pylearn: dataset.py annotate

annotate dataset.py @ 38:d637ad8f7352

Finished first untested version of VStackedDataset

author	bengioy@esprit.iro.umontreal.ca
date	Thu, 24 Apr 2008 13:25:39 -0400
parents	73c4212ba5b3
children	c682c6e9bf93

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
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	4 from misc import *
26 672fe4b23032 Fixed dataset errors so that _test_dataset.py works again. bengioy@grenat.iro.umontreal.ca parents: 23 diff changeset	5 import copy
11 be128b9127c8 Debugged (to the extent of my tests) the new version of dataset bengioy@esprit.iro.umontreal.ca parents: 9 diff changeset	6
17 759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	7 class AbstractFunction (Exception): """Derived class must override this function"""
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	8 class NotImplementedYet (NotImplementedError): """Work in progress, this should eventually be implemented"""
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	9
1 2cd82666b9a7 Added statscollector and started writing dataset and learner. bengioy@esprit.iro.umontreal.ca parents: 0 diff changeset	10 class DataSet(object):
16 813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	11 """A virtual base class for datasets.
813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	12
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	13 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	14 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	15 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	16 python object, which depends on the particular dataset.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	17
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	18 We call a DataSet a 'stream' when its length is unbounded (len(dataset)==float("infinity")).
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	19
16 813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	20 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	21 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	22 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	23 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	24 feasible or not recommanded on streams).
16 813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	25
813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	26 To iterate over examples, there are several possibilities:
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	27 * for example in dataset([field1, field2,field3, ...]):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	28 * for val1,val2,val3 in dataset([field1, field2,field3]):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	29 * for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	30 * for example in dataset:
23 526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	31 Each of these is documented below. All of these iterators are expected
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	32 to provide, in addition to the usual 'next()' method, a 'next_index()' method
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	33 which returns a non-negative integer pointing to the position of the next
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	34 example that will be returned by 'next()' (or of the first example in the
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	35 next minibatch returned). This is important because these iterators
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	36 can wrap around the dataset in order to do multiple passes through it,
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	37 in possibly unregular ways if the minibatch size is not a divisor of the
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	38 dataset length.
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	39
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	40 To iterate over fields, one can do
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	41 * for fields in dataset.fields()
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	42 * 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	43 * 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	44 and each of these fields is iterable over the examples:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	45 * for field_examples in dataset.fields():
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	46 for example_value in field_examples:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	47 ...
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	48 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	49 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	50 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	51 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	52 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	53 be turned back into a DataSet with its examples() method:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	54 dataset2 = dataset1.fields().examples()
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	55 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	56
16 813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	57 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	58
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	59 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	60 (e.g. to handle semi-supervised learning), and in the case of numeric (numpy array)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	61 fields (i.e. an ArrayFieldsDataSet), NaN plays the role of a missing value.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	62
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	63 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	64 of examples) can be extracted. These operations are not supported
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	65 by default in the case of streams.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	66
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	67 * dataset[:n] returns a dataset with the n first examples.
16 813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	68
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	69 * dataset[i1:i2:s] returns a dataset with the examples i1,i1+s,...i2-s.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	70
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	71 * dataset[i] returns an Example.
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 * dataset[[i1,i2,...in]] returns a dataset with examples i1,i2,...in.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	74
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	75 Datasets can be concatenated either vertically (increasing the length) or
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	76 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	77 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	78 and numpy.vstack):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	79
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	80 * 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	81
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	82 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	83 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	84
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	85 * dataset1 + dataset2 + dataset3 == dataset.vstack([dataset1,dataset2,dataset3])
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	86
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	87 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	88 (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	89 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	90
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	91 According to the same logic, and viewing a DataSetFields object associated to
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	92 a DataSet as a kind of transpose of it, fields1 + fields2 concatenates fields of
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	93 a DataSetFields fields1 and fields2, and fields1 \| fields2 concatenates their
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	94 examples.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	95
22 b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	96
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	97 A DataSet sub-class should always redefine the following methods:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	98 * __len__ if it is not a stream
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	99 * __getitem__ may not be feasible with some streams
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	100 * fieldNames
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	101 * minibatches_nowrap (called by DataSet.minibatches())
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	102 * valuesHStack
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	103 * valuesVStack
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	104 For efficiency of implementation, a sub-class might also want to redefine
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	105 * hasFields
2 3fddb1c8f955 Rewrote DataSet interface and created FiniteDataSet interface. bengioy@bengiomac.local parents: 1 diff changeset	106 """
1 2cd82666b9a7 Added statscollector and started writing dataset and learner. bengioy@esprit.iro.umontreal.ca parents: 0 diff changeset	107
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	108 infinity = float("infinity")
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	109
11 be128b9127c8 Debugged (to the extent of my tests) the new version of dataset bengioy@esprit.iro.umontreal.ca parents: 9 diff changeset	110 def __init__(self):
be128b9127c8 Debugged (to the extent of my tests) the new version of dataset bengioy@esprit.iro.umontreal.ca parents: 9 diff changeset	111 pass
be128b9127c8 Debugged (to the extent of my tests) the new version of dataset bengioy@esprit.iro.umontreal.ca parents: 9 diff changeset	112
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	113 class MinibatchToSingleExampleIterator(object):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	114 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	115 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	116 single-example values in the result. Therefore the result of
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	117 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	118 (whereas the result of iterating over minibatches gives in each
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	119 Example field an iterable object over the individual examples in
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	120 the minibatch).
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	121 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	122 def __init__(self, minibatch_iterator):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	123 self.minibatch_iterator = minibatch_iterator
22 b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	124 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	125 return self
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	126 def next(self):
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	127 return self.minibatch_iterator.next()[0]
23 526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	128 def next_index(self):
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	129 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	130
3 378b68d5c4ad Added first (untested) version of ArrayDataSet bengioy@bengiomac.local parents: 2 diff changeset	131 def __iter__(self):
16 813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	132 """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	133
16 813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	134 Using this syntax, "i" will be an Example instance (or equivalent) with
813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	135 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	136 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	137 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	138 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	139 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	140
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	141 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	142 """
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	143 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	144
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	145
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	146 class MinibatchWrapAroundIterator(object):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	147 """
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	148 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	149 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	150 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	151 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	152 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	153 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	154 """
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	155 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	156 self.dataset=dataset
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	157 self.fieldnames=fieldnames
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	158 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	159 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	160 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	161 self.next_row=offset
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	162 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	163 assert offset+minibatch_size<=self.L
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	164 ds_nbatches = (self.L-offset)/minibatch_size
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	165 if n_batches is not None:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	166 ds_nbatches = max(n_batches,ds_nbatches)
38 d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	167 if fieldnames:
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	168 assert dataset.hasFields(*fieldnames)
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	169 else:
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	170 fieldnames=dataset.fieldNames()
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	171 self.iterator = dataset.minibatches_nowrap(fieldnames,minibatch_size,ds_nbatches,offset)
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	172
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	173 def __iter__(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	174 return self
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	175
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	176 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	177 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	178
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	179 def next(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	180 if self.n_batches and self.n_batches_done==self.n_batches:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	181 raise StopIteration
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	182 upper = self.next_row+minibatch_size
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	183 if upper <=self.L:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	184 minibatch = self.minibatch_iterator.next()
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	185 else:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	186 if not self.n_batches:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	187 raise StopIteration
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	188 # we must concatenate (vstack) the bottom and top parts of our minibatch
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	189 # first get the beginning of our minibatch (top of dataset)
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	190 first_part = self.dataset.minibatches_nowrap(fieldnames,self.L-self.next_row,1,self.next_row).next()
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	191 second_part = self.dataset.minibatches_nowrap(fieldnames,upper-self.L,1,0).next()
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	192 minibatch = Example(self.fieldnames,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	193 [self.dataset.valuesVStack(name,[first_part[name],second_part[name]])
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	194 for name in self.fieldnames])
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	195 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	196 self.n_batches_done+=1
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	197 if upper >= L:
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	198 self.next_row -= L
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	199 return minibatch
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	200
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	201
17 759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	202 minibatches_fieldnames = None
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	203 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	204 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	205 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	206 fieldnames = minibatches_fieldnames,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	207 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	208 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	209 offset = 0):
6 d5738b79089a Removed MinibatchIterator and instead made minibatch_size a field of all DataSets, bengioy@bengiomac.local parents: 5 diff changeset	210 """
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	211 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	212
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	213 for i in dataset.minibatches(None,**kwargs): ...
16 813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	214
17 759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	215 for i in dataset.minibatches([f1, f2, f3],**kwargs): ...
16 813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	216
17 759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	217 for i1, i2, i3 in dataset.minibatches([f1, f2, f3],**kwargs): ...
16 813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	218
22 b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	219 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	220 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	221 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	222 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	223 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	224
22 b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	225 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	226 Beware that some datasets may not support this syntax, if the number
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	227 of fields is infinite (i.e. field values may be computed "on demand").
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	228
b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	229 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	230 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	231
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	232 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	233 a DataSetFields object, which is a LookupList (indexed by the field names) whose
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	234 elements are iterable over the minibatch examples, and which keeps a pointer to
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	235 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	236 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	237 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	238
17 759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	239 PARAMETERS
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	240 - 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	241 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	242 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	243 derived class can choose a default, e.g. all fields.
16 813723310d75 commenting bergstrj@iro.umontreal.ca parents: 15 11 diff changeset	244
17 759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	245 - 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	246 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	247 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	248
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	249 - 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	250 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	251 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	252 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	253
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	254 - 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	255 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	256
17 759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	257 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	258 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	259
11 be128b9127c8 Debugged (to the extent of my tests) the new version of dataset bengioy@esprit.iro.umontreal.ca parents: 9 diff changeset	260 """
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	261 return MinibatchWrapAroundIterator(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	262
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	263 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	264 """
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	265 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	266 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	267 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	268 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	269 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	270 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	271 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	272 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	273 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	274 """
17 759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	275 raise AbstractFunction()
22 b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	276
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	277 def __len__(self):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	278 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	279 len(dataset) returns the number of examples in the dataset.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	280 By default, a DataSet is a 'stream', i.e. it has an unbounded (infinite) length.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	281 Sub-classes which implement finite-length datasets should redefine this method.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	282 Some methods only make sense for finite-length datasets, and will perform
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	283 assert len(dataset)<DataSet.infinity
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	284 in order to check the finiteness of the dataset.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	285 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	286 return infinity
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	287
26 672fe4b23032 Fixed dataset errors so that _test_dataset.py works again. bengioy@grenat.iro.umontreal.ca parents: 23 diff changeset	288 def hasFields(self,*fieldnames):
20 266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works. bengioy@bengiomac.local parents: 19 diff changeset	289 """
22 b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	290 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	291 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	292 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	293
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	294 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	295 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	296 """
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	297 return len(unique_elements_list_intersection(fieldnames,self.fieldNames()))>0
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	298
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	299 def fieldNames(self):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	300 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	301 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	302 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	303 """
17 759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	304 raise AbstractFunction()
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	305
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	306 def __call__(self,*fieldnames):
23 526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	307 """
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	308 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	309 """
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	310 assert self.hasFields(fieldnames)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	311 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	312
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	313 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	314 """
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	315 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	316 """
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	317 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	318
2 3fddb1c8f955 Rewrote DataSet interface and created FiniteDataSet interface. bengioy@bengiomac.local parents: 1 diff changeset	319 def __getitem__(self,i):
28 541a273bc89f Removed __array__ method from dataset, whose bengioy@grenat.iro.umontreal.ca parents: 26 diff changeset	320 """
541a273bc89f Removed __array__ method from dataset, whose bengioy@grenat.iro.umontreal.ca parents: 26 diff changeset	321 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	322 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	323 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	324 dataset[[i1,i2,..,in]] returns the subdataset with examples i1,i2,...,in.
1 2cd82666b9a7 Added statscollector and started writing dataset and learner. bengioy@esprit.iro.umontreal.ca parents: 0 diff changeset	325
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	326 Note that some stream datasets may be unable to implement slicing/indexing
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	327 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	328 and do not actually store or keep past (or future) examples.
28 541a273bc89f Removed __array__ method from dataset, whose bengioy@grenat.iro.umontreal.ca parents: 26 diff changeset	329 """
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	330 raise NotImplementedError()
22 b6b36f65664f Created virtual sub-classes of DataSet: {Finite{Length,Width},Sliceable}DataSet, bengioy@esprit.iro.umontreal.ca parents: 20 diff changeset	331
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	332 def valuesHStack(self,fieldnames,fieldvalues):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	333 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	334 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	335 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	336 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	337 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	338 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	339 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	340 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	341 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	342 pointing to the original values for other data types.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	343 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	344 all_numpy=True
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	345 for value in fieldvalues:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	346 if not type(value) is numpy.ndarray:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	347 all_numpy=False
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	348 if all_numpy:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	349 return numpy.hstack(fieldvalues)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	350 # 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	351 return fieldvalues
26 672fe4b23032 Fixed dataset errors so that _test_dataset.py works again. bengioy@grenat.iro.umontreal.ca parents: 23 diff changeset	352
672fe4b23032 Fixed dataset errors so that _test_dataset.py works again. bengioy@grenat.iro.umontreal.ca parents: 23 diff changeset	353
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	354 def valuesVStack(self,fieldname,values):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	355 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	356 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	357 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	358 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	359 result should be numpy.vstack(values).
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	360 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	361 pointing to the original values for other data types.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	362 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	363 all_numpy=True
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	364 for value in values:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	365 if not type(value) is numpy.ndarray:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	366 all_numpy=False
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	367 if all_numpy:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	368 return numpy.vstack(values)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	369 # 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	370 return values
17 759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	371
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	372 def __or__(self,other):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	373 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	374 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	375 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	376 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	377 return HStackedDataSet(self,other)
3 378b68d5c4ad Added first (untested) version of ArrayDataSet bengioy@bengiomac.local parents: 2 diff changeset	378
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	379 def __add__(self,other):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	380 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	381 dataset1 + dataset2 is a dataset that concatenates the examples from the argument datasets
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	382 (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	383 works if they all have the same fields.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	384 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	385 return VStackedDataSet(self,other)
23 526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	386
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	387 def hstack(datasets):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	388 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	389 hstack(dataset1,dataset2,...) returns dataset1 \| datataset2 \| ...
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	390 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	391 of the individual datasets.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	392 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	393 assert len(datasets)>0
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	394 if len(datasets)==1:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	395 return datasets[0]
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	396 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	397
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	398 def vstack(datasets):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	399 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	400 vstack(dataset1,dataset2,...) returns dataset1 + datataset2 + ...
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	401 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	402 over those of dataset2, etc.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	403 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	404 assert len(datasets)>0
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	405 if len(datasets)==1:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	406 return datasets[0]
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	407 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	408
759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	409
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	410 class DataSetFields(LookupList):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	411 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	412 Although a DataSet iterates over examples (like rows of a matrix), an associated
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	413 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	414 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	415
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	416 To iterate over fields, one can do
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	417 * for fields in dataset.fields()
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	418 * 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	419 * 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	420 and each of these fields is iterable over the examples:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	421 * for field_examples in dataset.fields():
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	422 for example_value in field_examples:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	423 ...
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	424 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	425 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	426 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	427 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	428 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	429 be turned back into a DataSet with its examples() method:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	430 dataset2 = dataset1.fields().examples()
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	431 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	432 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	433 def __init__(self,dataset,*fieldnames):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	434 self.dataset=dataset
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	435 assert dataset.hasFields(*fieldnames)
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	436 LookupList.__init__(self,dataset.fieldNames(),
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	437 dataset.minibatches(fieldnames if len(fieldnames)>0 else self.fieldNames(),
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	438 minibatch_size=len(dataset)).next()
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	439 def examples(self):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	440 return self.dataset
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	441
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	442 def __or__(self,other):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	443 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	444 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	445 of the list of examples of DataSetFields fields1 and fields2.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	446 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	447 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	448
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	449 def __add__(self,other):
17 759d17112b23 more comments, looping ArrayDataSet iterator, bugfixes to lookup_list, more tests bergstrj@iro.umontreal.ca parents: 16 12 diff changeset	450 """
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	451 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	452 of the fields of DataSetFields fields1 and fields2.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	453 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	454 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	455
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	456
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	457 class MinibatchDataSet(DataSet):
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 Turn a LookupList of same-length fields into an example-iterable dataset.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	460 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	461 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	462 def __init__(self,fields_lookuplist,values_vstack=DataSet().valuesVStack,
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	463 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	464 """
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	465 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	466 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	467 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	468 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	469 self.fields=fields_lookuplist
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	470 assert len(fields_lookuplist)>0
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	471 self.length=len(fields_lookuplist[0])
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	472 for field in fields_lookuplist[1:]:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	473 assert self.length==len(field)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	474 self.values_vstack=values_vstack
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	475 self.values_hstack=values_hstack
3 378b68d5c4ad Added first (untested) version of ArrayDataSet bengioy@bengiomac.local parents: 2 diff changeset	476
378b68d5c4ad Added first (untested) version of ArrayDataSet bengioy@bengiomac.local parents: 2 diff changeset	477 def __len__(self):
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	478 return self.length
28 541a273bc89f Removed __array__ method from dataset, whose bengioy@grenat.iro.umontreal.ca parents: 26 diff changeset	479
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	480 def __getitem__(self,i):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	481 return Example(self.fields.keys(),[field[i] for field in self.fields])
11 be128b9127c8 Debugged (to the extent of my tests) the new version of dataset bengioy@esprit.iro.umontreal.ca parents: 9 diff changeset	482
29 46c5c90019c2 Changed apply_function so that it propagates methods of the source. bengioy@grenat.iro.umontreal.ca parents: 28 diff changeset	483 def fieldNames(self):
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	484 return self.fields.keys()
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	485
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	486 def hasFields(self,*fieldnames):
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	487 for fieldname in fieldnames:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	488 if fieldname not in self.fields:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	489 return False
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	490 return True
20 266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works. bengioy@bengiomac.local parents: 19 diff changeset	491
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	492 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	493 class Iterator(object):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	494 def __init__(self,ds):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	495 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	496 self.next_example=offset
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	497 assert minibatch_size > 0
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	498 if offset+minibatch_size > ds.length
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	499 raise NotImplementedError()
20 266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works. bengioy@bengiomac.local parents: 19 diff changeset	500 def __iter__(self):
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works. bengioy@bengiomac.local parents: 19 diff changeset	501 return self
266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works. bengioy@bengiomac.local parents: 19 diff changeset	502 def next(self):
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	503 upper = 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	504 assert upper<=self.ds.length
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	505 minibatch = Example(self.ds.fields.keys(),
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	506 [field[next_example:upper]
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	507 for field in self.ds.fields])
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	508 self.next_example+=minibatch_size
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	509 return DataSetFields(MinibatchDataSet(minibatch),fieldnames)
20 266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works. bengioy@bengiomac.local parents: 19 diff changeset	510
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	511 return MinibatchWrapAroundIterator(self,fieldnames,minibatch_size,n_batches,offset)
20 266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works. bengioy@bengiomac.local parents: 19 diff changeset	512
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	513 def valuesVStack(self,fieldname,fieldvalues):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	514 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	515
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	516 def valuesHStack(self,fieldnames,fieldvalues):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	517 return self.values_hstack(fieldnames,fieldvalues)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	518
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	519 class HStackedDataSet(DataSet):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	520 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	521 A DataSet that wraps several datasets and shows a view that includes all their fields,
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	522 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	523
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	524 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	525 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	526 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	527
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	528 TODO: automatically detect a chain of stacked datasets due to A \| B \| C \| D ...
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	529 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	530 def __init__(self,datasets,accept_nonunique_names=False):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	531 DataSet.__init__(self)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	532 self.datasets=datasets
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	533 self.accept_nonunique_names=accept_nonunique_names
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	534 self.fieldname2dataset={}
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	535
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	536 def rename_field(fieldname,dataset,i):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	537 if hasattr(dataset,"__name__"):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	538 return dataset.__name__ + "." + fieldname
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	539 return fieldname+"."+str(i)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	540
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	541 # 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	542 self.length=None
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	543 names_to_change=[]
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	544 for i in xrange(len(datasets)):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	545 dataset = datasets[i]
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	546 length=len(dataset)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	547 if self.length:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	548 assert self.length==length
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	549 else:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	550 self.length=length
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	551 for fieldname in dataset.fieldNames():
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	552 if fieldname in self.fieldname2dataset: # name conflict!
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	553 if accept_nonunique_names:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	554 fieldname=rename_field(fieldname,dataset,i)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	555 names2change.append((fieldname,i))
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	556 else:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	557 raise ValueError("Incompatible datasets: non-unique field name = "+fieldname)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	558 self.fieldname2dataset[fieldname]=i
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	559 for fieldname,i in names_to_change:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	560 del self.fieldname2dataset[fieldname]
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	561 self.fieldname2dataset[rename_field(fieldname,self.datasets[i],i)]=i
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	562
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	563 def hasFields(self,*fieldnames):
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	564 for fieldname in fieldnames:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	565 if not fieldname in self.fieldname2dataset:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	566 return False
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	567 return True
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	568
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	569 def fieldNames(self):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	570 return self.fieldname2dataset.keys()
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	571
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	572 def minibatches_nowrap(self,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	573 fieldnames = minibatches_fieldnames,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	574 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	575 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	576 offset = 0):
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	577
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	578 class Iterator(object):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	579 def __init__(self,hsds,iterators):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	580 self.hsds=hsds
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	581 self.iterators=iterators
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	582 def __iter__(self):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	583 return self
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	584 def next(self):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	585 # concatenate all the fields of the minibatches
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	586 minibatch = reduce(LookupList.__add__,[iterator.next() for iterator in self.iterators])
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	587 # and return a DataSetFields whose dataset is the transpose (=examples()) of this minibatch
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	588 return DataSetFields(MinibatchDataSet(minibatch,self.hsds.valuesVStack,
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	589 self.hsds.valuesHStack),
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	590 fieldnames if fieldnames else hsds.fieldNames())
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	591
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	592 assert self.hasfields(fieldnames)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	593 # 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	594 # and construct corresponding minibatch iterators
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	595 if fieldnames:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	596 datasets=set([])
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	597 fields_in_dataset=dict([(dataset,[]) for dataset in datasets])
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	598 for fieldname in fieldnames:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	599 dataset=self.datasets[self.fieldnames2dataset[fieldname]]
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	600 datasets.add(dataset)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	601 fields_in_dataset[dataset].append(fieldname)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	602 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	603 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	604 for dataset in datasets]
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	605 else:
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	606 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	607 iterators=[dataset.minibatches(None,minibatch_size,n_batches,offset) for dataset in datasets]
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	608 return Iterator(self,iterators)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	609
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	610
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	611 def valuesVStack(self,fieldname,fieldvalues):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	612 return self.datasets[self.fieldname2dataset[fieldname]].valuesVStack(fieldname,fieldvalues)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	613
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	614 def valuesHStack(self,fieldnames,fieldvalues):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	615 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	616 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	617 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	618 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	619 all the fieldnames are of the same sub-dataset.
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	620 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	621 return self.datasets[self.fieldname2dataset[fieldnames[0]]].valuesHStack(fieldnames,fieldvalues)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	622
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	623 class VStackedDataSet(DataSet):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	624 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	625 A DataSet that wraps several datasets and shows a view that includes all their examples,
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	626 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	627 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	628
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	629 TODO: automatically detect a chain of stacked datasets due to A + B + C + D ...
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	630 """
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	631 def __init__(self,datasets):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	632 self.datasets=datasets
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	633 self.length=0
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	634 self.index2dataset={}
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	635 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	636 fieldnames = datasets[-1].fieldNames()
38 d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	637 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	638 # 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	639 # 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	640 for dataset,k in enumerate(datasets[0:-1]):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	641 L=len(dataset)
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	642 assert L<DataSet.infinity
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	643 for i in xrange(L):
438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	644 self.index2dataset[self.length+i]=k
38 d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	645 self.datasets_start_row.append(self.length)
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	646 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	647 assert dataset.fieldNames()==fieldnames
38 d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	648 self.datasets_start_row.append(self.length)
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	649 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	650 # 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	651 # 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	652 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	653 # 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	654 # TODO
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	655 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	656
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	657 def __len__(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	658 return self.length
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	659
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	660 def fieldNames(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	661 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	662
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	663 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	664 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	665
38 d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	666 def locate_row(self,row):
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	667 """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	668 dataset_index = self.index2dataset[row]
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	669 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	670 return dataset_index, row_within_dataset
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	671
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	672 def minibatches_nowrap(self,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	673 fieldnames = minibatches_fieldnames,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	674 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	675 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	676 offset = 0):
38 d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	677
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	678 class Iterator(object):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	679 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	680 self.vsds=vsds
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	681 self.next_row=offset
38 d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	682 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	683 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	684 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	685
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	686 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	687 L=len(dataset)
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	688 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	689 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	690 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	691 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	692 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	693 n_left_in_mb=minibatch_size-L
38 d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	694 ds_nbatches=1
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	695 else:
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	696 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	697 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	698 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	699
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	700 def move_to_next_dataset(self):
38 d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	701 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	702 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	703 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	704 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	705 else:
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	706 self.next_dataset_index +=1
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	707 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	708 self.next_dataset_index = 0
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	709 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	710 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	711
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	712 def __iter__(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	713 return self
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	714
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	715 def next(self):
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	716 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	717 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	718 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	719 extra_mb = []
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	720 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	721 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	722 extra_mb.append(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	723 mb = Example(names,
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	724 [dataset.valuesVStack(name,[mb[name]]+[b[name] for b in extra_mb])
38 d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	725 for name in fieldnames])
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	726 self.next_row+=minibatch_size
38 d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	727 self.next_dataset_row+=minibatch_size
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	728 if self.next_row+minibatch_size>len(dataset):
d637ad8f7352 Finished first untested version of VStackedDataset bengioy@esprit.iro.umontreal.ca parents: 37 diff changeset	729 self.move_to_next_dataset()
37 73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	730 return mb
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	731
73c4212ba5b3 Factored the minibatch-writing code into an iterator class inside DataSet bengioy@esprit.iro.umontreal.ca parents: 36 diff changeset	732
23 526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	733 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	734 """
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	735 Wraps an arbitrary DataSet into one for supervised learning tasks by forcing the
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	736 user to define a set of fields as the 'input' field and a set of fields
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	737 as the 'target' field. Optionally, a single weight_field can also be defined.
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	738 """
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	739 args = ((input_fields,'input'),(output_fields,'target'))
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	740 if weight_field: args+=(([weight_field],'weight'))
36 438440ba0627 Rewriting dataset.py completely bengioy@zircon.iro.umontreal.ca parents: 29 diff changeset	741 return src_dataset.merge_fields(*args)
23 526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	742
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	743
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	744
526e192b0699 Working on ApplyFunctionDataSet, added constraint that bengioy@esprit.iro.umontreal.ca parents: 22 diff changeset	745

Mercurial > pylearn

annotate dataset.py @ 38:d637ad8f7352