| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| svm_test.py | 33 def input_fn(): function in function:SVMTest.testRealValuedFeaturesPerfectlySeparable
46 svm_classifier.fit(input_fn=input_fn, steps=30)
47 metrics = svm_classifier.evaluate(input_fn=input_fn, steps=1)
59 def input_fn(): function in function:SVMTest.testRealValuedFeaturesWithL2Regularization
72 svm_classifier.fit(input_fn=input_fn, steps=30)
73 metrics = svm_classifier.evaluate(input_fn=input_fn, steps=1
90 def input_fn(): function in function:SVMTest.testMultiDimensionalRealValuedFeaturesWithL2Regularization
114 def input_fn(): function in function:SVMTest.testRealValuedFeaturesWithMildL1Regularization
142 def input_fn(): function in function:SVMTest.testRealValuedFeaturesWithBigL1Regularization
170 def input_fn(): function in function:SVMTest.testSparseFeatures
197 def input_fn(): function in function:SVMTest.testBucketizedFeatures
221 def input_fn(): function in function:SVMTest.testMixedFeatures
[all...] |
| estimators_test.py | 44 def input_fn(): function in function:FeatureEngineeringFunctionTest.testFeatureEngineeringFn
70 estimator.fit(input_fn=input_fn, steps=1)
71 prediction = next(estimator.predict(input_fn=input_fn, as_iterable=True))
75 input_fn=input_fn,
85 def input_fn(): function in function:FeatureEngineeringFunctionTest.testFeatureEngineeringFnWithSameName
110 estimator.fit(input_fn=input_fn, steps=1
125 def input_fn(): function in function:FeatureEngineeringFunctionTest.testNoneFeatureEngineeringFn
[all...] |
| linear_test.py | 83 def input_fn(): function in function:LinearClassifierTest.testTrain
97 classifier.fit(input_fn=input_fn, steps=100)
98 loss1 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
99 classifier.fit(input_fn=input_fn, steps=200)
100 loss2 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
107 def input_fn() function in function:LinearClassifierTest.testJointTrain
446 def input_fn(num_epochs=None): function in function:LinearClassifierTest.testLogisticFractionalLabels
510 def input_fn(num_epochs=None): function in function:LinearClassifierTest.testTrainSaveLoad
626 def input_fn(): function in function:LinearClassifierTest.testExport
648 def input_fn(): function in function:LinearClassifierTest.testDisableCenteredBias
669 def input_fn(): function in function:LinearClassifierTest.testEnableCenteredBias
691 def input_fn(): function in function:LinearClassifierTest.testTrainOptimizerWithL1Reg
716 def input_fn(): function in function:LinearClassifierTest.testTrainWithMissingFeature
735 def input_fn(): function in function:LinearClassifierTest.testSdcaOptimizerRealValuedFeatures
761 def input_fn(): function in function:LinearClassifierTest.testSdcaOptimizerRealValuedFeatureWithHigherDimension
782 def input_fn(): function in function:LinearClassifierTest.testSdcaOptimizerBucketizedFeatures
808 def input_fn(): function in function:LinearClassifierTest.testSdcaOptimizerSparseFeatures
839 def input_fn(): function in function:LinearClassifierTest.testSdcaOptimizerWeightedSparseFeatures
870 def input_fn(): function in function:LinearClassifierTest.testSdcaOptimizerWeightedSparseFeaturesOOVWithNoOOVBuckets
902 def input_fn(): function in function:LinearClassifierTest.testSdcaOptimizerCrossedFeatures
935 def input_fn(): function in function:LinearClassifierTest.testSdcaOptimizerMixedFeatures
973 def input_fn(): function in function:LinearClassifierTest.testSdcaOptimizerPartitionedVariables
1031 def input_fn(): function in function:LinearClassifierTest.testEval
1076 def input_fn(): function in function:LinearRegressorTest.testRegression
1541 def input_fn(): function in function:LinearRegressorTest.testSdcaOptimizerRealValuedLinearFeatures
1566 def input_fn(): function in function:LinearRegressorTest.testSdcaOptimizerMixedFeaturesArbitraryWeights
1604 def input_fn(): function in function:LinearRegressorTest.testSdcaOptimizerPartitionedVariables
1658 def input_fn(): function in function:LinearRegressorTest.testSdcaOptimizerSparseFeaturesWithL1Reg
1730 def input_fn(): function in function:LinearRegressorTest.testSdcaOptimizerBiasOnly
1763 def input_fn(): function in function:LinearRegressorTest.testSdcaOptimizerBiasAndOtherColumns
1825 def input_fn(): function in function:LinearRegressorTest.testSdcaOptimizerBiasAndOtherColumnsFabricatedCentered
1895 def input_fn(): function in function:LinearEstimatorTest.testLinearRegression
1921 def input_fn(): function in function:LinearEstimatorTest.testPoissonRegression
[all...] |
| composable_model_test.py | 122 def input_fn(): function in function:ComposableModelTest.testLinearModel
137 classifier.fit(input_fn=input_fn, steps=1000)
138 loss1 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
139 classifier.fit(input_fn=input_fn, steps=2000)
140 loss2 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
147 def input_fn() function in function:ComposableModelTest.testJointLinearModel
[all...] |
| debug_test.py | 63 def input_fn(): function in function:_input_fn_builder
70 return input_fn
97 input_fn=_input_fn_builder(train_features, train_labels), steps=50)
100 input_fn=_input_fn_builder(test_features, None))
116 input_fn=_input_fn_builder(train_features, train_labels), steps=50)
119 input_fn=_input_fn_builder(test_features, None))
133 input_fn=_input_fn_builder(train_features, train_labels), steps=50)
136 input_fn=_input_fn_builder(test_features, None))
155 input_fn=_input_fn_builder(train_features, train_labels), steps=50)
158 input_fn=_input_fn_builder(test_features, None)
565 def input_fn(): function in function:DebugClassifierTest.testExport
[all...] |
| svm.py | 76 estimator.fit(input_fn=input_fn_train)
77 estimator.evaluate(input_fn=input_fn_eval)
129 labels which are the output of `input_fn` and
164 def predict_classes(self, x=None, input_fn=None, batch_size=None,
170 input_fn=input_fn,
181 def predict_proba(self, x=None, input_fn=None, batch_size=None, outputs=None,
187 input_fn=input_fn,
198 input_fn=None, default_batch_size=1
[all...] |
| dnn_linear_combined_test.py | 221 estimator.fit(input_fn=test_data.iris_input_multiclass_fn, steps=10)
224 estimator.evaluate(input_fn=test_data.iris_input_multiclass_fn, steps=10)
227 estimator.predict(input_fn=test_data.iris_input_multiclass_fn)
277 classifier.fit(input_fn=_input_fn, steps=2)
297 input_fn=test_data.iris_input_multiclass_fn, steps=100,
348 classifier.fit(input_fn=_input_fn_float_label, steps=50)
370 classifier.fit(input_fn=test_data.iris_input_logistic_fn, steps=100)
372 input_fn=test_data.iris_input_logistic_fn, steps=100)
420 classifier.fit(input_fn=_input_fn, steps=100)
421 scores = classifier.evaluate(input_fn=_input_fn, steps=100
901 def input_fn(): function in function:DNNLinearCombinedClassifierTest.testExport
984 def input_fn(): function in function:DNNLinearCombinedClassifierTest.testGlobalStepLinearOnly
1005 def input_fn(): function in function:DNNLinearCombinedClassifierTest.testGlobalStepDNNOnly
1026 def input_fn(): function in function:DNNLinearCombinedClassifierTest.testGlobalStepDNNLinearCombinedBug
1061 def input_fn(): function in function:DNNLinearCombinedClassifierTest.testGlobalStepDNNLinearCombinedBugFixed
1086 def input_fn(): function in function:DNNLinearCombinedClassifierTest.testLinearOnly
1120 def input_fn(): function in function:DNNLinearCombinedClassifierTest.testLinearOnlyOneFeature
1779 def input_fn(): function in function:FeatureEngineeringFunctionTest.testNoneFeatureEngineeringFn
[all...] |
| dnn_test.py | 212 dnn_estimator.fit(input_fn=_input_fn_train, steps=5)
213 scores = dnn_estimator.evaluate(input_fn=_input_fn_eval, steps=1)
287 classifier.fit(input_fn=_input_fn_float_label, steps=50)
303 input_fn = test_data.iris_input_logistic_fn
304 classifier.fit(input_fn=input_fn, steps=5)
305 scores = classifier.evaluate(input_fn=input_fn, steps=1)
327 classifier.fit(input_fn=_input_fn, steps=5)
328 scores = classifier.evaluate(input_fn=_input_fn, steps=1
970 def input_fn(): function in function:DNNClassifierTest.testExport
[all...] |
| debug.py | 38 classifier.fit(input_fn=input_fn_train)
41 loss = classifier.evaluate(input_fn=input_fn_eval)["loss"]
144 classifier.fit(input_fn=input_fn_train)
147 loss = classifier.evaluate(input_fn=input_fn_eval)["loss"]
185 labels which are the output of `input_fn` and returns
209 def predict_classes(self, input_fn=None, batch_size=None):
213 input_fn: Input function.
222 input_fn=input_fn, batch_size=batch_size, outputs=[key])
226 input_fn=None
[all...] |
| kmeans_test.py | 72 def input_fn(self, member in class:KMeansTestBase
77 """Returns an input_fn that randomly selects batches from given points."""
163 kmeans.fit(input_fn=self.input_fn(), steps=1)
169 kmeans.fit(input_fn=self.input_fn(), steps=1)
171 input_fn=self.input_fn(batch_size=self.num_points), steps=1)
173 kmeans.fit(input_fn=self.input_fn(), steps=steps
563 def input_fn(self): member in class:KMeansTestQueues
[all...] |
| dnn.py | 252 estimator.fit(input_fn=input_fn_train)
256 estimator.evaluate(input_fn=input_fn_eval)
261 estimator.predict_classes(input_fn=input_fn_predict)
276 estimator.fit(input_fn=input_fn_train)
280 estimator.evaluate(input_fn=input_fn_eval)
283 estimator.predict_classes(input_fn=input_fn_predict)
351 labels which are the output of `input_fn` and returns features and
398 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None,
407 input_fn: Input function. If set, x must be None.
425 input_fn=input_fn
[all...] |
| linear.py | 358 estimator.fit(input_fn=input_fn_train)
359 estimator.evaluate(input_fn=input_fn_eval)
361 estimator.predict_classes(input_fn=input_fn_predict)
376 estimator.fit(input_fn=input_fn_train)
380 estimator.evaluate(input_fn=input_fn_eval)
383 estimator.predict_classes(input_fn=input_fn_predict)
444 labels which are the output of `input_fn` and
510 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None,
519 input_fn: Input function. If set, x must be None.
537 input_fn=input_fn
[all...] |
| /external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
| random_forest_test.py | 74 input_fn, predict_input_fn = _get_classification_input_fns()
75 classifier.fit(input_fn=input_fn, steps=100)
76 res = classifier.evaluate(input_fn=input_fn, steps=10)
81 predictions = list(classifier.predict(input_fn=predict_input_fn))
98 input_fn, predict_input_fn = _get_regression_input_fns()
100 regressor.fit(input_fn=input_fn, steps=100)
101 res = regressor.evaluate(input_fn=input_fn, steps=10
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| sdca_estimator_test.py | 44 def input_fn(): function in function:SDCALogisticClassifierTest.testRealValuedFeatures
60 classifier.fit(input_fn=input_fn, steps=100)
61 loss = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
67 # input_fn is identical to the one in testRealValuedFeatures where 2
69 def input_fn(): function in function:SDCALogisticClassifierTest.testRealValuedFeatureWithHigherDimension
82 classifier.fit(input_fn=input_fn, steps=100)
83 loss = classifier.evaluate(input_fn=input_fn, steps=1)['loss'
89 def input_fn(): function in function:SDCALogisticClassifierTest.testBucketizedFeatures
116 def input_fn(): function in function:SDCALogisticClassifierTest.testSparseFeatures
146 def input_fn(): function in function:SDCALogisticClassifierTest.testWeightedSparseFeatures
177 def input_fn(): function in function:SDCALogisticClassifierTest.testSparseFeaturesWithDuplicates
209 def input_fn(): function in function:SDCALogisticClassifierTest.testCrossedFeatures
241 def input_fn(): function in function:SDCALogisticClassifierTest.testMixedFeatures
280 def input_fn(): function in function:SDCALogisticClassifierTest.testPartitionedMixedFeatures
334 def input_fn(): function in function:SDCALinearRegressorTest.testRealValuedLinearFeatures
358 def input_fn(): function in function:SDCALinearRegressorTest.testMixedFeaturesArbitraryWeights
398 def input_fn(): function in function:SDCALinearRegressorTest.testMixedFeaturesArbitraryWeightsPartitioned
440 def input_fn(): function in function:SDCALinearRegressorTest.testSdcaOptimizerSparseFeaturesWithL1Reg
510 def input_fn(): function in function:SDCALinearRegressorTest.testBiasOnly
541 def input_fn(): function in function:SDCALinearRegressorTest.testBiasAndOtherColumns
602 def input_fn(): function in function:SDCALinearRegressorTest.testBiasAndOtherColumnsFabricatedCentered
[all...] |
| /external/tensorflow/tensorflow/contrib/predictor/ |
| predictor_factories_test.py | 58 input_fn = testing_common.get_arithmetic_input_fn(core=False)
60 estimator, input_fn, output_alternative_key='sum')
64 input_fn = testing_common.get_arithmetic_input_fn(core=False)
66 estimator, input_fn, output_alternative_key='sum',
71 input_fn = testing_common.get_arithmetic_input_fn(core=True)
73 predictor_factories.from_contrib_estimator(estimator, input_fn)
77 input_fn = testing_common.get_arithmetic_input_fn(core=True)
78 predictor_factories.from_estimator(estimator, input_fn)
82 input_fn = testing_common.get_arithmetic_input_fn(core=True)
84 estimator, input_fn, config=config_pb2.ConfigProto()
[all...] |
| /external/tensorflow/tensorflow/contrib/kernel_methods/python/ |
| kernel_estimators_test.py | 88 input_fn=_linearly_separable_binary_input_fn, steps=100)
91 input_fn=_linearly_separable_binary_input_fn, steps=1)
100 logreg_classifier.predict_proba(input_fn=
119 input_fn=_linearly_inseparable_binary_input_fn, steps=50)
121 input_fn=_linearly_inseparable_binary_input_fn, steps=1)
125 input_fn=_linearly_inseparable_binary_input_fn, as_iterable=False)
141 input_fn=_linearly_inseparable_binary_input_fn, steps=50)
143 input_fn=_linearly_inseparable_binary_input_fn, steps=1)
157 input_fn=_linearly_inseparable_binary_input_fn, steps=50)
171 input_fn=_linearly_inseparable_binary_input_fn, steps=50
194 def input_fn(): function in function:KernelLinearClassifierTest.testClassifierWithAndWithoutKernelsNoRealValuedColumns
[all...] |
| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| gmm_test.py | 38 def input_fn(self, batch_size=None, points=None): member in class:GMMTest
68 clusterer.fit(input_fn=lambda: (constant_op.constant(self.points), None),
92 gmm.fit(input_fn=self.input_fn(), steps=0)
102 gmm.fit(input_fn=self.input_fn(), steps=0)
111 gmm.fit(input_fn=self.input_fn(), steps=1)
112 score1 = gmm.score(input_fn=self.input_fn(batch_size=self.num_points)
191 def input_fn(): function in function:GMMTest.test_random_input_large.get_input_fn
201 def input_fn(self): member in class:GMMTestQueues
[all...] |
| kmeans_test.py | 72 def input_fn(self, member in class:KMeansTestBase
77 """Returns an input_fn that randomly selects batches from given points."""
163 kmeans.train(input_fn=self.input_fn(), steps=1)
169 kmeans.train(input_fn=self.input_fn(), steps=1)
170 score1 = kmeans.score(input_fn=self.input_fn(batch_size=self.num_points))
172 kmeans.train(input_fn=self.input_fn(), steps=steps
594 def input_fn(self): member in class:KMeansTestQueues
[all...] |
| wals_test.py | 82 def input_fn(self, np_matrix, batch_size, mode, member in class:WALSMatrixFactorizationTest
85 """Returns an input_fn that selects row and col batches from np_matrix.
260 input_fn = self.input_fn(np_matrix=self.input_matrix,
264 self._model.fit(input_fn=input_fn, steps=self.row_steps)
271 input_fn = self.input_fn(np_matrix=self.input_matrix,
275 self._model.fit(input_fn=input_fn, steps=self.col_steps
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/ |
| pandas_io_test.py | 47 def callInputFnOnce(self, input_fn, session):
48 results = input_fn()
70 input_fn = pandas_io.pandas_input_fn(
73 features, target = self.callInputFnOnce(input_fn, session)
88 input_fn = pandas_io.pandas_input_fn(
91 results = input_fn()
117 input_fn = pandas_io.pandas_input_fn(
120 results = input_fn()
151 input_fn = pandas_io.pandas_input_fn(
154 features = self.callInputFnOnce(input_fn, session
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/utils/ |
| input_fn_utils.py | 46 """A return type for an input_fn (deprecated).
51 This return type is currently only supported for serving input_fn.
52 Training and eval input_fn should return a `(features, labels)` tuple.
61 the input placeholders (if any) that this input_fn expects to be fed.
62 Typically, this is used by a serving input_fn, which expects to be fed
70 """Build an input_fn appropriate for serving, expecting fed tf.Examples.
72 Creates an input_fn that expects a serialized tf.Example fed into a string
74 feature_spec, and returns all parsed Tensors as features. This input_fn is
83 An input_fn suitable for use in serving.
85 def input_fn() function in function:build_parsing_serving_input_fn
114 def input_fn(): function in function:build_default_serving_input_fn
[all...] |
| /external/tensorflow/tensorflow/contrib/distribute/python/examples/ |
| keras_model_with_estimator.py | 26 def input_fn(): function
66 keras_estimator.train(input_fn=input_fn, steps=10)
67 eval_result = keras_estimator.evaluate(input_fn=input_fn)
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| estimator_test.py | 159 classifier.fit(input_fn=_train_input_fn, steps=15)
160 classifier.evaluate(input_fn=_eval_input_fn, steps=1)
179 classifier.fit(input_fn=_train_input_fn, steps=15)
180 result_iter = classifier.predict(input_fn=_eval_input_fn)
206 model.fit(input_fn=_train_input_fn, steps=15)
207 model.evaluate(input_fn=_eval_input_fn, steps=1)
226 classifier.fit(input_fn=_train_input_fn, steps=15)
227 classifier.evaluate(input_fn=_eval_input_fn, steps=1)
246 regressor.fit(input_fn=_train_input_fn, steps=15)
247 regressor.evaluate(input_fn=_eval_input_fn, steps=1
[all...] |
| dnn_tree_combined_estimator_test.py | 86 classifier.fit(input_fn=_train_input_fn, steps=5)
108 classifier.fit(input_fn=_train_input_fn, steps=15)
109 classifier.evaluate(input_fn=_eval_input_fn, steps=1)
132 classifier.fit(input_fn=_train_input_fn, steps=15)
133 classifier.evaluate(input_fn=_eval_input_fn, steps=1)
166 est.train(input_fn=_train_input_fn, steps=1000)
169 res = est.evaluate(input_fn=_eval_input_fn, steps=1)
171 est.predict(input_fn=_eval_input_fn)
197 est.train(input_fn=_train_input_fn, steps=1000)
198 res = est.evaluate(input_fn=_eval_input_fn, steps=1
[all...] |
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| structural_ensemble_test.py | 79 estimator.train(input_fn=train_input_fn, max_steps=1)
80 first_evaluation = estimator.evaluate(input_fn=eval_input_fn, steps=1)
81 estimator.train(input_fn=train_input_fn, max_steps=3)
82 second_evaluation = estimator.evaluate(input_fn=eval_input_fn, steps=1)
119 regressor.train(input_fn=train_input_fn, steps=1)
122 evaluation = regressor.evaluate(input_fn=eval_input_fn, steps=1)
126 regressor.predict(input_fn=predict_input_fn)
143 regressor.train(input_fn=train_input_fn, steps=1)
146 evaluation = regressor.evaluate(input_fn=eval_input_fn, steps=1)
149 regressor.predict(input_fn=predict_input_fn
[all...] |
