Searched refs:input_window_size (Results 1 – 7 of 7) sorted by relevance
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| D | ar_model.py | 56 input_window_size, argument
138 input_window_size, argument
236 input_window_size, argument
283 self.input_window_size = input_window_size
285 self.window_size = self.input_window_size + self.output_window_size
304 assert len(self._periodicities) or self.input_window_size
317 input_window_size=self.input_window_size,
324 return (array_ops.zeros([self.input_window_size], dtype=dtypes.int64),
326 [self.input_window_size, self.num_features], dtype=self.dtype),
328 [self.input_window_size, self.exogenous_size],
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| D | ar_model_test.py | 87 def train_helper(self, input_window_size, loss, argument
104 window_size = input_window_size + output_window_size
119 input_window_size=input_window_size,
153 [train_data_times[input_window_size:], test_data_times]), 0)
155 [train_data_values[input_window_size:], test_data_values]), 0)
156 state_times = np.expand_dims(train_data_times[:input_window_size], 0)
158 train_data_values[:input_window_size, :], 0)
182 self.train_helper(input_window_size=0,
187 self.train_helper(input_window_size=15,
191 self.train_helper(input_window_size=8,
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| D | estimators.py | 300 self, periodicities, input_window_size, output_window_size, argument
362 input_window_size=input_window_size,
371 input_window_size=input_window_size,
476 input_window_size, argument
528 input_window_size=input_window_size,
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| D | estimators_test.py | 188 periodicities=10, input_window_size=10, output_window_size=6,
200 periodicities=10, input_window_size=10, output_window_size=6,
237 input_window_size=10,
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| D | head_test.py | 354 periodicities=10, input_window_size=10, output_window_size=6,
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| /external/tensorflow/tensorflow/contrib/timeseries/examples/ |
| D | known_anomaly.py | 72 input_window_size = 8
78 input_window_size=input_window_size,
81 64, input_window_size + output_window_size)
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| D | predict.py | 63 periodicities=100, input_window_size=10, output_window_size=6,
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