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  /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
constants.py 27 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 126 for models that use them), `problem_type` is a `ProblemType`,
253 if problem_type == constants.ProblemType.LINEAR_REGRESSION:
256 if (problem_type == constants.ProblemType.CLASSIFICATION or
257 problem_type == constants.ProblemType.LOGISTIC_REGRESSION):
261 if problem_type == constants.ProblemType.UNSPECIFIED:
dynamic_rnn_estimator.py 280 problem_type: Either `ProblemType.CLASSIFICATION` or
281 `ProblemType.LINEAR_REGRESSION`.
292 if problem_type == constants.ProblemType.CLASSIFICATION
405 `problem_type == ProblemType.CLASSIFICATION` and
409 `problem_type == ProblemType.LINEAR_REGRESSION`, the output alternative
417 problem_type: `ProblemType.CLASSIFICATION` or
418 `ProblemType.LINEAR_REGRESSION`.
432 `ProblemType.CLASSIFICATION`.
455 `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,
393 problem_type=constants.ProblemType.CLASSIFICATION,
449 problem_type=constants.ProblemType.CLASSIFICATION,
546 problem_type=constants.ProblemType.LINEAR_REGRESSION
    [all...]
rnn_common.py 145 problem_type: `ProblemType.CLASSIFICATION` or
146 `ProblemType.LINEAR_REGRESSION`.
159 if problem_type == constants.ProblemType.CLASSIFICATION:
172 elif problem_type == constants.ProblemType.LINEAR_REGRESSION:
254 `problem_type` `ProblemType.CLASSIFICATION` or
256 `ProblemType.LINEAR_REGRESSION`.
271 problem_type: Either `ProblemType.CLASSIFICATION` or
272 `ProblemType.LINEAR_REGRESSION`.
302 if problem_type == constants.ProblemType.CLASSIFICATION
state_saving_rnn_estimator.py 409 problem_type: `ProblemType.CLASSIFICATION` or
410 `ProblemType.LINEAR_REGRESSION`.
433 Must only be used with `ProblemType.CLASSIFICATION`.
447 `ProblemType.LINEAR_REGRESSION`
448 or `ProblemType.CLASSIFICATION`.
450 than `ProblemType.CLASSIFICATION`.
453 if problem_type not in (constants.ProblemType.CLASSIFICATION,
454 constants.ProblemType.LINEAR_REGRESSION):
456 'problem_type must be ProblemType.LINEAR_REGRESSION or '
457 'ProblemType.CLASSIFICATION; got {}'
    [all...]
state_saving_rnn_estimator_test.py 346 problem_type=constants.ProblemType.CLASSIFICATION,
416 constants.ProblemType.CLASSIFICATION,
498 constants.ProblemType.LINEAR_REGRESSION,
555 constants.ProblemType.CLASSIFICATION,
638 constants.ProblemType.CLASSIFICATION,
logistic_regressor.py 69 '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 219 problem_type = ProblemType.CLASSIFICATION # or REGRESSION
301 from tensorflow.contrib.learn.python.learn.estimators.constants import ProblemType
head.py 550 'problem_type' is a `ProblemType`,
718 problem_type=constants.ProblemType.LINEAR_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 98 problem_type: an instance of constants.ProblemType, specifying
153 return ((problem_type == constants.ProblemType.CLASSIFICATION or
154 problem_type == constants.ProblemType.LOGISTIC_REGRESSION) and
161 return (problem_type == constants.ProblemType.LINEAR_REGRESSION and
225 default_problem_type = constants.ProblemType.UNSPECIFIED
    [all...]
  /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/
estimator_utils.py 55 output[key] = (constants.ProblemType.CLASSIFICATION,
  /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/layers/python/layers/
target_column.py 128 class ProblemType(object):
272 problem_type=ProblemType.LINEAR_REGRESSION)
302 problem_type=ProblemType.CLASSIFICATION)
  /external/tensorflow/tensorflow/contrib/tensor_forest/client/
random_forest.py 289 constants.ProblemType.UNSPECIFIED, model_ops.predictions)

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