/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)
|