pylearn: learner.py annotate

annotate learner.py @ 133:b4657441dd65

Corrected typos

author	Yoshua Bengio <bengioy@iro.umontreal.ca>
date	Fri, 09 May 2008 13:38:54 -0400
parents	f6505ec32dc3
children	3f4e5c9bdc5e

rev	line source
1 2cd82666b9a7 Added statscollector and started writing dataset and learner. bengioy@esprit.iro.umontreal.ca parents: 0 diff changeset	1
129 4c2280edcaf5 Fixed typos in learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 128 diff changeset	2 from dataset import AttributesHolder,AbstractFunction
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	3 import compile
129 4c2280edcaf5 Fixed typos in learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 128 diff changeset	4 from theano import tensor as t
1 2cd82666b9a7 Added statscollector and started writing dataset and learner. bengioy@esprit.iro.umontreal.ca parents: 0 diff changeset	5
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	6 class Learner(AttributesHolder):
132 f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	7 """
f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	8 Base class for learning algorithms, provides an interface
1 2cd82666b9a7 Added statscollector and started writing dataset and learner. bengioy@esprit.iro.umontreal.ca parents: 0 diff changeset	9 that allows various algorithms to be applicable to generic learning
2cd82666b9a7 Added statscollector and started writing dataset and learner. bengioy@esprit.iro.umontreal.ca parents: 0 diff changeset	10 algorithms.
2cd82666b9a7 Added statscollector and started writing dataset and learner. bengioy@esprit.iro.umontreal.ca parents: 0 diff changeset	11
132 f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	12 A L{Learner} can be seen as a learning algorithm, a function that when
10 80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	13 applied to training data returns a learned function, an object that
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	14 can be applied to other data and return some output data.
1 2cd82666b9a7 Added statscollector and started writing dataset and learner. bengioy@esprit.iro.umontreal.ca parents: 0 diff changeset	15 """
2cd82666b9a7 Added statscollector and started writing dataset and learner. bengioy@esprit.iro.umontreal.ca parents: 0 diff changeset	16
10 80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	17 def __init__(self):
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	18 pass
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	19
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	20 def forget(self):
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	21 """
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	22 Reset the state of the learner to a blank slate, before seeing
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	23 training data. The operation may be non-deterministic if the
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	24 learner has a random number generator that is set to use a
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	25 different seed each time it forget() is called.
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	26 """
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	27 raise NotImplementedError
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	28
14 5ede27026e05 Working on gradient_based_learner bengioy@bengiomac.local parents: 13 diff changeset	29 def update(self,training_set,train_stats_collector=None):
10 80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	30 """
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	31 Continue training a learner, with the evidence provided by the given training set.
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	32 Hence update can be called multiple times. This is particularly useful in the
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	33 on-line setting or the sequential (Bayesian or not) settings.
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	34 The result is a function that can be applied on data, with the same
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	35 semantics of the Learner.use method.
75 90e4c0784d6e Added draft of LinearRegression learner bengioy@bengiomac.local parents: 20 diff changeset	36
132 f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	37 The user may optionally provide a training L{StatsCollector} that is used to record
75 90e4c0784d6e Added draft of LinearRegression learner bengioy@bengiomac.local parents: 20 diff changeset	38 some statistics of the outputs computed during training. It is update(d) during
90e4c0784d6e Added draft of LinearRegression learner bengioy@bengiomac.local parents: 20 diff changeset	39 training.
10 80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	40 """
13 633453635d51 Starting to work on gradient_based_learner.py bengioy@bengiomac.local parents: 10 diff changeset	41 return self.use # default behavior is 'non-adaptive', i.e. update does not do anything
10 80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	42
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	43
20 266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works. bengioy@bengiomac.local parents: 14 diff changeset	44 def __call__(self,training_set,train_stats_collector=None):
10 80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	45 """
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	46 Train a learner from scratch using the provided training set,
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	47 and return the learned function.
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	48 """
80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	49 self.forget()
133 b4657441dd65 Corrected typos Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 132 diff changeset	50 return self.update(training_set,train_stats_collector)
1 2cd82666b9a7 Added statscollector and started writing dataset and learner. bengioy@esprit.iro.umontreal.ca parents: 0 diff changeset	51
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	52 def use(self,input_dataset,output_fieldnames=None,
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	53 test_stats_collector=None,copy_inputs=True,
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	54 put_stats_in_output_dataset=True,
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	55 output_attributes=[]):
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	56 """
132 f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	57 Once a L{Learner} has been trained by one or more call to 'update', it can
f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	58 be used with one or more calls to 'use'. The argument is an input L{DataSet} (possibly
f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	59 containing a single example) and the result is an output L{DataSet} of the same length.
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	60 If output_fieldnames is specified, it may be use to indicate which fields should
132 f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	61 be constructed in the output L{DataSet} (for example ['output','classification_error']).
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	62 Otherwise, self.defaultOutputFields is called to choose the output fields.
20 266c68cb6136 Minor editions, plus adding untested ApplyFunctionDataset for GradientLearner in the works. bengioy@bengiomac.local parents: 14 diff changeset	63 Optionally, if copy_inputs, the input fields (of the input_dataset) can be made
132 f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	64 visible in the output L{DataSet} returned by this method.
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	65 Optionally, attributes of the learner can be copied in the output dataset,
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	66 and statistics computed by the stats collector also put in the output dataset.
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	67 Note the distinction between fields (which are example-wise quantities, e.g. 'input')
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	68 and attributes (which are not, e.g. 'regularization_term').
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	69
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	70 We provide here a default implementation that does all this using
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	71 a sub-class defined method: minibatchwiseUseFunction.
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	72
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	73 @todo check if some of the learner attributes are actually SPECIFIED
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	74 as attributes of the input_dataset, and if so use their values instead
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	75 of the ones in the learner.
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	76
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	77 The learner tries to compute in the output dataset the output fields specified.
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	78 If None is specified then self.defaultOutputFields(input_dataset.fieldNames())
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	79 is called to determine the output fields.
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	80
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	81 Attributes of the learner can also optionally be copied into the output dataset.
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	82 If output_attributes is None then all of the attributes in self.AttributeNames()
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	83 are copied in the output dataset, but if it is [] (the default), then none are copied.
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	84 If a test_stats_collector is provided, then its attributes (test_stats_collector.AttributeNames())
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	85 are also copied into the output dataset attributes.
10 80bf5492e571 Rewrote learner.py according to the specs in the wiki for learners. bengioy@esprit.iro.umontreal.ca parents: 1 diff changeset	86 """
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	87 minibatchwise_use_function = self.minibatchwiseUseFunction(input_dataset.fieldNames(),
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	88 output_fieldnames,
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	89 test_stats_collector)
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	90 virtual_output_dataset = ApplyFunctionDataSet(input_dataset,
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	91 minibatchwise_use_function,
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	92 True,DataSet.numpy_vstack,
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	93 DataSet.numpy_hstack)
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	94 # actually force the computation
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	95 output_dataset = CachedDataSet(virtual_output_dataset,True)
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	96 if copy_inputs:
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	97 output_dataset = input_dataset \| output_dataset
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	98 # copy the wanted attributes in the dataset
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	99 if output_attributes is None:
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	100 output_attributes = self.attributeNames()
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	101 if output_attributes:
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	102 assert set(attribute_names) <= set(self.attributeNames())
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	103 output_dataset.setAttributes(output_attributes,
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	104 self.names2attributes(output_attributes,return_copy=True))
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	105 if test_stats_collector:
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	106 test_stats_collector.update(output_dataset)
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	107 if put_stats_in_output_dataset:
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	108 output_dataset.setAttributes(test_stats_collector.attributeNames(),
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	109 test_stats_collector.attributes())
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	110 return output_dataset
77 1e2bb5bad636 toying with different ways to implement learners bengioy@bengiomac.local parents: 75 diff changeset	111
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	112 def minibatchwiseUseFunction(self, input_fields, output_fields, stats_collector):
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	113 """
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	114 Returns a function that can map the given input fields to the given output fields
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	115 and to the attributes that the stats collector needs for its computation.
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	116 That function is expected to operate on minibatches.
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	117 The function returned makes use of the self.useInputAttributes() and
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	118 sets the attributes specified by self.useOutputAttributes().
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	119 """
92 c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	120 def attributeNames(self):
78 3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	121 """
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	122 A Learner may have attributes that it wishes to export to other objects. To automate
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	123 such export, sub-classes should define here the names (list of strings) of these attributes.
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	124
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	125 @todo By default, attributeNames looks for all dictionary entries whose name does not start with _.
78 3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	126 """
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	127 return []
77 1e2bb5bad636 toying with different ways to implement learners bengioy@bengiomac.local parents: 75 diff changeset	128
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	129 def attributes(self,return_copy=False):
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	130 """
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	131 Return a list with the values of the learner's attributes (or optionally, a deep copy).
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	132 """
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	133 return self.names2attributes(self.attributeNames(),return_copy)
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	134
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	135 def names2attributes(self,names,return_copy=False):
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	136 """
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	137 Private helper function that maps a list of attribute names to a list
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	138 of (optionally copies) values of attributes.
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	139 """
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	140 if return_copy:
129 4c2280edcaf5 Fixed typos in learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 128 diff changeset	141 return [copy.deepcopy(self.__getattribute__(name).data) for name in names]
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	142 else:
129 4c2280edcaf5 Fixed typos in learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 128 diff changeset	143 return [self.__getattribute__(name).data for name in names]
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	144
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	145 def updateInputAttributes(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	146 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	147 A subset of self.attributeNames() which are the names of attributes needed by update() in order
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	148 to do its work.
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	149 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	150 raise AbstractFunction()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	151
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	152 def useInputAttributes(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	153 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	154 A subset of self.attributeNames() which are the names of attributes needed by use() in order
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	155 to do its work.
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	156 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	157 raise AbstractFunction()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	158
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	159 def updateOutputAttributes(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	160 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	161 A subset of self.attributeNames() which are the names of attributes modified/created by update() in order
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	162 to do its work.
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	163
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	164 By default these are inferred from the various update output attributes:
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	165 """
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	166 return ["parameters"] + self.updateMinibatchOutputAttributes() + self.updateEndOutputAttributes()
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	167
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	168 def useOutputAttributes(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	169 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	170 A subset of self.attributeNames() which are the names of attributes modified/created by use() in order
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	171 to do its work.
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	172 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	173 raise AbstractFunction()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	174
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	175
78 3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	176 class TLearner(Learner):
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	177 """
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	178 TLearner is a virtual class of Learners that attempts to factor out of the definition
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	179 of a learner the steps that are common to many implementations of learning algorithms,
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	180 so as to leave only 'the equations' to define in particular sub-classes, using Theano.
78 3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	181
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	182 In the default implementations of use and update, it is assumed that the 'use' and 'update' methods
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	183 visit examples in the input dataset sequentially. In the 'use' method only one pass through the dataset is done,
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	184 whereas the sub-learner may wish to iterate over the examples multiple times. Subclasses where this
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	185 basic model is not appropriate can simply redefine update or use.
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	186
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	187 Sub-classes must provide the following functions and functionalities:
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	188 - attributeNames(): defines all the names of attributes which can be used as fields or
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	189 attributes in input/output datasets or in stats collectors.
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	190 All these attributes are expected to be theano.Result objects
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	191 (with a .data property and recognized by theano.Function for compilation).
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	192 The sub-class constructor defines the relations between
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	193 the Theano variables that may be used by 'use' and 'update'
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	194 or by a stats collector.
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	195 - defaultOutputFields(input_fields): return a list of default dataset output fields when
3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	196 None are provided by the caller of use.
92 c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	197 The following naming convention is assumed and important.
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	198 Attributes whose names are listed in attributeNames() can be of any type,
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	199 but those that can be referenced as input/output dataset fields or as
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	200 output attributes in 'use' or as input attributes in the stats collector
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	201 should be associated with a Theano Result variable. If the exported attribute
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	202 name is <name>, the corresponding Result name (an internal attribute of
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	203 the TLearner, created in the sub-class constructor) should be _<name>.
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	204 Typically <name> will be numpy ndarray and _<name> will be the corresponding
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	205 Theano Tensor (for symbolic manipulation).
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	206
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	207 @todo pousser dans Learner toute la poutine qui peut l'etre sans etre
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	208 dependant de Theano
78 3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	209 """
92 c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	210
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	211 def __init__(self):
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	212 Learner.__init__(self)
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	213
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	214 def defaultOutputFields(self, input_fields):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	215 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	216 Return a default list of output field names (to put in the output dataset).
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	217 This will be used when None are provided (as output_fields) by the caller of the 'use' method.
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	218 This may involve looking at the input_fields (names) available in the
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	219 input_dataset.
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	220 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	221 raise AbstractFunction()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	222
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	223 def minibatchwiseUseFunction(self, input_fields, output_fields, stats_collector):
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	224 """
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	225 Implement minibatchwiseUseFunction by exploiting Theano compilation
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	226 and the expression graph defined by a sub-class constructor.
92 c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	227 """
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	228 if not output_fields:
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	229 output_fields = self.defaultOutputFields(input_fields)
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	230 if stats_collector:
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	231 stats_collector_inputs = stats_collector.input2UpdateAttributes()
92 c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	232 for attribute in stats_collector_inputs:
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	233 if attribute not in input_fields:
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	234 output_fields.append(attribute)
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	235 key = (input_fields,output_fields)
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	236 if key not in self.use_functions_dictionary:
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	237 use_input_attributes = self.useInputAttributes()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	238 use_output_attributes = self.useOutputAttributes()
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	239 complete_f = compile.function(self.names2OpResults(input_fields+use_input_attributes),
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	240 self.names2OpResults(output_fields+use_output_attributes))
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	241 def f(*input_field_values):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	242 input_attribute_values = self.names2attributes(use_input_attributes)
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	243 results = complete_f(*(input_field_values + input_attribute_values))
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	244 output_field_values = results[0:len(output_fields)]
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	245 output_attribute_values = results[len(output_fields):len(results)]
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	246 if use_output_attributes:
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	247 self.setAttributes(use_output_attributes,output_attribute_values)
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	248 return output_field_values
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	249 self.use_functions_dictionary[key]=f
92 c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	250 return self.use_functions_dictionary[key]
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	251
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	252 def names2OpResults(self,names):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	253 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	254 Private helper function that maps a list of attribute names to a list
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	255 of corresponding Op Results (with the same name but with a '_' prefix).
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	256 """
133 b4657441dd65 Corrected typos Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 132 diff changeset	257 return [self.__getattribute__('_'+name) for name in names]
92 c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	258
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	259
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	260 class MinibatchUpdatesTLearner(TLearner):
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	261 """
132 f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	262 This adds to L{TLearner} a
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	263 - updateStart(), updateEnd(), updateMinibatch(minibatch), isLastEpoch():
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	264 functions executed at the beginning, the end, in the middle
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	265 (for each minibatch) of the update method, and at the end
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	266 of each epoch. This model only
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	267 works for 'online' or one-shot learning that requires
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	268 going only once through the training data. For more complicated
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	269 models, more specialized subclasses of TLearner should be used
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	270 or a learning-algorithm specific update method should be defined.
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	271
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	272 - a 'parameters' attribute which is a list of parameters (whose names are
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	273 specified by the user's subclass with the parameterAttributes() method)
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	274
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	275 """
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	276
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	277 def __init__(self):
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	278 TLearner.__init__(self)
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	279 self.update_minibatch_function = compile.function
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	280 (self.names2OpResults(self.updateMinibatchOutputAttributes()+
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	281 self.updateMinibatchInputFields()),
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	282 self.names2OpResults(self.updateMinibatchOutputAttributes()))
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	283 self.update_end_function = compile.function
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	284 (self.names2OpResults(self.updateEndInputAttributes()),
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	285 self.names2OpResults(self.updateEndOutputAttributes()))
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	286
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	287 def allocate(self, minibatch):
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	288 """
132 f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	289 This function is called at the beginning of each L{updateMinibatch}
128 ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	290 and should be used to check that all required attributes have been
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	291 allocated and initialized (usually this function calls forget()
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	292 when it has to do an initialization).
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	293 """
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	294 raise AbstractFunction()
ee5507af2c60 minor edits Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 126 diff changeset	295
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	296 def updateMinibatchInputFields(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	297 raise AbstractFunction()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	298
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	299 def updateMinibatchInputAttributes(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	300 raise AbstractFunction()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	301
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	302 def updateMinibatchOutputAttributes(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	303 raise AbstractFunction()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	304
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	305 def updateEndInputAttributes(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	306 raise AbstractFunction()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	307
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	308 def updateEndOutputAttributes(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	309 raise AbstractFunction()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	310
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	311 def parameterAttributes(self):
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	312 raise AbstractFunction()
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	313
133 b4657441dd65 Corrected typos Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 132 diff changeset	314 def updateStart(self,training_set):
b4657441dd65 Corrected typos Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 132 diff changeset	315 pass
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	316
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	317 def updateEnd(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	318 self.setAttributes(self.updateEndOutputAttributes(),
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	319 self.update_end_function
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	320 (self.names2attributes(self.updateEndInputAttributes())))
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	321 self.parameters = self.names2attributes(self.parameterAttributes())
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	322
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	323 def updateMinibatch(self,minibatch):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	324 # make sure all required fields are allocated and initialized
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	325 self.allocate(minibatch)
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	326 self.setAttributes(self.updateMinibatchOutputAttributes(),
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	327 # concatenate the attribute values and field values and then apply update fn
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	328 self.update_minibatch_function(*(self.names2attributes
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	329 (self.updateMinibatchInputAttributes()))
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	330 + minibatch(self.updateMinibatchInputFields())))
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	331
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	332 def isLastEpoch(self):
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	333 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	334 This method is called at the end of each epoch (cycling over the training set).
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	335 It returns a boolean to indicate if this is the last epoch.
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	336 By default just do one epoch.
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	337 """
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	338 return True
78 3499918faa9d In the middle of designing TLearner bengioy@bengiomac.local parents: 77 diff changeset	339
92 c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	340 def update(self,training_set,train_stats_collector=None):
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	341 """
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	342 @todo check if some of the learner attributes are actually SPECIFIED
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	343 in as attributes of the training_set.
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	344 """
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	345 self.updateStart(training_set)
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	346 stop=False
133 b4657441dd65 Corrected typos Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 132 diff changeset	347 if hasattr(self,'_minibatch_size') and self._minibatch_size:
b4657441dd65 Corrected typos Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 132 diff changeset	348 minibatch_size=self._minibatch_size
b4657441dd65 Corrected typos Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 132 diff changeset	349 else:
b4657441dd65 Corrected typos Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 132 diff changeset	350 minibatch_size=min(100,len(training_set))
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	351 while not stop:
92 c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	352 if train_stats_collector:
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	353 train_stats_collector.forget() # restart stats collectin at the beginning of each epoch
133 b4657441dd65 Corrected typos Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 132 diff changeset	354 for minibatch in training_set.minibatches(minibatch_size=minibatch_size):
b4657441dd65 Corrected typos Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 132 diff changeset	355 self.updateMinibatch(minibatch)
107 c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	356 if train_stats_collector:
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	357 minibatch_set = minibatch.examples()
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	358 minibatch_set.setAttributes(self.attributeNames(),self.attributes())
c4916445e025 Comments from Pascal V. Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 92 diff changeset	359 train_stats_collector.update(minibatch_set)
110 8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	360 stop = self.isLastEpoch()
8fa1ef2411a0 Worked on OneShotTLearner and implementation of LinearRegression bengioy@bengiomac.local parents: 109 diff changeset	361 self.updateEnd()
92 c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	362 return self.use
c4726e19b8ec Finished first draft of TLearner Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 78 diff changeset	363
129 4c2280edcaf5 Fixed typos in learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 128 diff changeset	364 class OnlineGradientTLearner(MinibatchUpdatesTLearner):
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	365 """
132 f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	366 Specialization of L{MinibatchUpdatesTLearner} in which the minibatch updates
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	367 are obtained by performing an online (minibatch-based) gradient step.
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	368
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	369 Sub-classes must define the following:
132 f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	370 - self._learning_rate (may be changed by the sub-class between epochs or minibatches)
f6505ec32dc3 Updated documentation slightly Joseph Turian <turian@gmail.com> parents: 131 diff changeset	371 - self.lossAttribute() = name of the loss field
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	372 """
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	373 def __init__(self,truly_online=False):
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	374 """
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	375 If truly_online then only one pass is made through the training set passed to update().
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	376
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	377 SUBCLASSES SHOULD CALL THIS CONSTRUCTOR ONLY AFTER HAVING DEFINED ALL THEIR THEANO FORMULAS
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	378 """
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	379 self.truly_online=truly_online
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	380
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	381 # create the formulas for the gradient update
129 4c2280edcaf5 Fixed typos in learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 128 diff changeset	382 old_params = [self.__getattribute__("_"+name) for name in self.parameterAttributes()]
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	383 new_params_names = ["_new_"+name for name in self.parameterAttributes()]
129 4c2280edcaf5 Fixed typos in learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 128 diff changeset	384 loss = self.__getattribute__("_"+self.lossAttribute())
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	385 self.setAttributes(new_params_names,
129 4c2280edcaf5 Fixed typos in learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 128 diff changeset	386 [t.add_inplace(param,self._learning_rate*t.grad(loss,param))
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	387 for param in old_params])
129 4c2280edcaf5 Fixed typos in learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 128 diff changeset	388 MinibatchUpdatesTLearner.__init__(self)
4c2280edcaf5 Fixed typos in learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 128 diff changeset	389
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	390 def isLastEpoch(self):
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	391 return self.truly_online
88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	392
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	393 def updateMinibatchInputAttributes(self):
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	394 return self.parameterAttributes()
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	395
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	396 def updateMinibatchOutputAttributes(self):
133 b4657441dd65 Corrected typos Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 132 diff changeset	397 return ["new_"+name for name in self.parameterAttributes()]
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	398
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	399 def updateEndInputAttributes(self):
d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	400 return self.parameterAttributes()
111 88257dfedf8c Added another work in progress, for mlp's bengioy@bengiomac.local parents: 110 diff changeset	401
118 d0a1bd0378c6 Finished draft of OneHiddenLayerNNetClassifier to debut learner.py Yoshua Bengio <bengioy@iro.umontreal.ca> parents: 111 diff changeset	402

Mercurial > pylearn

annotate learner.py @ 133:b4657441dd65