Files in rstudio/tfprobability
R interface to TensorFlow Probability

.Rbuildignore
.gitignore
.travis.yml
DESCRIPTION
LICENSE.md
NAMESPACE
R/bijector-methods.R R/bijectors.R R/distribution-layers.R R/distribution-methods.R R/distribution-static-methods.R R/distributions.R R/imports.R R/layers.R R/mcmc-functions.R R/mcmc-kernels.R R/package.R R/reexports.R R/sts-functions.R R/sts.R R/utils.R R/vi-functions.R R/vi-optimization.R README.Rmd README.md
docs/LICENSE.html
docs/articles/dynamic_linear_models.html
docs/articles/hamiltonian_monte_carlo.html
docs/articles/images/capm_filtered.png
docs/articles/images/capm_forecast.png
docs/articles/images/capm_smoothed.png
docs/articles/images/uncertainty.png
docs/articles/images/uncertainty_data.png
docs/articles/index.html
docs/articles/introduction.html
docs/articles/layer_dense_variational.html
docs/articles/tfprobability.html
docs/authors.html
docs/docsearch.css
docs/docsearch.js
docs/index.html
docs/link.svg
docs/pkgdown.css
docs/pkgdown.js
docs/pkgdown.yml
docs/reference/index.html
docs/reference/layer_autoregressive.html
docs/reference/layer_categorical_mixture_of_one_hot_categorical.html
docs/reference/layer_conv_1d_reparameterization.html
docs/reference/layer_dense_flipout.html
docs/reference/layer_dense_local_reparameterization.html
docs/reference/layer_dense_reparameterization.html
docs/reference/layer_dense_variational.html
docs/reference/layer_distribution_lambda.html
docs/reference/layer_independent_bernoulli.html
docs/reference/layer_independent_logistic.html
docs/reference/layer_independent_normal.html
docs/reference/layer_independent_poisson.html
docs/reference/layer_kl_divergence_add_loss.html
docs/reference/layer_kl_divergence_regularizer.html
docs/reference/layer_mixture_logistic.html
docs/reference/layer_mixture_normal.html
docs/reference/layer_mixture_same_family.html
docs/reference/layer_multivariate_normal_tri_l.html
docs/reference/layer_one_hot_categorical.html
docs/reference/layer_variable.html
docs/reference/masked_autoregressive_default_template.html
docs/reference/masked_dense.html
docs/reference/mcmc_effective_sample_size.html
docs/reference/mcmc_hamiltonian_monte_carlo.html
docs/reference/mcmc_metropolis_hastings.html
docs/reference/mcmc_potential_scale_reduction.html
docs/reference/mcmc_random_walk_metropolis.html
docs/reference/mcmc_sample_chain.html
docs/reference/mcmc_simple_step_size_adaptation.html
docs/reference/mcmc_transformed_transition_kernel.html
docs/reference/mcmc_uncalibrated_hamiltonian_monte_carlo.html
docs/reference/params_size_categorical_mixture_of_one_hot_categorical.html
docs/reference/params_size_independent_bernoulli.html
docs/reference/params_size_independent_logistic.html
docs/reference/params_size_independent_normal.html
docs/reference/params_size_independent_poisson.html
docs/reference/params_size_mixture_logistic.html
docs/reference/params_size_mixture_normal.html
docs/reference/params_size_mixture_same_family.html
docs/reference/params_size_multivariate_normal_tri_l.html
docs/reference/params_size_one_hot_categorical.html
docs/reference/real_nvp_default_template.html
docs/reference/reexports.html
docs/reference/sts_additive_state_space_model.html
docs/reference/sts_autoregressive.html
docs/reference/sts_autoregressive_state_space_model.html
docs/reference/sts_build_factored_surrogate_posterior.html
docs/reference/sts_build_factored_variational_loss.html
docs/reference/sts_decompose_by_component.html
docs/reference/sts_dynamic_linear_regression.html
docs/reference/sts_dynamic_linear_regression_state_space_model.html
docs/reference/sts_fit_with_hmc.html
docs/reference/sts_forecast.html
docs/reference/sts_linear_regression.html
docs/reference/sts_local_level.html
docs/reference/sts_local_level_state_space_model.html
docs/reference/sts_local_linear_trend.html
docs/reference/sts_local_linear_trend_state_space_model.html
docs/reference/sts_one_step_predictive.html
docs/reference/sts_seasonal.html
docs/reference/sts_seasonal_state_space_model.html
docs/reference/sts_semi_local_linear_trend.html
docs/reference/sts_semi_local_linear_trend_state_space_model.html
docs/reference/sts_sum.html
docs/reference/tfb_absolute_value.html
docs/reference/tfb_affine.html
docs/reference/tfb_affine_linear_operator.html
docs/reference/tfb_affine_scalar.html
docs/reference/tfb_batch_normalization.html
docs/reference/tfb_blockwise.html
docs/reference/tfb_chain.html
docs/reference/tfb_cholesky_outer_product.html
docs/reference/tfb_cholesky_to_inv_cholesky.html
docs/reference/tfb_correlation_cholesky.html
docs/reference/tfb_discrete_cosine_transform.html
docs/reference/tfb_exp.html
docs/reference/tfb_expm1.html
docs/reference/tfb_fill_triangular.html
docs/reference/tfb_forward.html
docs/reference/tfb_forward_log_det_jacobian.html
docs/reference/tfb_gumbel.html
docs/reference/tfb_identity.html
docs/reference/tfb_inline.html
docs/reference/tfb_inverse.html
docs/reference/tfb_inverse_log_det_jacobian.html
docs/reference/tfb_invert.html
docs/reference/tfb_kumaraswamy.html
docs/reference/tfb_masked_autoregressive_default_template.html
docs/reference/tfb_masked_autoregressive_flow.html
docs/reference/tfb_masked_dense.html
docs/reference/tfb_matrix_inverse_tri_l.html
docs/reference/tfb_matvec_lu.html
docs/reference/tfb_normal_cdf.html
docs/reference/tfb_ordered.html
docs/reference/tfb_permute.html
docs/reference/tfb_power_transform.html
docs/reference/tfb_real_nvp.html
docs/reference/tfb_real_nvp_default_template.html
docs/reference/tfb_reciprocal.html
docs/reference/tfb_reshape.html
docs/reference/tfb_scale_tri_l.html
docs/reference/tfb_sigmoid.html
docs/reference/tfb_sinh_arcsinh.html
docs/reference/tfb_softmax_centered.html
docs/reference/tfb_softplus.html
docs/reference/tfb_softsign.html
docs/reference/tfb_square.html
docs/reference/tfb_tanh.html
docs/reference/tfb_transform_diagonal.html
docs/reference/tfb_transpose.html
docs/reference/tfb_weibull.html
docs/reference/tfd_autoregressive.html
docs/reference/tfd_batch_reshape.html
docs/reference/tfd_bernoulli.html
docs/reference/tfd_beta.html
docs/reference/tfd_binomial.html
docs/reference/tfd_categorical.html
docs/reference/tfd_cauchy.html
docs/reference/tfd_cdf.html
docs/reference/tfd_chi.html
docs/reference/tfd_chi2.html
docs/reference/tfd_covariance.html
docs/reference/tfd_cross_entropy.html
docs/reference/tfd_deterministic.html
docs/reference/tfd_dirichlet.html
docs/reference/tfd_dirichlet_multinomial.html
docs/reference/tfd_empirical.html
docs/reference/tfd_entropy.html
docs/reference/tfd_exponential.html
docs/reference/tfd_gamma.html
docs/reference/tfd_gamma_gamma.html
docs/reference/tfd_gaussian_process.html
docs/reference/tfd_geometric.html
docs/reference/tfd_gumbel.html
docs/reference/tfd_half_cauchy.html
docs/reference/tfd_half_normal.html
docs/reference/tfd_hidden_markov_model.html
docs/reference/tfd_horseshoe.html
docs/reference/tfd_independent.html
docs/reference/tfd_inverse_gamma.html
docs/reference/tfd_inverse_gaussian.html
docs/reference/tfd_joint_distribution_named.html
docs/reference/tfd_joint_distribution_sequential.html
docs/reference/tfd_kl_divergence.html
docs/reference/tfd_kumaraswamy.html
docs/reference/tfd_laplace.html
docs/reference/tfd_linear_gaussian_state_space_model.html
docs/reference/tfd_lkj.html
docs/reference/tfd_log_cdf.html
docs/reference/tfd_log_normal.html
docs/reference/tfd_log_prob.html
docs/reference/tfd_log_survival_function.html
docs/reference/tfd_logistic.html
docs/reference/tfd_mean.html
docs/reference/tfd_mixture.html
docs/reference/tfd_mixture_same_family.html
docs/reference/tfd_mode.html
docs/reference/tfd_multinomial.html
docs/reference/tfd_multivariate_normal_diag.html
docs/reference/tfd_multivariate_normal_diag_plus_low_rank.html
docs/reference/tfd_multivariate_normal_full_covariance.html
docs/reference/tfd_multivariate_normal_linear_operator.html
docs/reference/tfd_multivariate_normal_tri_l.html
docs/reference/tfd_multivariate_student_t_linear_operator.html
docs/reference/tfd_negative_binomial.html
docs/reference/tfd_normal.html
docs/reference/tfd_one_hot_categorical.html
docs/reference/tfd_pareto.html
docs/reference/tfd_poisson.html
docs/reference/tfd_poisson_log_normal_quadrature_compound.html
docs/reference/tfd_prob.html
docs/reference/tfd_quantile.html
docs/reference/tfd_quantized.html
docs/reference/tfd_relaxed_bernoulli.html
docs/reference/tfd_relaxed_one_hot_categorical.html
docs/reference/tfd_sample.html
docs/reference/tfd_sample_distribution.html
docs/reference/tfd_sinh_arcsinh.html
docs/reference/tfd_stddev.html
docs/reference/tfd_student_t.html
docs/reference/tfd_student_t_process.html
docs/reference/tfd_survival_function.html
docs/reference/tfd_transformed.html
docs/reference/tfd_transformed_distribution.html
docs/reference/tfd_triangular.html
docs/reference/tfd_truncated_normal.html
docs/reference/tfd_uniform.html
docs/reference/tfd_variance.html
docs/reference/tfd_variational_gaussian_process.html
docs/reference/tfd_vector_diffeomixture.html
docs/reference/tfd_vector_exponential_diag.html
docs/reference/tfd_vector_exponential_linear_operator.html
docs/reference/tfd_vector_laplace_diag.html
docs/reference/tfd_vector_laplace_linear_operator.html
docs/reference/tfd_vector_sinh_arcsinh_diag.html
docs/reference/tfd_von_mises.html
docs/reference/tfd_von_mises_fisher.html
docs/reference/tfd_wishart.html
docs/reference/tfd_zipf.html
docs/reference/tfp.html
docs/reference/vi_amari_alpha.html
docs/reference/vi_fit_surrogate_posterior.html
docs/reference/vi_kl_forward.html
docs/reference/vi_kl_reverse.html
docs/reference/vi_monte_carlo_variational_loss.html
man/layer_autoregressive.Rd man/layer_categorical_mixture_of_one_hot_categorical.Rd man/layer_conv_1d_reparameterization.Rd man/layer_dense_flipout.Rd man/layer_dense_local_reparameterization.Rd man/layer_dense_reparameterization.Rd man/layer_dense_variational.Rd man/layer_distribution_lambda.Rd man/layer_independent_bernoulli.Rd man/layer_independent_logistic.Rd man/layer_independent_normal.Rd man/layer_independent_poisson.Rd man/layer_kl_divergence_add_loss.Rd man/layer_kl_divergence_regularizer.Rd man/layer_mixture_logistic.Rd man/layer_mixture_normal.Rd man/layer_mixture_same_family.Rd man/layer_multivariate_normal_tri_l.Rd man/layer_one_hot_categorical.Rd man/layer_variable.Rd man/mcmc_effective_sample_size.Rd man/mcmc_hamiltonian_monte_carlo.Rd man/mcmc_metropolis_hastings.Rd man/mcmc_potential_scale_reduction.Rd man/mcmc_random_walk_metropolis.Rd man/mcmc_sample_chain.Rd man/mcmc_simple_step_size_adaptation.Rd man/mcmc_transformed_transition_kernel.Rd man/mcmc_uncalibrated_hamiltonian_monte_carlo.Rd man/params_size_categorical_mixture_of_one_hot_categorical.Rd man/params_size_independent_bernoulli.Rd man/params_size_independent_logistic.Rd man/params_size_independent_normal.Rd man/params_size_independent_poisson.Rd man/params_size_mixture_logistic.Rd man/params_size_mixture_normal.Rd man/params_size_mixture_same_family.Rd man/params_size_multivariate_normal_tri_l.Rd man/params_size_one_hot_categorical.Rd man/reexports.Rd man/sts_additive_state_space_model.Rd man/sts_autoregressive.Rd man/sts_autoregressive_state_space_model.Rd man/sts_build_factored_surrogate_posterior.Rd man/sts_build_factored_variational_loss.Rd man/sts_decompose_by_component.Rd man/sts_dynamic_linear_regression.Rd man/sts_dynamic_linear_regression_state_space_model.Rd man/sts_fit_with_hmc.Rd man/sts_forecast.Rd man/sts_linear_regression.Rd man/sts_local_level.Rd man/sts_local_level_state_space_model.Rd man/sts_local_linear_trend.Rd man/sts_local_linear_trend_state_space_model.Rd man/sts_one_step_predictive.Rd man/sts_seasonal.Rd man/sts_seasonal_state_space_model.Rd man/sts_semi_local_linear_trend.Rd man/sts_semi_local_linear_trend_state_space_model.Rd man/sts_sum.Rd man/tfb_absolute_value.Rd man/tfb_affine.Rd man/tfb_affine_linear_operator.Rd man/tfb_affine_scalar.Rd man/tfb_batch_normalization.Rd man/tfb_blockwise.Rd man/tfb_chain.Rd man/tfb_cholesky_outer_product.Rd man/tfb_cholesky_to_inv_cholesky.Rd man/tfb_correlation_cholesky.Rd man/tfb_discrete_cosine_transform.Rd man/tfb_exp.Rd man/tfb_expm1.Rd man/tfb_fill_triangular.Rd man/tfb_forward.Rd man/tfb_forward_log_det_jacobian.Rd man/tfb_gumbel.Rd man/tfb_identity.Rd man/tfb_inline.Rd man/tfb_inverse.Rd man/tfb_inverse_log_det_jacobian.Rd man/tfb_invert.Rd man/tfb_kumaraswamy.Rd man/tfb_masked_autoregressive_default_template.Rd man/tfb_masked_autoregressive_flow.Rd man/tfb_masked_dense.Rd man/tfb_matrix_inverse_tri_l.Rd man/tfb_matvec_lu.Rd man/tfb_normal_cdf.Rd man/tfb_ordered.Rd man/tfb_permute.Rd man/tfb_power_transform.Rd man/tfb_real_nvp.Rd man/tfb_real_nvp_default_template.Rd man/tfb_reciprocal.Rd man/tfb_reshape.Rd man/tfb_scale_tri_l.Rd man/tfb_sigmoid.Rd man/tfb_sinh_arcsinh.Rd man/tfb_softmax_centered.Rd man/tfb_softplus.Rd man/tfb_softsign.Rd man/tfb_square.Rd man/tfb_tanh.Rd man/tfb_transform_diagonal.Rd man/tfb_transpose.Rd man/tfb_weibull.Rd man/tfd_autoregressive.Rd man/tfd_batch_reshape.Rd man/tfd_bernoulli.Rd man/tfd_beta.Rd man/tfd_binomial.Rd man/tfd_categorical.Rd man/tfd_cauchy.Rd man/tfd_cdf.Rd man/tfd_chi.Rd man/tfd_chi2.Rd man/tfd_covariance.Rd man/tfd_cross_entropy.Rd man/tfd_deterministic.Rd man/tfd_dirichlet.Rd man/tfd_dirichlet_multinomial.Rd man/tfd_empirical.Rd man/tfd_entropy.Rd man/tfd_exponential.Rd man/tfd_gamma.Rd man/tfd_gamma_gamma.Rd man/tfd_gaussian_process.Rd man/tfd_geometric.Rd man/tfd_gumbel.Rd man/tfd_half_cauchy.Rd man/tfd_half_normal.Rd man/tfd_hidden_markov_model.Rd man/tfd_horseshoe.Rd man/tfd_independent.Rd man/tfd_inverse_gamma.Rd man/tfd_inverse_gaussian.Rd man/tfd_joint_distribution_named.Rd man/tfd_joint_distribution_sequential.Rd man/tfd_kl_divergence.Rd man/tfd_kumaraswamy.Rd man/tfd_laplace.Rd man/tfd_linear_gaussian_state_space_model.Rd man/tfd_lkj.Rd man/tfd_log_cdf.Rd man/tfd_log_normal.Rd man/tfd_log_prob.Rd man/tfd_log_survival_function.Rd man/tfd_logistic.Rd man/tfd_mean.Rd man/tfd_mixture.Rd man/tfd_mixture_same_family.Rd man/tfd_mode.Rd man/tfd_multinomial.Rd man/tfd_multivariate_normal_diag.Rd man/tfd_multivariate_normal_diag_plus_low_rank.Rd man/tfd_multivariate_normal_full_covariance.Rd man/tfd_multivariate_normal_linear_operator.Rd man/tfd_multivariate_normal_tri_l.Rd man/tfd_multivariate_student_t_linear_operator.Rd man/tfd_negative_binomial.Rd man/tfd_normal.Rd man/tfd_one_hot_categorical.Rd man/tfd_pareto.Rd man/tfd_poisson.Rd man/tfd_poisson_log_normal_quadrature_compound.Rd man/tfd_prob.Rd man/tfd_quantile.Rd man/tfd_quantized.Rd man/tfd_relaxed_bernoulli.Rd man/tfd_relaxed_one_hot_categorical.Rd man/tfd_sample.Rd man/tfd_sample_distribution.Rd man/tfd_sinh_arcsinh.Rd man/tfd_stddev.Rd man/tfd_student_t.Rd man/tfd_student_t_process.Rd man/tfd_survival_function.Rd man/tfd_transformed_distribution.Rd man/tfd_triangular.Rd man/tfd_truncated_normal.Rd man/tfd_uniform.Rd man/tfd_variance.Rd man/tfd_variational_gaussian_process.Rd man/tfd_vector_diffeomixture.Rd man/tfd_vector_exponential_diag.Rd man/tfd_vector_exponential_linear_operator.Rd man/tfd_vector_laplace_diag.Rd man/tfd_vector_laplace_linear_operator.Rd man/tfd_vector_sinh_arcsinh_diag.Rd man/tfd_von_mises.Rd man/tfd_von_mises_fisher.Rd man/tfd_wishart.Rd man/tfd_zipf.Rd man/tfp.Rd man/vi_amari_alpha.Rd man/vi_fit_surrogate_posterior.Rd man/vi_kl_forward.Rd man/vi_kl_reverse.Rd man/vi_monte_carlo_variational_loss.Rd
pkgdown/_pkgdown.yml
tests/testthat.R
tests/testthat/test-bijector-methods.R
tests/testthat/test-bijectors.R tests/testthat/test-distribution-layers.R tests/testthat/test-distribution-methods.R
tests/testthat/test-distribution-staticmethods.R
tests/testthat/test-distributions.R tests/testthat/test-layers.R tests/testthat/test-mcmc.R tests/testthat/test-sts-functions.R tests/testthat/test-sts.R tests/testthat/test-vi-functions.R tests/testthat/test-vi-optimization.R tests/testthat/utils.R
tfprobability.Rproj
vignettes/dynamic_linear_models.Rmd
vignettes/dynamic_linear_models.html
vignettes/hamiltonian_monte_carlo.Rmd
vignettes/hamiltonian_monte_carlo.html
vignettes/images/capm_filtered.png
vignettes/images/capm_forecast.png
vignettes/images/capm_smoothed.png
vignettes/images/thumb.png
vignettes/images/uncertainty.png
vignettes/images/uncertainty_data.png
vignettes/layer_dense_variational.Rmd
vignettes/layer_dense_variational.html
rstudio/tfprobability documentation built on Aug. 11, 2019, 4:24 p.m.