LostTech.TensorFlow : API Documentation

Type math_utils

Namespace tensorflow.contrib.timeseries.math_utils

Methods

Properties

Public static methods

object batch_end_time(IGraphNodeBase times)

object batch_end_time_dyn(object times)

Tensor batch_matrix_pow(IGraphNodeBase matrices, IGraphNodeBase powers)

Tensor batch_matrix_pow(IGraphNodeBase matrices, IEnumerable<int> powers)

Tensor batch_matrix_pow(IGraphNodeBase matrices, ValueTuple<PythonClassContainer, PythonClassContainer> powers)

Tensor batch_matrix_pow(IGraphNodeBase matrices, IndexedSlices powers)

object batch_matrix_pow_dyn(object matrices, object powers)

object batch_start_time(IGraphNodeBase times)

object batch_start_time_dyn(object times)

Tensor batch_times_matrix(IGraphNodeBase batch, IEnumerable<object> matrix, bool adj_x, bool adj_y)

Tensor batch_times_matrix(IGraphNodeBase batch, IGraphNodeBase matrix, bool adj_x, bool adj_y)

object batch_times_matrix_dyn(object batch, object matrix, ImplicitContainer<T> adj_x, ImplicitContainer<T> adj_y)

Tensor block_diagonal(IEnumerable<object> matrices, ImplicitContainer<T> dtype, string name)

object block_diagonal_dyn(object matrices, ImplicitContainer<T> dtype, ImplicitContainer<T> name)

object cauchy_log_prob(IGraphNodeBase loc, object scale, object x)

object cauchy_log_prob_dyn(object loc, object scale, object x)

Tensor clip_covariance(IEnumerable<IGraphNodeBase> covariance_matrix, object maximum_variance_ratio, object minimum_variance)

Tensor clip_covariance(IGraphNodeBase covariance_matrix, object maximum_variance_ratio, object minimum_variance)

object clip_covariance_dyn(object covariance_matrix, object maximum_variance_ratio, object minimum_variance)

object entropy_matched_cauchy_scale(object covariance)

object entropy_matched_cauchy_scale_dyn(object covariance)

object log_noninformative_covariance_prior(object covariance)

object log_noninformative_covariance_prior_dyn(object covariance)

Tensor make_toeplitz_matrix(ndarray inputs, string name)

object make_toeplitz_matrix_dyn(object inputs, object name)

Tensor matrix_times_batch(object matrix, object batch, bool adj_x, bool adj_y)

object matrix_times_batch_dyn(object matrix, object batch, ImplicitContainer<T> adj_x, ImplicitContainer<T> adj_y)

Tensor matrix_to_powers(IEnumerable<object> matrix, ValueTuple<PythonClassContainer, PythonClassContainer> powers)

Tensor matrix_to_powers(IGraphNodeBase matrix, IGraphNodeBase powers)

Tensor matrix_to_powers(IEnumerable<object> matrix, IndexedSlices powers)

Tensor matrix_to_powers(IGraphNodeBase matrix, IEnumerable<int> powers)

Tensor matrix_to_powers(IGraphNodeBase matrix, ValueTuple<PythonClassContainer, PythonClassContainer> powers)

Tensor matrix_to_powers(IEnumerable<object> matrix, IEnumerable<int> powers)

Tensor matrix_to_powers(IEnumerable<object> matrix, IGraphNodeBase powers)

Tensor matrix_to_powers(IGraphNodeBase matrix, IndexedSlices powers)

object matrix_to_powers_dyn(object matrix, object powers)

object mvn_tril_log_prob(IGraphNodeBase loc, IGraphNodeBase scale_tril, IGraphNodeBase x)

object mvn_tril_log_prob_dyn(object loc, object scale_tril, object x)

object normal_log_prob(IGraphNodeBase loc, IGraphNodeBase scale, object x)

object normal_log_prob_dyn(object loc, object scale, object x)

Tensor power_sums_tensor(ValueTuple<PythonClassContainer, PythonClassContainer> array_size, IGraphNodeBase power_matrix, IGraphNodeBase multiplier)

Tensor power_sums_tensor(IndexedSlices array_size, IEnumerable<object> power_matrix, IGraphNodeBase multiplier)

Tensor power_sums_tensor(IndexedSlices array_size, IGraphNodeBase power_matrix, IGraphNodeBase multiplier)

Tensor power_sums_tensor(int array_size, IEnumerable<object> power_matrix, IGraphNodeBase multiplier)

Tensor power_sums_tensor(int array_size, IGraphNodeBase power_matrix, IGraphNodeBase multiplier)

Tensor power_sums_tensor(IGraphNodeBase array_size, IEnumerable<object> power_matrix, IGraphNodeBase multiplier)

Tensor power_sums_tensor(IGraphNodeBase array_size, IGraphNodeBase power_matrix, IGraphNodeBase multiplier)

Tensor power_sums_tensor(ValueTuple<PythonClassContainer, PythonClassContainer> array_size, IEnumerable<object> power_matrix, IGraphNodeBase multiplier)

object power_sums_tensor_dyn(object array_size, object power_matrix, object multiplier)

object replicate_state(IEnumerable<object> start_state, object batch_size)

object replicate_state(object start_state, object batch_size)

Tensor sign_magnitude_positive_definite(ndarray raw, IGraphNodeBase off_diagonal_scale, IGraphNodeBase overall_scale)

Tensor sign_magnitude_positive_definite(IGraphNodeBase raw, double off_diagonal_scale, IGraphNodeBase overall_scale)

Tensor sign_magnitude_positive_definite(ndarray raw, IGraphNodeBase off_diagonal_scale, double overall_scale)

Tensor sign_magnitude_positive_definite(IGraphNodeBase raw, IGraphNodeBase off_diagonal_scale, IGraphNodeBase overall_scale)

Tensor sign_magnitude_positive_definite(ndarray raw, double off_diagonal_scale, IGraphNodeBase overall_scale)

Tensor sign_magnitude_positive_definite(IGraphNodeBase raw, IGraphNodeBase off_diagonal_scale, double overall_scale)

Tensor sign_magnitude_positive_definite(ndarray raw, double off_diagonal_scale, double overall_scale)

Tensor sign_magnitude_positive_definite(IGraphNodeBase raw, double off_diagonal_scale, double overall_scale)

object sign_magnitude_positive_definite_dyn(object raw, ImplicitContainer<T> off_diagonal_scale, ImplicitContainer<T> overall_scale)

Tensor transform_to_covariance_matrices(IGraphNodeBase input_vectors, TensorShape matrix_size)

Tensor transform_to_covariance_matrices(IEnumerable<object> input_vectors, TensorShape matrix_size)

Tensor transform_to_covariance_matrices(IEnumerable<object> input_vectors, int matrix_size)

Tensor transform_to_covariance_matrices(IGraphNodeBase input_vectors, Dimension matrix_size)

Tensor transform_to_covariance_matrices(IEnumerable<object> input_vectors, Dimension matrix_size)

Tensor transform_to_covariance_matrices(IGraphNodeBase input_vectors, int matrix_size)

object transform_to_covariance_matrices_dyn(object input_vectors, object matrix_size)

Tensor variable_covariance_matrix(int size, string name, DType dtype, IGraphNodeBase initial_diagonal_values, IGraphNodeBase initial_overall_scale_log)

Tensor variable_covariance_matrix(int size, string name, DType dtype, IGraphNodeBase initial_diagonal_values, double initial_overall_scale_log)

Tensor variable_covariance_matrix(TensorShape size, string name, DType dtype, IGraphNodeBase initial_diagonal_values, IGraphNodeBase initial_overall_scale_log)

Tensor variable_covariance_matrix(TensorShape size, string name, DType dtype, IGraphNodeBase initial_diagonal_values, double initial_overall_scale_log)

Tensor variable_covariance_matrix(Dimension size, string name, DType dtype, IGraphNodeBase initial_diagonal_values, IGraphNodeBase initial_overall_scale_log)

Tensor variable_covariance_matrix(Dimension size, string name, DType dtype, IGraphNodeBase initial_diagonal_values, double initial_overall_scale_log)

object variable_covariance_matrix_dyn(object size, object name, object dtype, object initial_diagonal_values, ImplicitContainer<T> initial_overall_scale_log)

Public properties

PythonFunctionContainer batch_end_time_fn get;

PythonFunctionContainer batch_matrix_pow_fn get;

PythonFunctionContainer batch_start_time_fn get;

PythonFunctionContainer batch_times_matrix_fn get;

PythonFunctionContainer block_diagonal_fn get;

PythonFunctionContainer cauchy_log_prob_fn get;

PythonFunctionContainer clip_covariance_fn get;

PythonFunctionContainer entropy_matched_cauchy_scale_fn get;

PythonFunctionContainer InputStatistics_fn get;

PythonFunctionContainer InputStatisticsFromMiniBatch_fn get;

PythonFunctionContainer log_noninformative_covariance_prior_fn get;

PythonFunctionContainer make_toeplitz_matrix_fn get;

PythonFunctionContainer matrix_times_batch_fn get;

PythonFunctionContainer matrix_to_powers_fn get;

PythonFunctionContainer Moments_fn get;

PythonFunctionContainer mvn_tril_log_prob_fn get;

PythonFunctionContainer normal_log_prob_fn get;

PythonFunctionContainer power_sums_tensor_fn get;

PythonFunctionContainer replicate_state_fn get;

PythonFunctionContainer sign_magnitude_positive_definite_fn get;

PythonFunctionContainer TensorValuedMutableDenseHashTable_fn get;

PythonFunctionContainer transform_to_covariance_matrices_fn get;

PythonFunctionContainer TupleOfTensorsLookup_fn get;

PythonFunctionContainer variable_covariance_matrix_fn get;