LostTech.TensorFlow : API Documentation

Type KalmanFilter

Namespace tensorflow.contrib.timeseries.state_space_models.kalman_filter

Parent PythonObjectContainer

Interfaces IKalmanFilter

Methods

Properties

Public instance methods

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IEnumerable<object> observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IGraphNodeBase observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IGraphNodeBase observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IEnumerable<object> observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IEnumerable<object> observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IGraphNodeBase observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IGraphNodeBase observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IEnumerable<object> observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IEnumerable<object> observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IGraphNodeBase observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IGraphNodeBase observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IEnumerable<object> observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IEnumerable<object> observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IGraphNodeBase observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IEnumerable<object> observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IEnumerable<object> observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(PythonClassContainer estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IGraphNodeBase observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IGraphNodeBase observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IEnumerable<object> observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IGraphNodeBase observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IGraphNodeBase observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IEnumerable<object> observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IEnumerable<object> observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IGraphNodeBase observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IGraphNodeBase observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IEnumerable<IGraphNodeBase> estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IGraphNodeBase observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IEnumerable<object> observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IGraphNodeBase observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IGraphNodeBase observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IEnumerable<object> observation_model, IEnumerable<object> observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, PythonClassContainer observation, IEnumerable<object> observation_model, IGraphNodeBase observation_noise)

ValueTuple<object, object, object> do_filter(IGraphNodeBase estimated_state, IGraphNodeBase estimated_state_covariance, IGraphNodeBase predicted_observation, IGraphNodeBase predicted_observation_covariance, IGraphNodeBase observation, IEnumerable<object> observation_model, IEnumerable<object> observation_noise)

object do_filter_dyn(object estimated_state, object estimated_state_covariance, object predicted_observation, object predicted_observation_covariance, object observation, object observation_model, object observation_noise)

ValueTuple<Tensor, object> observed_from_state(IGraphNodeBase state_mean, IGraphNodeBase state_var, IEnumerable<object> observation_model, IGraphNodeBase observation_noise)

ValueTuple<Tensor, object> observed_from_state(IGraphNodeBase state_mean, IGraphNodeBase state_var, IGraphNodeBase observation_model, IGraphNodeBase observation_noise)

ValueTuple<Tensor, object> observed_from_state(IGraphNodeBase state_mean, IGraphNodeBase state_var, IGraphNodeBase observation_model, IEnumerable<object> observation_noise)

ValueTuple<Tensor, object> observed_from_state(IGraphNodeBase state_mean, IGraphNodeBase state_var, IEnumerable<object> observation_model, IEnumerable<object> observation_noise)

object observed_from_state_dyn(object state_mean, object state_var, object observation_model, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IEnumerable<object> prior_state_var, IEnumerable<IGraphNodeBase> observation, IEnumerable<object> observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IGraphNodeBase prior_state_var, IGraphNodeBase observation, IGraphNodeBase observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IGraphNodeBase prior_state_var, IGraphNodeBase observation, IGraphNodeBase observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IGraphNodeBase prior_state_var, IGraphNodeBase observation, IEnumerable<object> observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IGraphNodeBase prior_state_var, IGraphNodeBase observation, IEnumerable<object> observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IGraphNodeBase prior_state_var, IEnumerable<IGraphNodeBase> observation, IGraphNodeBase observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IGraphNodeBase prior_state_var, IEnumerable<IGraphNodeBase> observation, IGraphNodeBase observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IGraphNodeBase prior_state_var, IEnumerable<IGraphNodeBase> observation, IEnumerable<object> observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IGraphNodeBase prior_state_var, IEnumerable<IGraphNodeBase> observation, IEnumerable<object> observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IEnumerable<object> prior_state_var, IEnumerable<IGraphNodeBase> observation, IEnumerable<object> observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, ValueTuple<IEnumerable<object>, object> prior_state_var, IGraphNodeBase observation, IGraphNodeBase observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, ValueTuple<IEnumerable<object>, object> prior_state_var, IGraphNodeBase observation, IEnumerable<object> observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, ValueTuple<IEnumerable<object>, object> prior_state_var, IGraphNodeBase observation, IGraphNodeBase observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, ValueTuple<IEnumerable<object>, object> prior_state_var, IEnumerable<IGraphNodeBase> observation, IGraphNodeBase observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, ValueTuple<IEnumerable<object>, object> prior_state_var, IEnumerable<IGraphNodeBase> observation, IGraphNodeBase observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, ValueTuple<IEnumerable<object>, object> prior_state_var, IEnumerable<IGraphNodeBase> observation, IEnumerable<object> observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, ValueTuple<IEnumerable<object>, object> prior_state_var, IEnumerable<IGraphNodeBase> observation, IEnumerable<object> observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IEnumerable<object> prior_state_var, IGraphNodeBase observation, IGraphNodeBase observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IEnumerable<object> prior_state_var, IGraphNodeBase observation, IGraphNodeBase observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IEnumerable<object> prior_state_var, IGraphNodeBase observation, IEnumerable<object> observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IEnumerable<object> prior_state_var, IGraphNodeBase observation, IEnumerable<object> observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IEnumerable<object> prior_state_var, IEnumerable<IGraphNodeBase> observation, IGraphNodeBase observation_model, object predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, IEnumerable<object> prior_state_var, IEnumerable<IGraphNodeBase> observation, IGraphNodeBase observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

ValueTuple<object, object> posterior_from_prior_state(IGraphNodeBase prior_state, ValueTuple<IEnumerable<object>, object> prior_state_var, IGraphNodeBase observation, IEnumerable<object> observation_model, ValueTuple<IGraphNodeBase, object> predicted_observations, object observation_noise)

object posterior_from_prior_state_dyn(object prior_state, object prior_state_var, object observation, object observation_model, object predicted_observations, object observation_noise)

Tensor predict_state_mean(IGraphNodeBase prior_state, IGraphNodeBase transition_matrices)

object predict_state_mean_dyn(object prior_state, object transition_matrices)

object predict_state_var(IGraphNodeBase prior_state_var, IGraphNodeBase transition_matrices, IGraphNodeBase transition_noise_sums)

object predict_state_var_dyn(object prior_state_var, object transition_matrices, object transition_noise_sums)

Public properties

DType dtype get; set;

object PythonObject get;