| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| D | model.py | 435 def _filtering_step(self, current_times, current_values, state, predictions): argument
455 def _prediction_step(self, current_times, state): argument
470 def _imputation_step(self, current_times, state): argument
487 self, current_times, current_exogenous_regressors, state): argument
551 self, current_times, step_number, state, raw_features, argument
560 current_times=current_times,
576 times=current_times,
618 def _batch_loss_filtering_step(step_number, current_times, state): argument
622 step_number=step_number, current_times=current_times, state=state,
626 current_times=current_times,
[all …]
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| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| D | filtering_postprocessor.py | 40 def process_filtering_step(self, current_times, current_values, argument
68 def cauchy_alternative_to_gaussian(current_times, current_values, outputs): argument
90 del current_times # unused
200 def process_filtering_step(self, current_times, current_values, argument
227 current_times=current_times,
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| D | state_space_model.py | 351 def _imputation_step(self, current_times, state): argument
371 catchup_times = math_ops.maximum(current_times - previous_times, 0)
381 def _filtering_step(self, current_times, current_values, state, predictions): argument
401 observation_model = self.get_broadcasted_observation_model(current_times)
403 math_ops.reduce_all(math_ops.equal(current_times, previous_times)),
419 filtered_state = (filtered_state, filtered_state_covariance, current_times)
420 log_prob.set_shape(current_times.get_shape())
425 current_times=current_times,
439 def _prediction_step(self, current_times, state): argument
460 math_ops.reduce_all(math_ops.less_equal(current_times, previous_times)),
[all …]
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| D | filtering_postprocessor_test.py | 47 current_times=constant_op.constant([1, 2]),
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| D | state_space_model_test.py | 425 current_times=[[1]],
450 current_times=[[1]],
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| /external/tensorflow/tensorflow/contrib/timeseries/examples/ |
| D | lstm.py | 121 def _filtering_step(self, current_times, current_values, state, predictions): argument
144 [tf.assert_equal(current_times, state_from_time)]):
154 new_state_tuple = (current_times, transformed_values,
158 def _prediction_step(self, current_times, state): argument
168 new_state_tuple = (current_times, next_prediction,
172 def _imputation_step(self, current_times, state): argument
180 self, current_times, current_exogenous_regressors, state): argument
|