| /external/tensorflow/tensorflow/contrib/learn/python/learn/ |
| experiment_test.py | 211 train_input_fn='train_input',
224 train_input_fn='train_input',
243 train_input_fn='train_input',
256 est, train_input_fn='train_input', eval_input_fn='eval_input')
272 est, train_input_fn='train_input', eval_input_fn='eval_input')
298 est, train_input_fn='train_input', eval_input_fn='eval_input')
329 train_input_fn='train_input',
345 train_input_fn='train_input',
368 train_input_fn='train_input',
380 train_input_fn='train_input'
[all...] |
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| dnn_test.py | 170 self, train_input_fn, eval_input_fn, predict_input_fn, input_dimension,
182 est.train(train_input_fn, steps=num_steps)
211 train_input_fn = numpy_io.numpy_input_fn(
228 train_input_fn=train_input_fn,
244 train_input_fn = pandas_io.pandas_input_fn(
261 train_input_fn=train_input_fn,
311 train_input_fn=_train_input_fn,
333 self, train_input_fn, eval_input_fn, predict_input_fn, input_dimension
[all...] |
| dnn_linear_combined_test.py | 225 self, train_input_fn, eval_input_fn, predict_input_fn, input_dimension,
241 est.train(train_input_fn, steps=num_steps)
270 train_input_fn = numpy_io.numpy_input_fn(
287 train_input_fn=train_input_fn,
303 train_input_fn = pandas_io.pandas_input_fn(
320 train_input_fn=train_input_fn,
370 train_input_fn=_train_input_fn,
488 self, train_input_fn, eval_input_fn, predict_input_fn, input_dimension
[all...] |
| baseline_test.py | 306 def _test_complete_flow(self, train_input_fn, eval_input_fn, predict_input_fn,
317 est.train(train_input_fn, steps=200)
346 train_input_fn = numpy_io.numpy_input_fn(
366 train_input_fn=train_input_fn,
387 train_input_fn = pandas_io.pandas_input_fn(
395 train_input_fn=train_input_fn,
452 train_input_fn=_train_input_fn,
547 train_input_fn = numpy_io.numpy_input_fn
[all...] |
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| structural_ensemble_test.py | 74 train_input_fn = input_pipeline.RandomWindowInputFn(
79 estimator.train(input_fn=train_input_fn, max_steps=1)
81 estimator.train(input_fn=train_input_fn, max_steps=3)
116 train_input_fn = input_pipeline.RandomWindowInputFn(
119 regressor.train(input_fn=train_input_fn, steps=1)
140 train_input_fn = input_pipeline.RandomWindowInputFn(
143 regressor.train(input_fn=train_input_fn, steps=1)
|
| /external/tensorflow/tensorflow/examples/learn/ |
| boston.py | 49 train_input_fn = tf.estimator.inputs.numpy_input_fn(
51 regressor.train(input_fn=train_input_fn, steps=2000)
|
| iris_run_config.py | 50 train_input_fn = tf.estimator.inputs.numpy_input_fn(
52 classifier.train(input_fn=train_input_fn, steps=200)
|
| mnist.py | 102 train_input_fn = tf.estimator.inputs.numpy_input_fn(
121 classifier.train(input_fn=train_input_fn, steps=200)
127 classifier.train(input_fn=train_input_fn, steps=200)
|
| hdf5_classification.py | 60 train_input_fn = tf.estimator.inputs.numpy_input_fn(
62 classifier.train(input_fn=train_input_fn, steps=200)
|
| iris.py | 104 train_input_fn = input_fn(IRIS_TRAINING, num_training_data, batch_size=32,
106 classifier.train(input_fn=train_input_fn, steps=400)
|
| iris_custom_decay_dnn.py | 79 train_input_fn = tf.estimator.inputs.numpy_input_fn(
81 classifier.train(input_fn=train_input_fn, steps=1000)
|
| iris_custom_model.py | 76 train_input_fn = tf.estimator.inputs.numpy_input_fn(
78 classifier.train(input_fn=train_input_fn, steps=1000)
|
| multiple_gpu.py | 95 train_input_fn = tf.estimator.inputs.numpy_input_fn(
97 classifier.train(input_fn=train_input_fn, steps=100)
|
| /external/tensorflow/tensorflow/contrib/gan/python/estimator/python/ |
| gan_estimator_test.py | 190 self, train_input_fn, eval_input_fn, predict_input_fn, prediction_size,
210 est.train(train_input_fn, steps=num_steps)
227 train_input_fn = numpy_io.numpy_input_fn(
244 train_input_fn=train_input_fn,
254 train_input_fn = numpy_io.numpy_input_fn(
271 train_input_fn=train_input_fn,
320 train_input_fn=_train_input_fn,
|
| /external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
| dnn_linear_combined_test.py | 149 self, train_input_fn, eval_input_fn, predict_input_fn, input_dimension,
165 est.train(train_input_fn, steps=num_steps)
194 train_input_fn = numpy_io.numpy_input_fn(
211 train_input_fn=train_input_fn,
|
| dnn_test.py | 86 self, train_input_fn, eval_input_fn, predict_input_fn, input_dimension,
98 est.train(train_input_fn, steps=num_steps)
127 train_input_fn = numpy_io.numpy_input_fn(
144 train_input_fn=train_input_fn,
|
| linear_test.py | 87 self, train_input_fn, eval_input_fn, predict_input_fn, input_dimension,
98 est.train(train_input_fn, steps=num_steps)
127 train_input_fn = numpy_io.numpy_input_fn(
144 train_input_fn=train_input_fn,
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/examples/ |
| binary_mnist.py | 102 train_input_fn = get_input_fn(data.train, FLAGS.batch_size)
107 train_input_fn=train_input_fn,
|
| boston.py | 91 train_input_fn = tf.estimator.inputs.numpy_input_fn(
116 train_input_fn=train_input_fn,
|
| boston_combined.py | 83 train_input_fn = tf.estimator.inputs.numpy_input_fn(
102 train_input_fn=train_input_fn,
|
| mnist.py | 104 train_input_fn = get_input_fn(data.train, FLAGS.batch_size)
109 train_input_fn=train_input_fn,
|
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| estimators_test.py | 57 train_input_fn = input_pipeline.RandomWindowInputFn(
63 first_estimator.train(input_fn=train_input_fn, steps=5)
66 first_estimator.train(input_fn=train_input_fn, steps=50)
71 second_estimator.train(input_fn=train_input_fn, steps=2)
|
| /external/tensorflow/tensorflow/contrib/timeseries/examples/ |
| known_anomaly.py | 84 train_input_fn = tf.contrib.timeseries.RandomWindowInputFn(
89 estimator.train(input_fn=train_input_fn, steps=train_steps)
|
| multivariate.py | 56 train_input_fn = tf.contrib.timeseries.RandomWindowInputFn(
59 estimator.train(input_fn=train_input_fn, steps=training_steps)
|
| predict.py | 72 train_input_fn = tf.contrib.timeseries.RandomWindowInputFn(
75 estimator.train(input_fn=train_input_fn, steps=training_steps)
|
