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Searched refs:observation_model (Results 1 – 4 of 4) sorted by relevance

/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
Dkalman_filter_test.py71 observation_model = constant_op.constant(
93 observation_model=observation_model,
98 observation_model=observation_model,
144 observation_model=OBSERVATION_MODEL,
149 observation_model=OBSERVATION_MODEL,
162 self, state, state_var, observation, observation_model, observation_noise, argument
166 state, state_var, observation_model,
171 observation_model=observation_model,
193 observation_model=[[[2.]]],
203 observation_model=[[[2.]]],
[all …]
Dkalman_filter.py77 observation, observation_model, observation_noise): argument
147 observation_model=observation_model,
213 observation, observation_model, argument
243 observation_model, prior_state_var, adjoint_b=True)
258 kalman_gain_transposed, observation_model, adjoint_a=True)
307 def observed_from_state(self, state_mean, state_var, observation_model, argument
332 observation_model,
336 math_ops.matmul(observation_model, state_var),
337 observation_model,
Dstate_space_model.py401 observation_model = self.get_broadcasted_observation_model(current_times)
417 observation_model=observation_model,
463 observation_model = self.get_broadcasted_observation_model(current_times)
468 observation_model=observation_model,
517 observation_model = linalg_ops.eye(
536 observation_model=observation_model,
815 for timestep, observation_model in enumerate(observation_models):
823 observation_mean = numpy.dot(current_state, observation_model[0].T)
Dstate_space_model_test.py68 self.observation_model = numpy.random.normal(
82 return self.observation_model
476 self.observation_model = numpy.random.normal(
488 return self.observation_model