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Searched
refs:periodicities
(Results
1 - 10
of
10
) sorted by null
/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
[
all
...]
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
[
all
...]
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
[
all
...]
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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