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  /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
constants.py 25 class ProblemType(object):
model_fn_test.py 92 constants.ProblemType.LINEAR_REGRESSION, predictions)}
111 constants.ProblemType.LINEAR_REGRESSION,
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)}
236 constants.ProblemType.LOGISTIC_REGRESSION, predictions)}
255 constants.ProblemType.UNSPECIFIED, predictions)}
273 constants.ProblemType.LINEAR_REGRESSION, predictions)
    [all...]
model_fn.py 110 for models that use them), `problem_type` is a `ProblemType`,
237 if problem_type == constants.ProblemType.LINEAR_REGRESSION:
240 if (problem_type == constants.ProblemType.CLASSIFICATION or
241 problem_type == constants.ProblemType.LOGISTIC_REGRESSION):
245 if problem_type == constants.ProblemType.UNSPECIFIED:
dynamic_rnn_estimator.py 275 problem_type: Either `ProblemType.CLASSIFICATION` or
276 `ProblemType.LINEAR_REGRESSION`.
287 if problem_type == constants.ProblemType.CLASSIFICATION
400 `problem_type == ProblemType.CLASSIFICATION` and
404 `problem_type == ProblemType.LINEAR_REGRESSION`, the output alternative
412 problem_type: `ProblemType.CLASSIFICATION` or
413 `ProblemType.LINEAR_REGRESSION`.
427 `ProblemType.CLASSIFICATION`.
450 `ProblemType.LINEAR_REGRESSION` or `ProblemType.CLASSIFICATION`
    [all...]
dynamic_rnn_estimator_test.py 192 constants.ProblemType.CLASSIFICATION,
197 (constants.ProblemType.CLASSIFICATION,
202 constants.ProblemType.LINEAR_REGRESSION,
207 (constants.ProblemType.LINEAR_REGRESSION,
211 constants.ProblemType.CLASSIFICATION,
255 problem_type=constants.ProblemType.CLASSIFICATION,
286 problem_type=constants.ProblemType.CLASSIFICATION,
392 problem_type=constants.ProblemType.CLASSIFICATION,
447 problem_type=constants.ProblemType.CLASSIFICATION,
544 problem_type=constants.ProblemType.LINEAR_REGRESSION
    [all...]
rnn_common.py 140 problem_type: `ProblemType.CLASSIFICATION` or
141 `ProblemType.LINEAR_REGRESSION`.
154 if problem_type == constants.ProblemType.CLASSIFICATION:
167 elif problem_type == constants.ProblemType.LINEAR_REGRESSION:
249 `problem_type` `ProblemType.CLASSIFICATION` or
251 `ProblemType.LINEAR_REGRESSION`.
266 problem_type: Either `ProblemType.CLASSIFICATION` or
267 `ProblemType.LINEAR_REGRESSION`.
297 if problem_type == constants.ProblemType.CLASSIFICATION
state_saving_rnn_estimator.py 404 problem_type: `ProblemType.CLASSIFICATION` or
405 `ProblemType.LINEAR_REGRESSION`.
428 Must only be used with `ProblemType.CLASSIFICATION`.
442 `ProblemType.LINEAR_REGRESSION`
443 or `ProblemType.CLASSIFICATION`.
445 than `ProblemType.CLASSIFICATION`.
448 if problem_type not in (constants.ProblemType.CLASSIFICATION,
449 constants.ProblemType.LINEAR_REGRESSION):
451 'problem_type must be ProblemType.LINEAR_REGRESSION or '
452 'ProblemType.CLASSIFICATION; got {}'
    [all...]
state_saving_rnn_estimator_test.py 346 problem_type=constants.ProblemType.CLASSIFICATION,
415 constants.ProblemType.CLASSIFICATION,
496 constants.ProblemType.LINEAR_REGRESSION,
552 constants.ProblemType.CLASSIFICATION,
635 constants.ProblemType.CLASSIFICATION,
logistic_regressor.py 64 'head': (constants.ProblemType.LOGISTIC_REGRESSION, {
head_test.py 102 None: constants.ProblemType.LINEAR_REGRESSION
137 None: constants.ProblemType.LINEAR_REGRESSION
345 None: constants.ProblemType.CLASSIFICATION
551 constants.ProblemType.CLASSIFICATION,
735 None: constants.ProblemType.LOGISTIC_REGRESSION
    [all...]
__init__.py 214 problem_type = ProblemType.CLASSIFICATION # or REGRESSION
296 from tensorflow.contrib.learn.python.learn.estimators.constants import ProblemType
head.py 533 'problem_type' is a `ProblemType`,
700 problem_type=constants.ProblemType.LINEAR_REGRESSION,
823 problem_type=constants.ProblemType.LOGISTIC_REGRESSION,
    [all...]
  /external/tensorflow/tensorflow/contrib/learn/python/learn/utils/
saved_model_export_utils_test.py 84 problem_type = constants.ProblemType.LINEAR_REGRESSION
115 problem_type = constants.ProblemType.CLASSIFICATION
155 problem_type = constants.ProblemType.CLASSIFICATION
201 problem_type = constants.ProblemType.CLASSIFICATION
244 problem_type = constants.ProblemType.CLASSIFICATION
288 problem_type = constants.ProblemType.CLASSIFICATION
329 problem_type = constants.ProblemType.CLASSIFICATION
372 "head-1": (constants.ProblemType.LINEAR_REGRESSION,
374 "head-2": (constants.ProblemType.CLASSIFICATION, "bogus output dict 2"),
375 "head-3": (constants.ProblemType.UNSPECIFIED, "bogus output dict 3")
    [all...]
saved_model_export_utils.py 92 problem_type: an instance of constants.ProblemType, specifying
147 return ((problem_type == constants.ProblemType.CLASSIFICATION or
148 problem_type == constants.ProblemType.LOGISTIC_REGRESSION) and
155 return (problem_type == constants.ProblemType.LINEAR_REGRESSION and
217 default_problem_type = constants.ProblemType.UNSPECIFIED
    [all...]
  /external/tensorflow/tensorflow/contrib/layers/python/layers/
target_column.py 127 class ProblemType(object):
269 problem_type=ProblemType.LINEAR_REGRESSION)
299 problem_type=ProblemType.CLASSIFICATION)
  /external/abi-compliance-checker/
abi-compliance-checker.pl     [all...]
  /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
estimator_test.py 42 None: constants.ProblemType.LINEAR_REGRESSION
  /external/tensorflow/tensorflow/contrib/predictor/
testing_common.py 67 output_alternatives = {k: (constants.ProblemType.UNSPECIFIED, {k: v})
  /external/tensorflow/tensorflow/contrib/tensor_forest/client/
random_forest.py 248 constants.ProblemType.UNSPECIFIED, model_ops.predictions)

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