/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
constants.py | 27 class ProblemType(object):
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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:
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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
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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,
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logistic_regressor.py | 69 'head': (constants.ProblemType.LOGISTIC_REGRESSION, {
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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
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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,
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/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
estimator_test.py | 42 None: constants.ProblemType.LINEAR_REGRESSION
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/external/tensorflow/tensorflow/contrib/predictor/ |
testing_common.py | 67 output_alternatives = {k: (constants.ProblemType.UNSPECIFIED, {k: v})
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/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)
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/external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
random_forest.py | 289 constants.ProblemType.UNSPECIFIED, model_ops.predictions)
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