Searched refs:training_steps (Results 1 – 6 of 6) sorted by relevance
| /external/tensorflow/tensorflow/contrib/timeseries/examples/ |
| D | predict.py | 55 return train_and_predict(structural, csv_file_name, training_steps=150)
69 return train_and_predict(ar, csv_file_name, training_steps=600)
72 def train_and_predict(estimator, csv_file_name, training_steps): argument
80 estimator.train(input_fn=train_input_fn, steps=training_steps)
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| D | multivariate.py | 48 csv_file_name=_DATA_FILE, export_directory=None, training_steps=500): argument
59 estimator.train(input_fn=train_input_fn, steps=training_steps)
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| D | multivariate_test.py | 30 export_directory=self.get_temp_dir(), training_steps=5)
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| D | lstm_test.py | 39 training_steps=2, estimator_config=_SeedRunConfig(),
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| D | lstm.py | 188 csv_file_name=_DATA_FILE, training_steps=200, estimator_config=None, argument
219 estimator.train(input_fn=train_input_fn, steps=training_steps)
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| /external/tensorflow/tensorflow/tools/docker/notebooks/ |
| D | 2_getting_started.ipynb | 165 "training_steps = 50\n",
182 " for _ in range(training_steps):\n",
199 "ax2.plot(range(0, training_steps), losses)\n",
591 "training_steps = 50\n",
635 " for _ in range(training_steps):\n",
655 "ax2.plot(range(0, training_steps), losses)\n",
768 " for _ in range(training_steps):\n",
787 "ax2.plot(range(0, training_steps), losses)\n",
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