LostTech.TensorFlow : API Documentation

Type distributions

Namespace tensorflow.contrib.distributions

Methods

Properties

Public static methods

Tensor assign_log_moving_mean_exp(Variable log_mean_exp_var, IGraphNodeBase log_value, double decay, string name)

object assign_log_moving_mean_exp_dyn(object log_mean_exp_var, object log_value, object decay, object name)

object assign_moving_mean_variance(PartitionedVariable mean_var, PartitionedVariable variance_var, IGraphNodeBase value, IGraphNodeBase decay, string name)

object assign_moving_mean_variance(PartitionedVariable mean_var, PartitionedVariable variance_var, IGraphNodeBase value, double decay, string name)

object assign_moving_mean_variance(PartitionedVariable mean_var, Variable variance_var, IGraphNodeBase value, IGraphNodeBase decay, string name)

object assign_moving_mean_variance(PartitionedVariable mean_var, Variable variance_var, IGraphNodeBase value, double decay, string name)

object assign_moving_mean_variance(Variable mean_var, PartitionedVariable variance_var, IGraphNodeBase value, IGraphNodeBase decay, string name)

object assign_moving_mean_variance(Variable mean_var, PartitionedVariable variance_var, IGraphNodeBase value, double decay, string name)

object assign_moving_mean_variance(Variable mean_var, Variable variance_var, IGraphNodeBase value, IGraphNodeBase decay, string name)

object assign_moving_mean_variance(Variable mean_var, Variable variance_var, IGraphNodeBase value, double decay, string name)

object assign_moving_mean_variance_dyn(object mean_var, object variance_var, object value, object decay, object name)

Tensor auto_correlation(IGraphNodeBase x, int axis, Nullable<int> max_lags, bool center, bool normalize, string name)

object auto_correlation_dyn(object x, ImplicitContainer<T> axis, object max_lags, ImplicitContainer<T> center, ImplicitContainer<T> normalize, ImplicitContainer<T> name)

_DistributionRegressionHead estimator_head_distribution_regression(PythonFunctionContainer make_distribution_fn, int label_dimension, Nullable<int> logits_dimension, object label_name, object weight_column_name, bool enable_centered_bias, object head_name)

object estimator_head_distribution_regression_dyn(object make_distribution_fn, ImplicitContainer<T> label_dimension, object logits_dimension, object label_name, object weight_column_name, ImplicitContainer<T> enable_centered_bias, object head_name)

object moving_mean_variance(IGraphNodeBase value, double decay, object collections, string name)

object moving_mean_variance_dyn(object value, object decay, object collections, object name)

Normal normal_conjugates_known_scale_posterior(Normal prior, IGraphNodeBase scale, IGraphNodeBase s, IGraphNodeBase n)

object normal_conjugates_known_scale_posterior_dyn(object prior, object scale, object s, object n)

Normal normal_conjugates_known_scale_predictive(Normal prior, IGraphNodeBase scale, IGraphNodeBase s, IGraphNodeBase n)

object normal_conjugates_known_scale_predictive_dyn(object prior, object scale, object s, object n)

Tensor percentile(IEnumerable<double> x, double q, IEnumerable<int> axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IEnumerable<double> x, double q, int axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IEnumerable<double> x, IEnumerable<double> q, IEnumerable<int> axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IEnumerable<double> x, IEnumerable<double> q, int axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IEnumerable<double> x, int q, IEnumerable<int> axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IEnumerable<double> x, int q, int axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IGraphNodeBase x, double q, IEnumerable<int> axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IEnumerable<double> x, IGraphNodeBase q, int axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IGraphNodeBase x, double q, int axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IGraphNodeBase x, IEnumerable<double> q, IEnumerable<int> axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IGraphNodeBase x, IEnumerable<double> q, int axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IGraphNodeBase x, int q, IEnumerable<int> axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IGraphNodeBase x, int q, int axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IGraphNodeBase x, IGraphNodeBase q, IEnumerable<int> axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IGraphNodeBase x, IGraphNodeBase q, int axis, string interpolation, bool keep_dims, bool validate_args, string name)

Tensor percentile(IEnumerable<double> x, IGraphNodeBase q, IEnumerable<int> axis, string interpolation, bool keep_dims, bool validate_args, string name)

object percentile_dyn(object x, object q, object axis, object interpolation, ImplicitContainer<T> keep_dims, ImplicitContainer<T> validate_args, object name)

ValueTuple<object, Tensor> quadrature_scheme_lognormal_gauss_hermite(object loc, object scale, object quadrature_size, bool validate_args, string name)

object quadrature_scheme_lognormal_gauss_hermite_dyn(object loc, object scale, object quadrature_size, ImplicitContainer<T> validate_args, object name)

ValueTuple<object, Tensor> quadrature_scheme_lognormal_quantiles(IGraphNodeBase loc, IGraphNodeBase scale, int quadrature_size, bool validate_args, string name)

object quadrature_scheme_lognormal_quantiles_dyn(object loc, object scale, object quadrature_size, ImplicitContainer<T> validate_args, object name)

ValueTuple<Tensor, object> quadrature_scheme_softmaxnormal_gauss_hermite(object normal_loc, object normal_scale, object quadrature_size, bool validate_args, string name)

object quadrature_scheme_softmaxnormal_gauss_hermite_dyn(object normal_loc, object normal_scale, object quadrature_size, ImplicitContainer<T> validate_args, object name)

ValueTuple<object, Tensor> quadrature_scheme_softmaxnormal_quantiles(IGraphNodeBase normal_loc, IGraphNodeBase normal_scale, int quadrature_size, bool validate_args, string name)

object quadrature_scheme_softmaxnormal_quantiles_dyn(object normal_loc, object normal_scale, object quadrature_size, ImplicitContainer<T> validate_args, object name)

Public properties

PythonFunctionContainer _BaseDeterministic_fn get;

PythonFunctionContainer _DistributionRegressionHead_fn get;

PythonFunctionContainer _WishartLinearOperator_fn get;

PythonFunctionContainer assign_log_moving_mean_exp_fn get;

PythonFunctionContainer assign_moving_mean_variance_fn get;

PythonFunctionContainer auto_correlation_fn get;

PythonFunctionContainer Autoregressive_fn get;

PythonFunctionContainer BatchReshape_fn get;

PythonFunctionContainer Binomial_fn get;

PythonFunctionContainer Cauchy_fn get;

PythonFunctionContainer Chi2WithAbsDf_fn get;

PythonFunctionContainer ConditionalDistribution_fn get;

PythonFunctionContainer ConditionalTransformedDistribution_fn get;

PythonFunctionContainer Deterministic_fn get;

PythonFunctionContainer DiscreteScalarDistributionTestHelpers_fn get;

PythonFunctionContainer estimator_head_distribution_regression_fn get;

PythonFunctionContainer ExpRelaxedOneHotCategorical_fn get;

PythonFunctionContainer Geometric_fn get;

PythonFunctionContainer HalfNormal_fn get;

PythonFunctionContainer Independent_fn get;

PythonFunctionContainer InverseGamma_fn get;

PythonFunctionContainer InverseGammaWithSoftplusConcentrationRate_fn get;

PythonFunctionContainer Kumaraswamy_fn get;

PythonFunctionContainer Logistic_fn get;

PythonFunctionContainer Mixture_fn get;

PythonFunctionContainer MixtureSameFamily_fn get;

PythonFunctionContainer moving_mean_variance_fn get;

PythonFunctionContainer MultivariateNormalDiag_fn get;

PythonFunctionContainer MultivariateNormalDiagPlusLowRank_fn get;

PythonFunctionContainer MultivariateNormalDiagWithSoftplusScale_fn get;

PythonFunctionContainer MultivariateNormalFullCovariance_fn get;

PythonFunctionContainer MultivariateNormalTriL_fn get;

PythonFunctionContainer NegativeBinomial_fn get;

PythonFunctionContainer normal_conjugates_known_scale_posterior_fn get;

PythonFunctionContainer normal_conjugates_known_scale_predictive_fn get;

PythonFunctionContainer OneHotCategorical_fn get;

PythonFunctionContainer percentile_fn get;

PythonFunctionContainer Poisson_fn get;

PythonFunctionContainer PoissonLogNormalQuadratureCompound_fn get;

PythonFunctionContainer quadrature_scheme_lognormal_gauss_hermite_fn get;

PythonFunctionContainer quadrature_scheme_lognormal_quantiles_fn get;

PythonFunctionContainer quadrature_scheme_softmaxnormal_gauss_hermite_fn get;

PythonFunctionContainer quadrature_scheme_softmaxnormal_quantiles_fn get;

PythonFunctionContainer QuantizedDistribution_fn get;

PythonFunctionContainer RelaxedBernoulli_fn get;

PythonFunctionContainer RelaxedOneHotCategorical_fn get;

PythonFunctionContainer SeedStream_fn get;

PythonFunctionContainer SinhArcsinh_fn get;

PythonFunctionContainer VectorDeterministic_fn get;

PythonFunctionContainer VectorDiffeomixture_fn get;

PythonFunctionContainer VectorDistributionTestHelpers_fn get;

PythonFunctionContainer VectorExponentialDiag_fn get;

PythonFunctionContainer VectorLaplaceDiag_fn get;

PythonFunctionContainer VectorSinhArcsinhDiag_fn get;

PythonFunctionContainer WishartCholesky_fn get;

PythonFunctionContainer WishartFull_fn get;