=DataSet().valuesHStack):
17
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests
bergstrj@iro.umontreal.ca
parents: 16 12
diff changeset
649 """
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
650 The user can (and generally should) also provide values_vstack(fieldname,fieldvalues)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
651 and a values_hstack(fieldnames,fieldvalues) functions behaving with the same
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
652 semantics as the DataSet methods of the same name (but without the self argument).
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
653 """
61
a8b70a9117ad bugfix: in MinibatchDataSet renamed the class variable fields to _fields as parent class have a function called field.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 60
diff changeset
654 self._fields=fields_lookuplist
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
655 assert len(fields_lookuplist)>0
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
656 self.length=len(fields_lookuplist[0])
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
657 for field in fields_lookuplist[1:]:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
658 assert self.length==len(field)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
659 self.values_vstack=values_vstack
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
660 self.values_hstack=values_hstack
3
378b68d5c4ad Added first (untested) version of ArrayDataSet
bengioy@bengiomac.local
parents: 2
diff changeset
661
378b68d5c4ad Added first (untested) version of ArrayDataSet
bengioy@bengiomac.local
parents: 2
diff changeset
662 def __len__(self):
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
663 return self.length
28
541a273bc89f Removed __array__ method from dataset, whose
bengioy@grenat.iro.umontreal.ca
parents: 26
diff changeset
664
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
665 def __getitem__(self,i):
80
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
666 if type(i) in (slice,list):
48
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
667 return DataSetFields(MinibatchDataSet(
80
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
668 Example(self._fields.keys(),[field[i] for field in self._fields])),self.fieldNames())
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
669 if type(i) is int:
85
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 83
diff changeset
670 return Example(self._fields.keys(),[field[i] for field in self._fields])
48
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
671 if self.hasFields(i):
61
a8b70a9117ad bugfix: in MinibatchDataSet renamed the class variable fields to _fields as parent class have a function called field.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 60
diff changeset
672 return self._fields[i]
55
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
673 assert i in self.__dict__ # else it means we are trying to access a non-existing property
48
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
674 return self.__dict__[i]
11
be128b9127c8 Debugged (to the extent of my tests) the new version of dataset
bengioy@esprit.iro.umontreal.ca
parents: 9
diff changeset
675
29
46c5c90019c2 Changed apply_function so that it propagates methods of the source.
bengioy@grenat.iro.umontreal.ca
parents: 28
diff changeset
676 def fieldNames(self):
61
a8b70a9117ad bugfix: in MinibatchDataSet renamed the class variable fields to _fields as parent class have a function called field.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 60
diff changeset
677 return self._fields.keys()
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
678
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
679 def hasFields(self,*fieldnames):
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
680 for fieldname in fieldnames:
61
a8b70a9117ad bugfix: in MinibatchDataSet renamed the class variable fields to _fields as parent class have a function called field.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 60
diff changeset
681 if fieldname not in self._fields.keys():
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
682 return False
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
683 return True
20
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
684
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
685 def minibatches_nowrap(self,fieldnames,minibatch_size,n_batches,offset):
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
686 class Iterator(object):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
687 def __init__(self,ds):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
688 self.ds=ds
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
689 self.next_example=offset
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
690 assert minibatch_size > 0
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
691 if offset+minibatch_size > ds.length:
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
692 raise NotImplementedError()
20
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
693 def __iter__(self):
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
694 return self
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
695 def next(self):
61
a8b70a9117ad bugfix: in MinibatchDataSet renamed the class variable fields to _fields as parent class have a function called field.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 60
diff changeset
696 upper = self.next_example+minibatch_size
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
697 assert upper<=self.ds.length
61
a8b70a9117ad bugfix: in MinibatchDataSet renamed the class variable fields to _fields as parent class have a function called field.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 60
diff changeset
698 minibatch = Example(self.ds._fields.keys(),
a8b70a9117ad bugfix: in MinibatchDataSet renamed the class variable fields to _fields as parent class have a function called field.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 60
diff changeset
699 [field[self.next_example:upper]
a8b70a9117ad bugfix: in MinibatchDataSet renamed the class variable fields to _fields as parent class have a function called field.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 60
diff changeset
700 for field in self.ds._fields])
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
701 self.next_example+=minibatch_size
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
702 return minibatch
20
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
703
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
704 return Iterator(self)
20
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
705
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
706 def valuesVStack(self,fieldname,fieldvalues):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
707 return self.values_vstack(fieldname,fieldvalues)
20
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works.
bengioy@bengiomac.local
parents: 19
diff changeset
708
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
709 def valuesHStack(self,fieldnames,fieldvalues):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
710 return self.values_hstack(fieldnames,fieldvalues)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
711
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
712 class HStackedDataSet(DataSet):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
713 """
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
714 A L{DataSet} that wraps several datasets and shows a view that includes all their fields,
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
715 i.e. whose list of fields is the concatenation of their lists of fields.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
716
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
717 If a field name is found in more than one of the datasets, then either an error is
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
718 raised or the fields are renamed (either by prefixing the __name__ attribute
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
719 of the dataset + ".", if it exists, or by suffixing the dataset index in the argument list).
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
720
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
721 @todo: automatically detect a chain of stacked datasets due to A | B | C | D ...
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
722 """
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
723 def __init__(self,datasets,accept_nonunique_names=False,description=None,field_types=None):
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
724 DataSet.__init__(self,description,field_types)
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
725 self.datasets=datasets
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
726 self.accept_nonunique_names=accept_nonunique_names
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
727 self.fieldname2dataset={}
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
728
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
729 def rename_field(fieldname,dataset,i):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
730 if hasattr(dataset,"__name__"):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
731 return dataset.__name__ + "." + fieldname
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
732 return fieldname+"."+str(i)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
733
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
734 # make sure all datasets have the same length and unique field names
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
735 self.length=None
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
736 names_to_change=[]
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
737 for i in xrange(len(datasets)):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
738 dataset = datasets[i]
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
739 length=len(dataset)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
740 if self.length:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
741 assert self.length==length
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
742 else:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
743 self.length=length
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
744 for fieldname in dataset.fieldNames():
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
745 if fieldname in self.fieldname2dataset: # name conflict!
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
746 if accept_nonunique_names:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
747 fieldname=rename_field(fieldname,dataset,i)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
748 names2change.append((fieldname,i))
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
749 else:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
750 raise ValueError("Incompatible datasets: non-unique field name = "+fieldname)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
751 self.fieldname2dataset[fieldname]=i
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
752 for fieldname,i in names_to_change:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
753 del self.fieldname2dataset[fieldname]
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
754 self.fieldname2dataset[rename_field(fieldname,self.datasets[i],i)]=i
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
755
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
756 def hasFields(self,*fieldnames):
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
757 for fieldname in fieldnames:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
758 if not fieldname in self.fieldname2dataset:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
759 return False
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
760 return True
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
761
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
762 def fieldNames(self):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
763 return self.fieldname2dataset.keys()
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
764
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
765 def minibatches_nowrap(self,fieldnames,minibatch_size,n_batches,offset):
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
766
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
767 class HStackedIterator(object):
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
768 def __init__(self,hsds,iterators):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
769 self.hsds=hsds
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
770 self.iterators=iterators
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
771 def __iter__(self):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
772 return self
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
773 def next(self):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
774 # concatenate all the fields of the minibatches
140
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 136
diff changeset
775 l=LookupList()
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 136
diff changeset
776 for iter in self.iterators:
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 136
diff changeset
777 l.append_lookuplist(iter.next())
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 136
diff changeset
778 return l
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
779
125
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 123
diff changeset
780 assert self.hasFields(*fieldnames)
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
781 # find out which underlying datasets are necessary to service the required fields
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
782 # and construct corresponding minibatch iterators
140
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 136
diff changeset
783 if fieldnames and fieldnames!=self.fieldNames():
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
784 datasets=set([])
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
785 fields_in_dataset=dict([(dataset,[]) for dataset in datasets])
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
786 for fieldname in fieldnames:
136
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 125
diff changeset
787 dataset=self.datasets[self.fieldname2dataset[fieldname]]
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
788 datasets.add(dataset)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
789 fields_in_dataset[dataset].append(fieldname)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
790 datasets=list(datasets)
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
791 iterators=[dataset.minibatches(fields_in_dataset[dataset],minibatch_size,n_batches,offset)
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
792 for dataset in datasets]
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
793 else:
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
794 datasets=self.datasets
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
795 iterators=[dataset.minibatches(None,minibatch_size,n_batches,offset) for dataset in datasets]
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
796 return HStackedIterator(self,iterators)
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
797
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
798
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
799 def valuesVStack(self,fieldname,fieldvalues):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
800 return self.datasets[self.fieldname2dataset[fieldname]].valuesVStack(fieldname,fieldvalues)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
801
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
802 def valuesHStack(self,fieldnames,fieldvalues):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
803 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
804 We will use the sub-dataset associated with the first fieldname in the fieldnames list
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
805 to do the work, hoping that it can cope with the other values (i.e. won't care
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
806 about the incompatible fieldnames). Hence this heuristic will always work if
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
807 all the fieldnames are of the same sub-dataset.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
808 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
809 return self.datasets[self.fieldname2dataset[fieldnames[0]]].valuesHStack(fieldnames,fieldvalues)
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
810
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
811 class VStackedDataSet(DataSet):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
812 """
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
813 A L{DataSet} that wraps several datasets and shows a view that includes all their examples,
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
814 in the order provided. This clearly assumes that they all have the same field names
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
815 and all (except possibly the last one) are of finite length.
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
816
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
817 @todo: automatically detect a chain of stacked datasets due to A + B + C + D ...
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
818 """
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
819 def __init__(self,datasets):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
820 self.datasets=datasets
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
821 self.length=0
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
822 self.index2dataset={}
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
823 assert len(datasets)>0
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
824 fieldnames = datasets[-1].fieldNames()
38
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
825 self.datasets_start_row=[]
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
826 # We use this map from row index to dataset index for constant-time random access of examples,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
827 # to avoid having to search for the appropriate dataset each time and slice is asked for.
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
828 for dataset,k in enumerate(datasets[0:-1]):
48
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
829 assert dataset.is_unbounded() # All VStacked datasets (except possibly the last) must be bounded (have a length).
b6730f9a336d Fixing MinibatchDataSet getitem
bengioy@grenat.iro.umontreal.ca
parents: 46
diff changeset
830 L=len(dataset)
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
831 for i in xrange(L):
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
832 self.index2dataset[self.length+i]=k
38
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
833 self.datasets_start_row.append(self.length)
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
834 self.length+=L
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
835 assert dataset.fieldNames()==fieldnames
38
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
836 self.datasets_start_row.append(self.length)
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
837 self.length+=len(datasets[-1])
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
838 # If length is very large, we should use a more memory-efficient mechanism
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
839 # that does not store all indices
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
840 if self.length>1000000:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
841 # 1 million entries would require about 60 meg for the index2dataset map
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
842 # TODO
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
843 print "A more efficient mechanism for index2dataset should be implemented"
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
844
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
845 def __len__(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
846 return self.length
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
847
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
848 def fieldNames(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
849 return self.datasets[0].fieldNames()
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
850
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
851 def hasFields(self,*fieldnames):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
852 return self.datasets[0].hasFields(*fieldnames)
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
853
38
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
854 def locate_row(self,row):
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
855 """Return (dataset_index, row_within_dataset) for global row number"""
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
856 dataset_index = self.index2dataset[row]
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
857 row_within_dataset = self.datasets_start_row[dataset_index]
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
858 return dataset_index, row_within_dataset
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
859
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
860 def minibatches_nowrap(self,fieldnames,minibatch_size,n_batches,offset):
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
861
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
862 class VStackedIterator(object):
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
863 def __init__(self,vsds):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
864 self.vsds=vsds
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
865 self.next_row=offset
38
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
866 self.next_dataset_index,self.next_dataset_row=self.vsds.locate_row(offset)
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
867 self.current_iterator,self.n_left_at_the_end_of_ds,self.n_left_in_mb= \
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
868 self.next_iterator(vsds.datasets[0],offset,n_batches)
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
869
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
870 def next_iterator(self,dataset,starting_offset,batches_left):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
871 L=len(dataset)
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
872 ds_nbatches = (L-starting_offset)/minibatch_size
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
873 if batches_left is not None:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
874 ds_nbatches = max(batches_left,ds_nbatches)
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
875 if minibatch_size>L:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
876 ds_minibatch_size=L
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
877 n_left_in_mb=minibatch_size-L
38
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
878 ds_nbatches=1
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
879 else:
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
880 n_left_in_mb=0
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
881 return dataset.minibatches(fieldnames,minibatch_size,ds_nbatches,starting_offset), \
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
882 L-(starting_offset+ds_nbatches*minibatch_size), n_left_in_mb
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
883
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
884 def move_to_next_dataset(self):
38
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
885 if self.n_left_at_the_end_of_ds>0:
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
886 self.current_iterator,self.n_left_at_the_end_of_ds,self.n_left_in_mb= \
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
887 self.next_iterator(vsds.datasets[self.next_dataset_index],
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
888 self.n_left_at_the_end_of_ds,1)
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
889 else:
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
890 self.next_dataset_index +=1
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
891 if self.next_dataset_index==len(self.vsds.datasets):
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
892 self.next_dataset_index = 0
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
893 self.current_iterator,self.n_left_at_the_end_of_ds,self.n_left_in_mb= \
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
894 self.next_iterator(vsds.datasets[self.next_dataset_index],starting_offset,n_batches)
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
895
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
896 def __iter__(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
897 return self
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
898
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
899 def next(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
900 dataset=self.vsds.datasets[self.next_dataset_index]
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
901 mb = self.next_iterator.next()
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
902 if self.n_left_in_mb:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
903 extra_mb = []
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
904 while self.n_left_in_mb>0:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
905 self.move_to_next_dataset()
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
906 extra_mb.append(self.next_iterator.next())
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
907 mb = Example(fieldnames,
40
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
908 [dataset.valuesVStack(name,
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
909 [mb[name]]+[b[name] for b in extra_mb])
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
910 for name in fieldnames])
88fd1cce08b9 replaced infinity for length by raise UnboundedDataSet and use & instead of + to concatenate datasets
bengioy@esprit.iro.umontreal.ca
parents: 39
diff changeset
911
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
912 self.next_row+=minibatch_size
38
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
913 self.next_dataset_row+=minibatch_size
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
914 if self.next_row+minibatch_size>len(dataset):
d637ad8f7352 Finished first untested version of VStackedDataset
bengioy@esprit.iro.umontreal.ca
parents: 37
diff changeset
915 self.move_to_next_dataset()
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
916 return examples
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
917 return VStackedIterator(self)
37
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet
bengioy@esprit.iro.umontreal.ca
parents: 36
diff changeset
918
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
919 class ArrayFieldsDataSet(DataSet):
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
920 """
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
921 Virtual super-class of datasets whose field values are numpy array,
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
922 thus defining valuesHStack and valuesVStack for sub-classes.
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
923 """
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
924 def __init__(self,description=None,field_types=None):
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
925 DataSet.__init__(self,description,field_types)
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
926 def valuesHStack(self,fieldnames,fieldvalues):
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
927 """Concatenate field values horizontally, e.g. two vectors
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
928 become a longer vector, two matrices become a wider matrix, etc."""
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
929 return numpy.hstack(fieldvalues)
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
930 def valuesVStack(self,fieldname,values):
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
931 """Concatenate field values vertically, e.g. two vectors
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
932 become a two-row matrix, two matrices become a longer matrix, etc."""
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
933 return numpy.vstack(values)
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
934
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
935 class ArrayDataSet(ArrayFieldsDataSet):
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
936 """
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
937 An ArrayDataSet stores the fields as groups of columns in a numpy tensor,
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
938 whose first axis iterates over examples, second axis determines fields.
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
939 If the underlying array is N-dimensional (has N axes), then the field
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
940 values are (N-2)-dimensional objects (i.e. ordinary numbers if N=2).
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
941 """
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
942
188
f01ac276c6fb added __contains__ to Dataset, added parent constructor call to ArrayDataSet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 171
diff changeset
943 def __init__(self, data_array, fields_columns, **kwargs):
55
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
944 """
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
945 Construct an ArrayDataSet from the underlying numpy array (data) and
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
946 a map (fields_columns) from fieldnames to field columns. The columns of a field are specified
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
947 using the standard arguments for indexing/slicing: integer for a column index,
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
948 slice for an interval of columns (with possible stride), or iterable of column indices.
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
949 """
188
f01ac276c6fb added __contains__ to Dataset, added parent constructor call to ArrayDataSet
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 171
diff changeset
950 ArrayFieldsDataSet.__init__(self, **kwargs)
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
951 self.data=data_array
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
952 self.fields_columns=fields_columns
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
953
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
954 # check consistency and complete slices definitions
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
955 for fieldname, fieldcolumns in self.fields_columns.items():
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
956 if type(fieldcolumns) is int:
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
957 assert fieldcolumns>=0 and fieldcolumns<data_array.shape[1]
99
a8da709eb6a9 in ArrayDataSet.__init__ if a columns is an index, we change it to be a list that containt only this index. This way, we remove the special case where the columns is an index for all subsequent call.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 98
diff changeset
958 self.fields_columns[fieldname]=[fieldcolumns]
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
959 elif type(fieldcolumns) is slice:
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
960 start,step=None,None
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
961 if not fieldcolumns.start:
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
962 start=0
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
963 if not fieldcolumns.step:
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
964 step=1
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
965 if start or step:
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
966 self.fields_columns[fieldname]=slice(start,fieldcolumns.stop,step)
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
967 elif hasattr(fieldcolumns,"__iter__"): # something like a list
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
968 for i in fieldcolumns:
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
969 assert i>=0 and i<data_array.shape[1]
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
970
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
971 def fieldNames(self):
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
972 return self.fields_columns.keys()
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
973
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
974 def __len__(self):
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
975 return len(self.data)
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
976
80
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
977 def __getitem__(self,key):
55
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
978 """More efficient implementation than the default __getitem__"""
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
979 fieldnames=self.fields_columns.keys()
80
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
980 if type(key) is int:
55
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
981 return Example(fieldnames,
80
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
982 [self.data[key,self.fields_columns[f]] for f in fieldnames])
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
983 if type(key) is slice:
55
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
984 return MinibatchDataSet(Example(fieldnames,
80
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
985 [self.data[key,self.fields_columns[f]] for f in fieldnames]))
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
986 if type(key) is list:
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
987 for i in range(len(key)):
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
988 if self.hasFields(key[i]):
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
989 key[i]=self.fields_columns[key[i]]
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
990 return MinibatchDataSet(Example(fieldnames,
88
6749d18e11c8 bugfix as numpy numpy don't support self.data[[i1,...],[i2,...]] when their is more then two i1 and i2
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 85
diff changeset
991 #we must separate differently for list as numpy
128
ee5507af2c60 minor edits
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 125
diff changeset
992 # doesn't support self.data[[i1,...],[i2,...]]
88
6749d18e11c8 bugfix as numpy numpy don't support self.data[[i1,...],[i2,...]] when their is more then two i1 and i2
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 85
diff changeset
993 # when their is more then two i1 and i2
6749d18e11c8 bugfix as numpy numpy don't support self.data[[i1,...],[i2,...]] when their is more then two i1 and i2
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 85
diff changeset
994 [self.data[key,:][:,self.fields_columns[f]]
6749d18e11c8 bugfix as numpy numpy don't support self.data[[i1,...],[i2,...]] when their is more then two i1 and i2
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 85
diff changeset
995 if isinstance(self.fields_columns[f],list) else
128
ee5507af2c60 minor edits
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 125
diff changeset
996 self.data[key,self.fields_columns[f]] for f in fieldnames]),
ee5507af2c60 minor edits
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 125
diff changeset
997
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
998 self.valuesVStack,self.valuesHStack)
80
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
999
55
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
1000 # else check for a fieldname
80
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
1001 if self.hasFields(key):
105
8c0a1b11b007 bugfix, we keep all the line, but only a some columns
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 101
diff changeset
1002 return self.data[:,self.fields_columns[key]]
55
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
1003 # else we are trying to access a property of the dataset
80
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
1004 assert key in self.__dict__ # else it means we are trying to access a non-existing property
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
1005 return self.__dict__[key]
55
66619ce44497 Efficient implementation of getitem for ArrayDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 48
diff changeset
1006
41
283e95c15b47 Added ArrayDataSet
bengioy@grenat.iro.umontreal.ca
parents: 40
diff changeset
1007
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1008 def minibatches_nowrap(self,fieldnames,minibatch_size,n_batches,offset):
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
1009 class ArrayDataSetIterator(object):
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1010 def __init__(self,dataset,fieldnames,minibatch_size,n_batches,offset):
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1011 if fieldnames is None: fieldnames = dataset.fieldNames()
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
1012 # store the resulting minibatch in a lookup-list of values
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
1013 self.minibatch = LookupList(fieldnames,[0]*len(fieldnames))
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1014 self.dataset=dataset
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1015 self.minibatch_size=minibatch_size
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1016 assert offset>=0 and offset<len(dataset.data)
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1017 assert offset+minibatch_size<=len(dataset.data)
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1018 self.current=offset
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1019 def __iter__(self):
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1020 return self
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1021 def next(self):
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1022 sub_data = self.dataset.data[self.current:self.current+self.minibatch_size]
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
1023 self.minibatch._values = [sub_data[:,self.dataset.fields_columns[f]] for f in self.minibatch._names]
43
e92244f30116 Corrected iterator logic errors
bengioy@grenat.iro.umontreal.ca
parents: 42
diff changeset
1024 self.current+=self.minibatch_size
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
1025 return self.minibatch
42
9b68774fcc6b Testing basic functionality and removing obvious bugs
bengioy@grenat.iro.umontreal.ca
parents: 41
diff changeset
1026
44
5a85fda9b19b Fixed some more iterator bugs
bengioy@grenat.iro.umontreal.ca
parents: 43
diff changeset
1027 return ArrayDataSetIterator(self,fieldnames,minibatch_size,n_batches,offset)
57
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1028
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1029
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1030 class CachedDataSet(DataSet):
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1031 """
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1032 Wrap a L{DataSet} whose values are computationally expensive to obtain
57
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1033 (e.g. because they involve some computation, or disk access),
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1034 so that repeated accesses to the same example are done cheaply,
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1035 by caching every example value that has been accessed at least once.
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1036
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1037 Optionally, for finite-length dataset, all the values can be computed
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1038 (and cached) upon construction of the CachedDataSet, rather at the
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1039 first access.
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1040
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1041 @todo: when cache_all_upon_construction create mini-batches that are as
77
1e2bb5bad636 toying with different ways to implement learners
bengioy@bengiomac.local
parents: 74
diff changeset
1042 large as possible but not so large as to fill up memory.
1e2bb5bad636 toying with different ways to implement learners
bengioy@bengiomac.local
parents: 74
diff changeset
1043
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1044 @todo: add disk-buffering capability, so that when the cache becomes too
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1045 big for memory, we cache things on disk, trying to keep in memory only
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1046 the record most likely to be accessed next.
57
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1047 """
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1048 def __init__(self,source_dataset,cache_all_upon_construction=False):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1049 self.source_dataset=source_dataset
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1050 self.cache_all_upon_construction=cache_all_upon_construction
152
3f627e844cba Fixes in CacheDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 151
diff changeset
1051 self.cached_examples = []
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1052 if cache_all_upon_construction:
77
1e2bb5bad636 toying with different ways to implement learners
bengioy@bengiomac.local
parents: 74
diff changeset
1053 # this potentially brings all the source examples
1e2bb5bad636 toying with different ways to implement learners
bengioy@bengiomac.local
parents: 74
diff changeset
1054 # into memory at once, which may be too much
1e2bb5bad636 toying with different ways to implement learners
bengioy@bengiomac.local
parents: 74
diff changeset
1055 # the work could possibly be done by minibatches
1e2bb5bad636 toying with different ways to implement learners
bengioy@bengiomac.local
parents: 74
diff changeset
1056 # that are as large as possible but no more than what memory allows.
146
8173e196e291 Trying to make CacheDataSet work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 144
diff changeset
1057 fields_values = source_dataset.minibatches(minibatch_size=len(source_dataset)).__iter__().next()
152
3f627e844cba Fixes in CacheDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 151
diff changeset
1058 assert all([len(self)==len(field_values) for field_values in fields_values])
3f627e844cba Fixes in CacheDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 151
diff changeset
1059 for example in fields_values.examples():
171
895b4b60f5e8 bugfix. Otherwise the example was writed over and not a new one was returned
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 167
diff changeset
1060 self.cached_examples.append(copy.copy(example))
57
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1061
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1062 self.fieldNames = source_dataset.fieldNames
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1063 self.hasFields = source_dataset.hasFields
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1064 self.valuesHStack = source_dataset.valuesHStack
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1065 self.valuesVStack = source_dataset.valuesVStack
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1066
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1067 def __len__(self):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1068 return len(self.source_dataset)
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1069
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1070 def minibatches_nowrap(self,fieldnames,minibatch_size,n_batches,offset):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1071 class CacheIterator(object):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1072 def __init__(self,dataset):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1073 self.dataset=dataset
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1074 self.current=offset
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1075 def __iter__(self): return self
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1076 def next(self):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1077 upper = self.current+minibatch_size
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1078 cache_len = len(self.dataset.cached_examples)
135
0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 134
diff changeset
1079 if upper>cache_len: # whole minibatch is not already in cache
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1080 # cache everything from current length to upper
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1081 for example in self.dataset.source_dataset[cache_len:upper]:
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1082 self.dataset.cached_examples.append(example)
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1083 all_fields_minibatch = Example(self.dataset.fieldNames(),
152
3f627e844cba Fixes in CacheDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 151
diff changeset
1084 zip(*self.dataset.cached_examples[self.current:self.current+minibatch_size]))
163
d7d67651d67c bugfix, we should advence by the minibatch size.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 159
diff changeset
1085 self.current+=minibatch_size
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1086 if self.dataset.fieldNames()==fieldnames:
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1087 return all_fields_minibatch
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1088 return Example(fieldnames,[all_fields_minibatch[name] for name in fieldnames])
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1089 return CacheIterator(self)
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1090
153
71107b0ac860 optimization
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 151
diff changeset
1091 def __getitem__(self,i):
71107b0ac860 optimization
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 151
diff changeset
1092 if type(i)==int and len(self.cached_examples)>i:
71107b0ac860 optimization
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 151
diff changeset
1093 return self.cached_examples[i]
71107b0ac860 optimization
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 151
diff changeset
1094 else:
71107b0ac860 optimization
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 151
diff changeset
1095 return DataSet.__getitem__(self,i)
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1096
57
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1097 class ApplyFunctionDataSet(DataSet):
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1098 """
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1099 A L{DataSet} that contains as fields the results of applying a
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1100 given function example-wise or minibatch-wise to all the fields of
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1101 an input dataset. The output of the function should be an iterable
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1102 (e.g. a list or a LookupList) over the resulting values.
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1103
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1104 In minibatch mode, the function is expected to work on minibatches
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1105 (takes a minibatch in input and returns a minibatch in output). More
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1106 precisely, it means that each element of the input or output list
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1107 should be iterable and indexable over the individual example values
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1108 (typically these elements will be numpy arrays). All of the elements
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1109 in the input and output lists should have the same length, which is
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1110 the length of the minibatch.
57
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1111
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1112 The function is applied each time an example or a minibatch is accessed.
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1113 To avoid re-doing computation, wrap this dataset inside a CachedDataSet.
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1114
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1115 If the values_{h,v}stack functions are not provided, then
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1116 the input_dataset.values{H,V}Stack functions are used by default.
57
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1117 """
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1118 def __init__(self,input_dataset,function,output_names,minibatch_mode=True,
74
b4159cbdc06b Fixed errors raised by test_dataset
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 73
diff changeset
1119 values_hstack=None,values_vstack=None,
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1120 description=None,fieldtypes=None):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1121 """
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1122 Constructor takes an input dataset that has as many fields as the function
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1123 expects as inputs. The resulting dataset has as many fields as the function
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1124 produces as outputs, and that should correspond to the number of output names
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1125 (provided in a list).
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1126
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1127 Note that the expected semantics of the function differs in minibatch mode
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1128 (it takes minibatches of inputs and produces minibatches of outputs, as
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1129 documented in the class comment).
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1130 """
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1131 self.input_dataset=input_dataset
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1132 self.function=function
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1133 self.output_names=output_names
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1134 self.minibatch_mode=minibatch_mode
134
3f4e5c9bdc5e Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 132
diff changeset
1135 DataSet.__init__(self,description,fieldtypes)
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1136 self.valuesHStack = values_hstack if values_hstack else input_dataset.valuesHStack
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1137 self.valuesVStack = values_vstack if values_vstack else input_dataset.valuesVStack
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1138
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1139 def __len__(self):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1140 return len(self.input_dataset)
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1141
134
3f4e5c9bdc5e Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 132
diff changeset
1142 def fieldNames(self):
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1143 return self.output_names
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1144
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1145 def minibatches_nowrap(self,fieldnames,minibatch_size,n_batches,offset):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1146 class ApplyFunctionIterator(object):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1147 def __init__(self,output_dataset):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1148 self.input_dataset=output_dataset.input_dataset
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1149 self.output_dataset=output_dataset
134
3f4e5c9bdc5e Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 132
diff changeset
1150 self.input_iterator=self.input_dataset.minibatches(minibatch_size=minibatch_size,
3f4e5c9bdc5e Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 132
diff changeset
1151 n_batches=n_batches,offset=offset).__iter__()
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1152
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1153 def __iter__(self): return self
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1154
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1155 def next(self):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1156 function_inputs = self.input_iterator.next()
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1157 all_output_names = self.output_dataset.output_names
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1158 if self.output_dataset.minibatch_mode:
134
3f4e5c9bdc5e Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 132
diff changeset
1159 function_outputs = self.output_dataset.function(*function_inputs)
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1160 else:
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1161 input_examples = zip(*function_inputs)
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1162 output_examples = [self.output_dataset.function(input_example)
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1163 for input_example in input_examples]
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1164 function_outputs = [self.output_dataset.valuesVStack(name,values)
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1165 for name,values in zip(all_output_names,
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1166 zip(*output_examples))]
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1167 all_outputs = Example(all_output_names,function_outputs)
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1168 if fieldnames==all_output_names:
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1169 return all_outputs
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1170 return Example(fieldnames,[all_outputs[name] for name in fieldnames])
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1171
134
3f4e5c9bdc5e Fixes to ApplyFunctionDataSet and other things to make learner and mlp work
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 132
diff changeset
1172 return ApplyFunctionIterator(self)
73
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1173
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1174 def __iter__(self): # only implemented for increased efficiency
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1175 class ApplyFunctionSingleExampleIterator(object):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1176 def __init__(self,output_dataset):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1177 self.current=0
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1178 self.output_dataset=output_dataset
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1179 self.input_iterator=output_dataset.input_dataset.__iter__()
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1180 def __iter__(self): return self
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1181 def next(self):
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1182 function_inputs = self.input_iterator.next()
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1183 if self.output_dataset.minibatch_mode:
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1184 function_outputs = [output[0] for output in self.output_dataset.function(function_inputs)]
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1185 else:
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1186 function_outputs = self.output_dataset.function(function_inputs)
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1187 return Example(self.output_dataset.output_names,function_outputs)
69f97aad3faf Coded untested ApplyFunctionDataSet and CacheDataSet
bengioy@bengiomac.local
parents: 72
diff changeset
1188 return ApplyFunctionSingleExampleIterator(self)
57
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1189
1aabd2e2bb5f Added empty classes with doc: CachedDataSet and ApplyFunctionDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents: 56
diff changeset
1190
23
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
1191 def supervised_learning_dataset(src_dataset,input_fields,target_fields,weight_field=None):
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
1192 """
167
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1193 Wraps an arbitrary L{DataSet} into one for supervised learning tasks
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1194 by forcing the user to define a set of fields as the 'input' field
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1195 and a set of fields as the 'target' field. Optionally, a single
4803cb76e26b Updated documentation
Joseph Turian <turian@gmail.com>
parents: 166
diff changeset
1196 weight_field can also be defined.
23
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
1197 """
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
1198 args = ((input_fields,'input'),(output_fields,'target'))
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
1199 if weight_field: args+=(([weight_field],'weight'))
36
438440ba0627 Rewriting dataset.py completely
bengioy@zircon.iro.umontreal.ca
parents: 29
diff changeset
1200 return src_dataset.merge_fields(*args)
23
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
1201
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
1202
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
1203
526e192b0699 Working on ApplyFunctionDataSet, added constraint that
bengioy@esprit.iro.umontreal.ca
parents: 22
diff changeset
1204