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Searched refs:observation_noise (Results 1 – 3 of 3) sorted by relevance

/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
Dkalman_filter.py77 observation, observation_model, observation_noise): argument
150 observation_noise=observation_noise)
215 observation_noise): argument
268 observation_noise = ops.convert_to_tensor(observation_noise)
286 kalman_gain_transposed, observation_noise, adjoint_a=True),
291 kalman_gain_transposed, observation_noise, adj_x=True),
293 if observation_noise.get_shape().ndims is None:
295 math_ops.equal(array_ops.rank(observation_noise), 2),
301 if observation_noise.get_shape().ndims == 2:
308 observation_noise): argument
[all …]
Dkalman_filter_test.py94 observation_noise=observation_noise_covariance)
100 observation_noise=observation_noise_covariance)
145 observation_noise=OBSERVATION_NOISE)
150 observation_noise=100 * constant_op.constant(
162 self, state, state_var, observation, observation_model, observation_noise, argument
167 observation_noise=observation_noise)
173 observation_noise=observation_noise))
194 observation_noise=[[[0.01]]],
204 observation_noise=[[[1.0]]],
214 observation_noise=OBSERVATION_NOISE,
[all …]
Dstate_space_model.py418 observation_noise=self._observation_noise_covariance)
469 observation_noise=self._observation_noise_covariance))
522 observation_noise = math_utils.transform_to_covariance_matrices(
543 observation_noise + estimated_state_covariance),
544 observation_noise=observation_noise))