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Searched
refs:CLASSIFICATION
(Results
1 - 13
of
13
) sorted by null
/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
,
[
all
...]
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
,
[
all
...]
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
`
[
all
...]
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
,
[
all
...]
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.""
[
all
...]
/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
[
all
...]
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
[
all
...]
/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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