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  /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
constants.py 33 CLASSIFICATION: Produces a classify signature_fn.
38 CLASSIFICATION = 1
model_fn_test.py 129 constants.ProblemType.CLASSIFICATION, predictions)}
151 constants.ProblemType.CLASSIFICATION, output_alternatives_predictions)}
174 constants.ProblemType.CLASSIFICATION, output_alternatives_predictions)}
195 constants.ProblemType.CLASSIFICATION, output_alternatives_predictions)}
217 constants.ProblemType.CLASSIFICATION, output_alternatives_predictions)}
275 constants.ProblemType.CLASSIFICATION, predictions)}
dynamic_rnn_estimator.py 275 problem_type: Either `ProblemType.CLASSIFICATION` or
279 classification/logistic regression problems.
287 if problem_type == constants.ProblemType.CLASSIFICATION
356 problem_type: either `CLASSIFICATION` or `LINEAR_REGRESSION`.
400 `problem_type == ProblemType.CLASSIFICATION` and
412 problem_type: `ProblemType.CLASSIFICATION` or
427 `ProblemType.CLASSIFICATION`.
450 `ProblemType.LINEAR_REGRESSION` or `ProblemType.CLASSIFICATION`.
454 than `ProblemType.CLASSIFICATION`.
457 if problem_type not in (constants.ProblemType.CLASSIFICATION,
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dynamic_rnn_estimator_test.py 192 constants.ProblemType.CLASSIFICATION,
197 (constants.ProblemType.CLASSIFICATION,
211 constants.ProblemType.CLASSIFICATION,
254 # Only CLASSIFICATION yields eval metrics to test for.
255 problem_type=constants.ProblemType.CLASSIFICATION,
286 problem_type=constants.ProblemType.CLASSIFICATION,
392 problem_type=constants.ProblemType.CLASSIFICATION,
447 problem_type=constants.ProblemType.CLASSIFICATION,
603 problem_type=constants.ProblemType.CLASSIFICATION,
737 problem_type=constants.ProblemType.CLASSIFICATION,
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rnn_common.py 34 # `prediction_key.PredictionKey.CLASSES` for classification. The key
140 problem_type: `ProblemType.CLASSIFICATION` or
154 if problem_type == constants.ProblemType.CLASSIFICATION:
155 # Multi value classification
162 # Single value classification
249 `problem_type` `ProblemType.CLASSIFICATION` or
266 problem_type: Either `ProblemType.CLASSIFICATION` or
270 classification/logistic regression problems.
297 if problem_type == constants.ProblemType.CLASSIFICATION
state_saving_rnn_estimator.py 404 problem_type: `ProblemType.CLASSIFICATION` or
428 Must only be used with `ProblemType.CLASSIFICATION`.
443 or `ProblemType.CLASSIFICATION`.
445 than `ProblemType.CLASSIFICATION`.
448 if problem_type not in (constants.ProblemType.CLASSIFICATION,
452 'ProblemType.CLASSIFICATION; got {}'.
454 if (problem_type != constants.ProblemType.CLASSIFICATION and
458 ' ProblemType.CLASSIFICATION; got {}.'.format(problem_type))
556 problem_type: `ProblemType.CLASSIFICATION` or
570 required if `problem_type` is `ProblemType.CLASSIFICATION`
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state_saving_rnn_estimator_test.py 345 # Only CLASSIFICATION yields eval metrics to test for.
346 problem_type=constants.ProblemType.CLASSIFICATION,
415 constants.ProblemType.CLASSIFICATION,
552 constants.ProblemType.CLASSIFICATION,
635 constants.ProblemType.CLASSIFICATION,
model_fn.py 85 differ by problem type (i.e., regression, classification, other). The
229 # Servo classification can only serve string classes
240 if (problem_type == constants.ProblemType.CLASSIFICATION or
head_test.py 345 None: constants.ProblemType.CLASSIFICATION
551 constants.ProblemType.CLASSIFICATION,
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head.py 266 """Creates a `Head` for multi class single label classification.
299 An instance of `Head` for multi class classification.
307 raise ValueError("n_classes must be > 1 for classification: %s." %
344 """Creates a `Head` for binary classification with SVMs.
363 An instance of `Head` for binary classification with SVM.
381 """Creates a Head for multi label classification.
383 Multi-label classification handles the case where each example may have zero
411 An instance of `Head` for multi label classification.
418 raise ValueError("n_classes must be > 1 for classification.")
793 """`Head` for binary classification with logistic regression.""
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  /external/tensorflow/tensorflow/contrib/learn/python/learn/utils/
saved_model_export_utils_test.py 106 """Tests classification with one output tensor."""
115 problem_type = constants.ProblemType.CLASSIFICATION
155 problem_type = constants.ProblemType.CLASSIFICATION
201 problem_type = constants.ProblemType.CLASSIFICATION
231 """Tests classification without classes tensor."""
244 problem_type = constants.ProblemType.CLASSIFICATION
270 Integer classes are dropped out, because Servo classification can only serve
288 problem_type = constants.ProblemType.CLASSIFICATION
314 Servo classification cannot serve integer classes, but no scores are
329 problem_type = constants.ProblemType.CLASSIFICATION
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saved_model_export_utils.py 93 classification, regression, etc.
139 # Servo classification can only serve string classes.
147 return ((problem_type == constants.ProblemType.CLASSIFICATION or
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  /external/tensorflow/tensorflow/contrib/layers/python/layers/
target_column.py 68 """Creates a _TargetColumn for multi class single label classification.
87 raise ValueError("n_classes must be > 1 for classification.")
104 """Creates a _TargetColumn for binary classification with SVMs.
129 CLASSIFICATION = 1
288 """_TargetColumn for classification."""
299 problem_type=ProblemType.CLASSIFICATION)
322 # "accuracy/threshold_0.500000_mean" metric for binary classification.
367 """_TargetColumn for binary classification using SVMs."""
415 # Check that we got integer for classification.

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