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  /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
structural_ensemble.py 88 each dimension equal to num_features * (sum(periodicities) +
99 periodicities,
107 periodicities: Number of time steps for cyclic behavior. May be a list, in
134 periodicity_list = nest.flatten(periodicities)
165 equal to `periodicities` (controlling the time over which these values
167 equivalent. MultiResolutionStructuralEnsemble allows `periodicities` to vary
168 while the model size remains fixed. Note that high `periodicities` without a
186 periodicities,
199 `periodicities`.
207 periodicities: Same meaning as for StructuralEnsemble: number of steps fo
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structural_ensemble_test.py 93 "periodicities": 2,
108 periodicities=[],
134 periodicities=None,
  /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/
estimators.py 300 self, periodicities, input_window_size, output_window_size,
308 periodicities: periodicities of the input data, in the same units as the
310 multiple periodicities.
356 periodicities=periodicities, num_features=num_features,
370 periodicities=periodicities,
402 Each periodicity in the `periodicities` arg is divided by the `num_timesteps`
418 For example: if `periodicities` = (9, 12) and `num_timesteps` = 3, then
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ar_model_test.py 113 periodicities=self.period,
223 periodicities=10, num_features=1,
244 model = ar_model.ARModel(periodicities=2,
265 model = ar_model.ARModel(periodicities=2,
286 model = ar_model.ARModel(periodicities=2,
336 model = ar_model.ARModel(periodicities=2,
ar_model.py 194 Each periodicity in the `periodicities` arg is divided by the
211 For example: if `periodicities` = (9, 12) and `num_time_buckets` = 3, then 6
235 periodicities,
246 periodicities: periodicities of the input data, in the same units as the
250 multiple periodicities.
262 ```python model = ar_model.ARModel( periodicities=2, num_features=3,
269 periodicity). This value multiplied by the number of periodicities is
296 if periodicities is None or not periodicities
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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,
214 num_features=1, periodicities=10, model_dir=model_dir, dtype=dtype,
223 num_features=1, periodicities=[], model_dir=self.get_temp_dir(),
236 periodicities=10,
head_test.py 343 periodicities=None,
354 periodicities=10, input_window_size=10, output_window_size=6,
  /external/tensorflow/tensorflow/contrib/timeseries/examples/
known_anomaly.py 58 periodicities=12,
76 periodicities=12,
predict.py 54 periodicities=100, num_features=1, cycle_num_latent_values=5)
63 periodicities=100, input_window_size=10, output_window_size=6,
multivariate.py 51 periodicities=[], num_features=5)

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