Searched refs:continue_from (Results 1 – 5 of 5) sorted by relevance
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| D | saved_model_utils.py | 35 continue_from=None): argument
37 if continue_from is None:
39 elif _feature_keys.FilteringResults.STATE_TUPLE in continue_from:
42 continue_from[_feature_keys.FilteringResults.STATE_TUPLE])
44 state_values = continue_from
61 def predict_continuation(continue_from, argument
105 times=times, steps=steps, previous_model_output=continue_from)
111 continue_from=continue_from,
170 def filter_continuation(continue_from, signatures, session, features): argument
209 continue_from=continue_from,
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| D | estimators_test.py | 108 continue_from=whole_dataset_evaluation,
120 continue_from=whole_dataset_evaluation,
130 continue_from=first_filtering,
143 continue_from=first_filtering,
175 continue_from=state,
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| /external/tensorflow/tensorflow/contrib/timeseries/examples/ |
| D | multivariate.py | 79 continue_from=current_state, signatures=signatures,
94 continue_from=current_state,
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| D | lstm.py | 268 continue_from=state, signatures=signatures,
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| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| D | state_space_model_test.py | 202 continue_from={
211 continue_from=first_split_filtering,
220 continue_from={
230 continue_from=second_split_filtering,
237 continue_from=combined_filtering,
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