MXFusion
master
Installation
API Reference
mxfusion
mxfusion.components
mxfusion.components.distributions
mxfusion.components.distributions.bernoulli
mxfusion.components.distributions.categorical
mxfusion.components.distributions.distribution
mxfusion.components.distributions.normal
mxfusion.components.distributions.gamma
mxfusion.components.distributions.pointmass
mxfusion.components.distributions.random_gen
mxfusion.components.distributions.univariate
mxfusion.components.distributions.gp
mxfusion.components.distributions.gp.gp
mxfusion.components.distributions.gp.cond_gp
mxfusion.components.distributions.gp.kernels
mxfusion.components.distributions.gp.kernels.add_kernel
mxfusion.components.distributions.gp.kernels.kernel
mxfusion.components.distributions.gp.kernels.linear
mxfusion.components.distributions.gp.kernels.matern
mxfusion.components.distributions.gp.kernels.rbf
mxfusion.components.distributions.gp.kernels.static
mxfusion.components.distributions.gp.kernels.stationary
mxfusion.components.distributions.laplace
mxfusion.components.distributions.wishart
mxfusion.components.distributions.beta
mxfusion.components.distributions.dirichlet
mxfusion.components.functions
mxfusion.components.functions.function_evaluation
mxfusion.components.functions.gluon_func_eval
mxfusion.components.functions.mxfusion_gluon_function
mxfusion.components.variables
mxfusion.components.variables.runtime_variable
mxfusion.components.variables.var_trans
mxfusion.components.variables.variable
mxfusion.components.factor
mxfusion.components.model_component
mxfusion.inference
mxfusion.inference.batch_loop
mxfusion.inference.forward_sampling
mxfusion.inference.grad_based_inference
mxfusion.inference.grad_loop
mxfusion.inference.inference_alg
mxfusion.inference.inference_parameters
mxfusion.inference.inference
mxfusion.inference.map
mxfusion.inference.meanfield
mxfusion.inference.minibatch_loop
mxfusion.inference.variational
mxfusion.models
mxfusion.models.factor_graph
mxfusion.models.model
mxfusion.models.posterior
mxfusion.modules
mxfusion.modules.gp_modules
mxfusion.modules.gp_modules.gp_regression
mxfusion.modules.gp_modules.sparsegp_regression
mxfusion.modules.gp_modules.svgp_regression
mxfusion.modules.module
mxfusion.util
mxfusion.util.customop
mxfusion.util.serialization
mxfusion.util.inference
mxfusion.util.testutils
mxfusion.util.util
Tutorials
Getting Started
Probabilistic PCA
Bayesian Neural Network Classification
Bayesian Neural Network Regression
Variational Auto-Encoder
Gaussian Process Regression
Writing your own Distribution
Design Overview
MXFusion
Docs
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Index
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Index
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B
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C
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D
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E
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H
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I
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M
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N
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P
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W
A
add() (mxfusion.components.distributions.gp.kernels.kernel.Kernel method)
add_sample_dimension() (in module mxfusion.components.variables.runtime_variable)
add_sample_dimension_to_arrays() (in module mxfusion.components.variables.runtime_variable)
AddKernel (class in mxfusion.components.distributions.gp.kernels.add_kernel)
array_has_samples() (in module mxfusion.components.variables.runtime_variable)
arrays_as_samples() (in module mxfusion.components.variables.runtime_variable)
as_json() (mxfusion.components.model_component.ModelComponent method)
(mxfusion.components.variables.variable.Variable method)
(mxfusion.models.factor_graph.FactorGraph method)
(mxfusion.modules.module.Module method)
as_samples() (in module mxfusion.components.variables.runtime_variable)
assign_factor() (mxfusion.components.variables.variable.Variable method)
attach_draw_samples_algorithms() (mxfusion.modules.module.Module method)
attach_log_pdf_algorithms() (mxfusion.modules.module.Module method)
attach_prediction_algorithms() (mxfusion.modules.module.Module method)
B
backward() (mxfusion.util.customop.BroadcastToWithSamplesOp method)
(mxfusion.util.customop.MakeDiagonalOp method)
BatchInferenceLoop (class in mxfusion.inference.batch_loop)
Bernoulli (class in mxfusion.components.distributions.bernoulli)
Beta (class in mxfusion.components.distributions.beta)
Bias (class in mxfusion.components.distributions.gp.kernels.static)
broadcast_samples_dict() (in module mxfusion.util.inference)
broadcast_to_w_samples() (in module mxfusion.util.customop)
broadcastable (mxfusion.components.distributions.gp.kernels.kernel.Kernel attribute)
(mxfusion.components.distributions.gp.kernels.linear.Linear attribute)
(mxfusion.components.distributions.gp.kernels.matern.Matern attribute)
(mxfusion.components.distributions.gp.kernels.rbf.RBF attribute)
(mxfusion.components.distributions.gp.kernels.static.Bias attribute)
(mxfusion.components.distributions.gp.kernels.static.White attribute)
BroadcastToWithSamplesOp (class in mxfusion.util.customop)
BroadcastToWithSamplesOpProp (class in mxfusion.util.customop)
C
Categorical (class in mxfusion.components.distributions.categorical)
clone() (mxfusion.models.factor_graph.FactorGraph method)
(mxfusion.models.posterior.Posterior method)
CombinationKernel (class in mxfusion.components.distributions.gp.kernels.kernel)
components (mxfusion.models.factor_graph.FactorGraph attribute)
components_graph (mxfusion.models.factor_graph.FactorGraph attribute)
compute() (mxfusion.inference.forward_sampling.ForwardSamplingAlgorithm method)
(mxfusion.inference.inference_alg.InferenceAlgorithm method)
(mxfusion.inference.inference_alg.SamplingAlgorithm method)
(mxfusion.inference.map.MAP method)
(mxfusion.inference.variational.StochasticVariationalInference method)
(mxfusion.modules.gp_modules.gp_regression.GPRegressionLogPdf method)
(mxfusion.modules.gp_modules.gp_regression.GPRegressionMeanVariancePrediction method)
(mxfusion.modules.gp_modules.gp_regression.GPRegressionSampling method)
(mxfusion.modules.gp_modules.gp_regression.GPRegressionSamplingPrediction method)
(mxfusion.modules.gp_modules.sparsegp_regression.SparseGPRegressionLogPdf method)
(mxfusion.modules.gp_modules.sparsegp_regression.SparseGPRegressionMeanVariancePrediction method)
(mxfusion.modules.gp_modules.sparsegp_regression.SparseGPRegressionSamplingPrediction method)
(mxfusion.modules.gp_modules.svgp_regression.SVGPRegressionLogPdf method)
(mxfusion.modules.gp_modules.svgp_regression.SVGPRegressionMeanVariancePrediction method)
(mxfusion.modules.gp_modules.svgp_regression.SVGPRegressionSamplingPrediction method)
ConditionalGaussianProcess (class in mxfusion.components.distributions.gp.cond_gp)
constant (mxfusion.components.variables.variable.Variable attribute)
CONSTANT (mxfusion.components.variables.variable.VariableType attribute)
constants (mxfusion.inference.inference_parameters.InferenceParameters attribute)
create_executor() (mxfusion.inference.grad_based_inference.GradBasedInference method)
(mxfusion.inference.inference.Inference method)
(mxfusion.inference.inference_alg.InferenceAlgorithm method)
create_Gaussian_meanfield() (in module mxfusion.inference.meanfield)
create_operator() (mxfusion.util.customop.BroadcastToWithSamplesOpProp method)
(mxfusion.util.customop.MakeDiagonalOpProp method)
create_posterior() (mxfusion.inference.map.MAP static method)
D
default() (mxfusion.util.serialization.ModelComponentEncoder method)
define_variable() (mxfusion.components.distributions.bernoulli.Bernoulli static method)
(mxfusion.components.distributions.beta.Beta static method)
(mxfusion.components.distributions.categorical.Categorical static method)
(mxfusion.components.distributions.dirichlet.Dirichlet static method)
(mxfusion.components.distributions.distribution.Distribution static method)
(mxfusion.components.distributions.gamma.Gamma static method)
(mxfusion.components.distributions.gamma.GammaMeanVariance static method)
(mxfusion.components.distributions.gp.cond_gp.ConditionalGaussianProcess static method)
(mxfusion.components.distributions.gp.gp.GaussianProcess static method)
(mxfusion.components.distributions.laplace.Laplace static method)
(mxfusion.components.distributions.normal.MultivariateNormal static method)
(mxfusion.components.distributions.normal.MultivariateNormalMeanPrecision static method)
(mxfusion.components.distributions.normal.Normal static method)
(mxfusion.components.distributions.normal.NormalMeanPrecision static method)
(mxfusion.components.distributions.pointmass.PointMass static method)
(mxfusion.components.distributions.wishart.Wishart static method)
(mxfusion.modules.gp_modules.gp_regression.GPRegression static method)
(mxfusion.modules.gp_modules.sparsegp_regression.SparseGPRegression static method)
(mxfusion.modules.gp_modules.svgp_regression.SVGPRegression static method)
Dirichlet (class in mxfusion.components.distributions.dirichlet)
discover_shape_constants() (in module mxfusion.util.inference)
display_str() (mxfusion.components.variables.variable.Variable method)
Distribution (class in mxfusion.components.distributions.distribution)
distributions (mxfusion.models.factor_graph.FactorGraph attribute)
DotProduct (class in mxfusion.util.testutils)
draw_samples() (mxfusion.components.distributions.distribution.Distribution method)
(mxfusion.models.factor_graph.FactorGraph method)
(mxfusion.modules.module.Module method)
draw_samples_impl() (mxfusion.components.distributions.bernoulli.Bernoulli method)
(mxfusion.components.distributions.beta.Beta method)
(mxfusion.components.distributions.categorical.Categorical method)
(mxfusion.components.distributions.dirichlet.Dirichlet method)
(mxfusion.components.distributions.distribution.Distribution method)
(mxfusion.components.distributions.gamma.Gamma method)
(mxfusion.components.distributions.gamma.GammaMeanVariance method)
(mxfusion.components.distributions.gp.cond_gp.ConditionalGaussianProcess method)
(mxfusion.components.distributions.gp.gp.GaussianProcess method)
(mxfusion.components.distributions.laplace.Laplace method)
(mxfusion.components.distributions.normal.MultivariateNormal method)
(mxfusion.components.distributions.normal.MultivariateNormalMeanPrecision method)
(mxfusion.components.distributions.normal.Normal method)
(mxfusion.components.distributions.normal.NormalMeanPrecision method)
(mxfusion.components.distributions.pointmass.PointMass method)
(mxfusion.components.distributions.wishart.Wishart method)
E
eval() (mxfusion.components.distributions.gp.kernels.kernel.Kernel method)
(mxfusion.components.functions.function_evaluation.FunctionEvaluation method)
(mxfusion.components.functions.mxfusion_gluon_function.MXFusionGluonFunction method)
eval_impl() (mxfusion.components.functions.function_evaluation.FunctionEvaluation method)
(mxfusion.components.functions.function_evaluation.FunctionEvaluationWithParameters method)
expectation() (in module mxfusion.components.variables.runtime_variable)
expose_hidden_parameters_as_input() (mxfusion.modules.module.Module method)
extract_distribution_of() (mxfusion.models.factor_graph.FactorGraph method)
F
Factor (class in mxfusion.components.factor)
factor (mxfusion.components.variables.variable.Variable attribute)
FactorGraph (class in mxfusion.models.factor_graph)
fetch_parameters() (mxfusion.components.distributions.gp.kernels.kernel.Kernel method)
fetch_runtime_inputs() (mxfusion.components.factor.Factor method)
fetch_runtime_outputs() (mxfusion.components.factor.Factor method)
fix_all() (mxfusion.inference.inference_parameters.InferenceParameters method)
forward() (mxfusion.util.customop.BroadcastToWithSamplesOp method)
(mxfusion.util.customop.MakeDiagonalOp method)
ForwardSampling (class in mxfusion.inference.forward_sampling)
ForwardSamplingAlgorithm (class in mxfusion.inference.forward_sampling)
function (mxfusion.components.functions.function_evaluation.FunctionEvaluationWithParameters attribute)
FunctionEvaluation (class in mxfusion.components.functions.function_evaluation)
FunctionEvaluationWithParameters (class in mxfusion.components.functions.function_evaluation)
functions (mxfusion.models.factor_graph.FactorGraph attribute)
FUNCVAR (mxfusion.components.variables.variable.VariableType attribute)
G
Gamma (class in mxfusion.components.distributions.gamma)
GammaMeanVariance (class in mxfusion.components.distributions.gamma)
GaussianProcess (class in mxfusion.components.distributions.gp.gp)
generate_executor() (mxfusion.inference.inference.TransferInference method)
get_constants() (mxfusion.models.factor_graph.FactorGraph method)
get_descendants() (mxfusion.models.factor_graph.FactorGraph method)
get_latent_variables() (mxfusion.models.model.Model method)
get_markov_blanket() (mxfusion.models.factor_graph.FactorGraph method)
get_names_from_uuid() (mxfusion.modules.module.Module method)
get_num_samples() (in module mxfusion.components.variables.runtime_variable)
get_parameters() (mxfusion.models.factor_graph.FactorGraph method)
get_serializable() (mxfusion.inference.inference.Inference method)
(mxfusion.inference.inference_parameters.InferenceParameters method)
gluon_block (mxfusion.components.functions.mxfusion_gluon_function.MXFusionGluonFunction attribute)
GluonFunctionEvaluation (class in mxfusion.components.functions.gluon_func_eval)
GPRegression (class in mxfusion.modules.gp_modules.gp_regression)
GPRegressionLogPdf (class in mxfusion.modules.gp_modules.gp_regression)
GPRegressionMeanVariancePrediction (class in mxfusion.modules.gp_modules.gp_regression)
GPRegressionSampling (class in mxfusion.modules.gp_modules.gp_regression)
GPRegressionSamplingPrediction (class in mxfusion.modules.gp_modules.gp_regression)
GradBasedInference (class in mxfusion.inference.grad_based_inference)
GradLoop (class in mxfusion.inference.grad_loop)
GradTransferInference (class in mxfusion.inference.grad_based_inference)
graph (mxfusion.components.model_component.ModelComponent attribute)
graphs (mxfusion.inference.inference.Inference attribute)
(mxfusion.inference.inference_alg.InferenceAlgorithm attribute)
H
has_mean (mxfusion.components.distributions.gp.cond_gp.ConditionalGaussianProcess attribute)
(mxfusion.components.distributions.gp.gp.GaussianProcess attribute)
hidden_parameters (mxfusion.modules.module.Module attribute)
hybrid_forward() (mxfusion.inference.inference_alg.ObjectiveBlock method)
(mxfusion.util.testutils.DotProduct method)
(mxfusion.util.testutils.TestBlock method)
I
infer_shape() (mxfusion.util.customop.BroadcastToWithSamplesOpProp method)
(mxfusion.util.customop.MakeDiagonalOpProp method)
Inference (class in mxfusion.inference.inference)
inference_algorithm (mxfusion.inference.inference.Inference attribute)
InferenceAlgorithm (class in mxfusion.inference.inference_alg)
InferenceParameters (class in mxfusion.inference.inference_parameters)
init_outcomes() (in module mxfusion.util.inference)
initial_value (mxfusion.components.variables.variable.Variable attribute)
initial_value_before_transformation (mxfusion.components.variables.variable.Variable attribute)
initialize() (mxfusion.inference.inference.Inference method)
initialize_hidden_parameters() (mxfusion.modules.module.Module method)
initialize_params() (mxfusion.inference.inference_parameters.InferenceParameters method)
initialize_with_carryover_params() (mxfusion.inference.inference_parameters.InferenceParameters method)
input_names (mxfusion.components.distributions.gp.kernels.kernel.Kernel attribute)
(mxfusion.components.factor.Factor attribute)
(mxfusion.components.functions.mxfusion_gluon_function.MXFusionGluonFunction attribute)
inputs (mxfusion.components.factor.Factor attribute)
inverseTransform() (mxfusion.components.variables.var_trans.Logistic method)
(mxfusion.components.variables.var_trans.Softplus method)
(mxfusion.components.variables.var_trans.VariableTransformation method)
K
K() (mxfusion.components.distributions.gp.kernels.kernel.Kernel method)
Kdiag() (mxfusion.components.distributions.gp.kernels.kernel.Kernel method)
Kernel (class in mxfusion.components.distributions.gp.kernels.kernel)
L
Laplace (class in mxfusion.components.distributions.laplace)
leaves (mxfusion.models.factor_graph.FactorGraph attribute)
Linear (class in mxfusion.components.distributions.gp.kernels.linear)
list_arguments() (mxfusion.util.customop.BroadcastToWithSamplesOpProp method)
(mxfusion.util.customop.MakeDiagonalOpProp method)
list_outputs() (mxfusion.util.customop.BroadcastToWithSamplesOpProp method)
(mxfusion.util.customop.MakeDiagonalOpProp method)
load() (mxfusion.inference.inference.Inference method)
load_configuration() (mxfusion.inference.inference.Inference method)
load_from_json() (mxfusion.models.factor_graph.FactorGraph method)
load_graphs() (mxfusion.models.factor_graph.FactorGraph static method)
load_json_file() (in module mxfusion.util.serialization)
load_json_from_zip() (in module mxfusion.util.serialization)
load_module() (mxfusion.modules.module.Module method)
load_parameters() (in module mxfusion.util.serialization)
(mxfusion.inference.inference_parameters.InferenceParameters static method)
local_parameters (mxfusion.components.distributions.gp.kernels.kernel.Kernel attribute)
log_cdf() (mxfusion.components.distributions.distribution.Distribution method)
log_pdf() (mxfusion.components.distributions.distribution.Distribution method)
(mxfusion.models.factor_graph.FactorGraph method)
(mxfusion.modules.module.Module method)
log_pdf_impl() (mxfusion.components.distributions.bernoulli.Bernoulli method)
(mxfusion.components.distributions.beta.Beta method)
(mxfusion.components.distributions.categorical.Categorical method)
(mxfusion.components.distributions.dirichlet.Dirichlet method)
(mxfusion.components.distributions.distribution.Distribution method)
(mxfusion.components.distributions.gamma.Gamma method)
(mxfusion.components.distributions.gamma.GammaMeanVariance method)
(mxfusion.components.distributions.gp.cond_gp.ConditionalGaussianProcess method)
(mxfusion.components.distributions.gp.gp.GaussianProcess method)
(mxfusion.components.distributions.laplace.Laplace method)
(mxfusion.components.distributions.normal.MultivariateNormal method)
(mxfusion.components.distributions.normal.MultivariateNormalMeanPrecision method)
(mxfusion.components.distributions.normal.Normal method)
(mxfusion.components.distributions.normal.NormalMeanPrecision method)
(mxfusion.components.distributions.pointmass.PointMass method)
(mxfusion.components.distributions.wishart.Wishart method)
Logistic (class in mxfusion.components.variables.var_trans)
M
make_basic_model() (in module mxfusion.util.testutils)
make_bnn_model() (in module mxfusion.util.testutils)
make_diagonal() (in module mxfusion.util.customop)
make_net() (in module mxfusion.util.testutils)
make_numpy() (in module mxfusion.util.serialization)
make_spd_matrix() (in module mxfusion.util.testutils)
MakeDiagonalOp (class in mxfusion.util.customop)
MakeDiagonalOpProp (class in mxfusion.util.customop)
MAP (class in mxfusion.inference.map)
Matern (class in mxfusion.components.distributions.gp.kernels.matern)
Matern12 (class in mxfusion.components.distributions.gp.kernels.matern)
Matern32 (class in mxfusion.components.distributions.gp.kernels.matern)
Matern52 (class in mxfusion.components.distributions.gp.kernels.matern)
merge_posterior_into_model() (in module mxfusion.inference.forward_sampling)
MinibatchInferenceLoop (class in mxfusion.inference.minibatch_loop)
MockMXNetRandomGenerator (class in mxfusion.util.testutils)
Model (class in mxfusion.models.model)
model (mxfusion.inference.inference_alg.InferenceAlgorithm attribute)
ModelComponent (class in mxfusion.components.model_component)
ModelComponentDecoder (class in mxfusion.util.serialization)
ModelComponentEncoder (class in mxfusion.util.serialization)
Module (class in mxfusion.modules.module)
modules (mxfusion.models.factor_graph.FactorGraph attribute)
multiply() (mxfusion.components.distributions.gp.kernels.kernel.Kernel method)
MultivariateNormal (class in mxfusion.components.distributions.normal)
MultivariateNormalMeanPrecision (class in mxfusion.components.distributions.normal)
mxfusion (module)
mxfusion.components (module)
mxfusion.components.distributions (module)
mxfusion.components.distributions.bernoulli (module)
mxfusion.components.distributions.beta (module)
mxfusion.components.distributions.categorical (module)
mxfusion.components.distributions.dirichlet (module)
mxfusion.components.distributions.distribution (module)
mxfusion.components.distributions.gamma (module)
mxfusion.components.distributions.gp (module)
mxfusion.components.distributions.gp.cond_gp (module)
mxfusion.components.distributions.gp.gp (module)
mxfusion.components.distributions.gp.kernels (module)
mxfusion.components.distributions.gp.kernels.add_kernel (module)
mxfusion.components.distributions.gp.kernels.kernel (module)
mxfusion.components.distributions.gp.kernels.linear (module)
mxfusion.components.distributions.gp.kernels.matern (module)
mxfusion.components.distributions.gp.kernels.rbf (module)
mxfusion.components.distributions.gp.kernels.static (module)
mxfusion.components.distributions.gp.kernels.stationary (module)
mxfusion.components.distributions.laplace (module)
mxfusion.components.distributions.normal (module)
mxfusion.components.distributions.pointmass (module)
mxfusion.components.distributions.random_gen (module)
mxfusion.components.distributions.univariate (module)
mxfusion.components.distributions.wishart (module)
mxfusion.components.factor (module)
mxfusion.components.functions (module)
mxfusion.components.functions.function_evaluation (module)
mxfusion.components.functions.gluon_func_eval (module)
mxfusion.components.functions.mxfusion_gluon_function (module)
mxfusion.components.model_component (module)
mxfusion.components.variables (module)
mxfusion.components.variables.runtime_variable (module)
mxfusion.components.variables.var_trans (module)
mxfusion.components.variables.variable (module)
mxfusion.inference (module)
mxfusion.inference.batch_loop (module)
mxfusion.inference.forward_sampling (module)
mxfusion.inference.grad_based_inference (module)
mxfusion.inference.grad_loop (module)
mxfusion.inference.inference (module)
mxfusion.inference.inference_alg (module)
mxfusion.inference.inference_parameters (module)
mxfusion.inference.map (module)
mxfusion.inference.meanfield (module)
mxfusion.inference.minibatch_loop (module)
mxfusion.inference.variational (module)
mxfusion.models (module)
mxfusion.models.factor_graph (module)
mxfusion.models.model (module)
mxfusion.models.posterior (module)
mxfusion.modules (module)
mxfusion.modules.gp_modules (module)
mxfusion.modules.gp_modules.gp_regression (module)
mxfusion.modules.gp_modules.sparsegp_regression (module)
mxfusion.modules.gp_modules.svgp_regression (module)
mxfusion.modules.module (module)
mxfusion.util (module)
mxfusion.util.customop (module)
mxfusion.util.inference (module)
mxfusion.util.serialization (module)
mxfusion.util.testutils (module)
mxfusion.util.util (module)
MXFusionGluonFunction (class in mxfusion.components.functions.mxfusion_gluon_function)
MXNetRandomGenerator (class in mxfusion.components.distributions.random_gen)
N
NativeKernel (class in mxfusion.components.distributions.gp.kernels.kernel)
Normal (class in mxfusion.components.distributions.normal)
NormalMeanPrecision (class in mxfusion.components.distributions.normal)
numpy_array_reshape() (in module mxfusion.util.testutils)
O
object_hook() (mxfusion.util.serialization.ModelComponentDecoder method)
ObjectiveBlock (class in mxfusion.inference.inference_alg)
observed_variable_names (mxfusion.inference.inference.Inference attribute)
(mxfusion.inference.inference_alg.InferenceAlgorithm attribute)
observed_variable_UUIDs (mxfusion.inference.inference.Inference attribute)
(mxfusion.inference.inference_alg.InferenceAlgorithm attribute)
observed_variables (mxfusion.inference.inference.Inference attribute)
(mxfusion.inference.inference_alg.InferenceAlgorithm attribute)
ordered_factors (mxfusion.models.factor_graph.FactorGraph attribute)
output_names (mxfusion.components.distributions.gp.kernels.kernel.Kernel attribute)
(mxfusion.components.factor.Factor attribute)
(mxfusion.components.functions.mxfusion_gluon_function.MXFusionGluonFunction attribute)
outputs (mxfusion.components.factor.Factor attribute)
P
param_dict (mxfusion.inference.inference_parameters.InferenceParameters attribute)
PARAMETER (mxfusion.components.variables.variable.VariableType attribute)
parameter_names (mxfusion.components.distributions.gp.kernels.kernel.CombinationKernel attribute)
(mxfusion.components.distributions.gp.kernels.kernel.NativeKernel attribute)
(mxfusion.components.functions.mxfusion_gluon_function.MXFusionGluonFunction attribute)
parameters (mxfusion.components.distributions.gp.kernels.kernel.CombinationKernel attribute)
(mxfusion.components.distributions.gp.kernels.kernel.Kernel attribute)
(mxfusion.components.distributions.gp.kernels.kernel.NativeKernel attribute)
(mxfusion.components.functions.function_evaluation.FunctionEvaluationWithParameters attribute)
(mxfusion.components.functions.mxfusion_gluon_function.MXFusionGluonFunction attribute)
parse_string_to_tuple() (in module mxfusion.util.util)
plot_bivariate() (in module mxfusion.util.testutils)
plot_univariate() (in module mxfusion.util.testutils)
PointMass (class in mxfusion.components.distributions.pointmass)
PositiveTransformation (class in mxfusion.components.variables.var_trans)
Posterior (class in mxfusion.models.posterior)
posterior (mxfusion.inference.map.MAP attribute)
(mxfusion.inference.variational.VariationalInference attribute)
(mxfusion.inference.variational.VariationalSamplingAlgorithm attribute)
predecessors (mxfusion.components.model_component.ModelComponent attribute)
predict() (mxfusion.modules.module.Module method)
prepare_executor() (mxfusion.inference.inference_alg.InferenceAlgorithm method)
(mxfusion.modules.module.Module method)
prepare_mxnet_array() (in module mxfusion.util.testutils)
print_params() (mxfusion.inference.inference.Inference method)
R
RandomGenerator (class in mxfusion.components.distributions.random_gen)
RANDVAR (mxfusion.components.variables.variable.VariableType attribute)
RBF (class in mxfusion.components.distributions.gp.kernels.rbf)
realize_shape() (in module mxfusion.util.inference)
reconcile_graphs() (mxfusion.models.factor_graph.FactorGraph static method)
reconcile_with_module() (mxfusion.modules.module.Module method)
remove_component() (mxfusion.models.factor_graph.FactorGraph method)
remove_subgraph() (mxfusion.models.factor_graph.FactorGraph method)
rename_duplicate_names() (in module mxfusion.util.util)
replace_subgraph() (mxfusion.models.factor_graph.FactorGraph method)
replicate() (mxfusion.components.model_component.ModelComponent method)
replicate_self() (mxfusion.components.distributions.bernoulli.Bernoulli method)
(mxfusion.components.distributions.categorical.Categorical method)
(mxfusion.components.distributions.dirichlet.Dirichlet method)
(mxfusion.components.distributions.distribution.Distribution method)
(mxfusion.components.distributions.gp.cond_gp.ConditionalGaussianProcess method)
(mxfusion.components.distributions.gp.gp.GaussianProcess method)
(mxfusion.components.distributions.gp.kernels.kernel.CombinationKernel method)
(mxfusion.components.distributions.gp.kernels.kernel.Kernel method)
(mxfusion.components.distributions.gp.kernels.linear.Linear method)
(mxfusion.components.distributions.gp.kernels.stationary.StationaryKernel method)
(mxfusion.components.distributions.normal.MultivariateNormal method)
(mxfusion.components.distributions.normal.MultivariateNormalMeanPrecision method)
(mxfusion.components.distributions.wishart.Wishart method)
(mxfusion.components.factor.Factor method)
(mxfusion.components.functions.function_evaluation.FunctionEvaluation method)
(mxfusion.components.functions.function_evaluation.FunctionEvaluationWithParameters method)
(mxfusion.components.functions.mxfusion_gluon_function.MXFusionGluonFunction method)
(mxfusion.components.variables.variable.Variable method)
(mxfusion.inference.inference_alg.InferenceAlgorithm method)
(mxfusion.modules.gp_modules.gp_regression.GPRegression method)
(mxfusion.modules.gp_modules.sparsegp_regression.SparseGPRegression method)
(mxfusion.modules.gp_modules.svgp_regression.SVGPRegression method)
(mxfusion.modules.module.Module method)
roots (mxfusion.models.factor_graph.FactorGraph attribute)
run() (mxfusion.inference.batch_loop.BatchInferenceLoop method)
(mxfusion.inference.grad_based_inference.GradBasedInference method)
(mxfusion.inference.grad_loop.GradLoop method)
(mxfusion.inference.inference.Inference method)
(mxfusion.inference.minibatch_loop.MinibatchInferenceLoop method)
S
sample_bernoulli() (mxfusion.components.distributions.random_gen.MXNetRandomGenerator static method)
(mxfusion.components.distributions.random_gen.RandomGenerator static method)
(mxfusion.util.testutils.MockMXNetRandomGenerator method)
sample_gamma() (mxfusion.components.distributions.random_gen.MXNetRandomGenerator static method)
(mxfusion.components.distributions.random_gen.RandomGenerator static method)
(mxfusion.util.testutils.MockMXNetRandomGenerator method)
sample_laplace() (mxfusion.components.distributions.random_gen.MXNetRandomGenerator static method)
(mxfusion.components.distributions.random_gen.RandomGenerator static method)
(mxfusion.util.testutils.MockMXNetRandomGenerator method)
sample_multinomial() (mxfusion.components.distributions.random_gen.MXNetRandomGenerator static method)
(mxfusion.components.distributions.random_gen.RandomGenerator static method)
(mxfusion.util.testutils.MockMXNetRandomGenerator method)
sample_normal() (mxfusion.components.distributions.random_gen.MXNetRandomGenerator static method)
(mxfusion.components.distributions.random_gen.RandomGenerator static method)
(mxfusion.util.testutils.MockMXNetRandomGenerator method)
sample_uniform() (mxfusion.components.distributions.random_gen.MXNetRandomGenerator static method)
(mxfusion.components.distributions.random_gen.RandomGenerator static method)
(mxfusion.util.testutils.MockMXNetRandomGenerator method)
SamplingAlgorithm (class in mxfusion.inference.inference_alg)
save() (mxfusion.inference.inference.Inference method)
(mxfusion.models.factor_graph.FactorGraph static method)
set_initializer() (mxfusion.inference.inference.Inference method)
set_outputs() (mxfusion.components.factor.Factor method)
(mxfusion.modules.module.Module method)
set_parameter() (mxfusion.inference.inference_alg.InferenceAlgorithm method)
set_prior() (mxfusion.components.variables.variable.Variable method)
set_single_input() (mxfusion.components.factor.Factor method)
shape_str (mxfusion.components.variables.variable.Variable attribute)
slice_axis() (in module mxfusion.util.util)
Softplus (class in mxfusion.components.variables.var_trans)
SparseGPRegression (class in mxfusion.modules.gp_modules.sparsegp_regression)
SparseGPRegressionLogPdf (class in mxfusion.modules.gp_modules.sparsegp_regression)
SparseGPRegressionMeanVariancePrediction (class in mxfusion.modules.gp_modules.sparsegp_regression)
SparseGPRegressionSamplingPrediction (class in mxfusion.modules.gp_modules.sparsegp_regression)
StationaryKernel (class in mxfusion.components.distributions.gp.kernels.stationary)
StochasticVariationalInference (class in mxfusion.inference.variational)
successors (mxfusion.components.model_component.ModelComponent attribute)
SVGPRegression (class in mxfusion.modules.gp_modules.svgp_regression)
SVGPRegressionLogPdf (class in mxfusion.modules.gp_modules.svgp_regression)
SVGPRegressionMeanVariancePrediction (class in mxfusion.modules.gp_modules.svgp_regression)
SVGPRegressionSamplingPrediction (class in mxfusion.modules.gp_modules.svgp_regression)
T
TestBlock (class in mxfusion.util.testutils)
TransferInference (class in mxfusion.inference.inference)
transform() (mxfusion.components.variables.var_trans.Logistic method)
(mxfusion.components.variables.var_trans.Softplus method)
(mxfusion.components.variables.var_trans.VariableTransformation method)
transformation (mxfusion.components.variables.variable.Variable attribute)
type (mxfusion.components.variables.variable.Variable attribute)
U
UnivariateDistribution (class in mxfusion.components.distributions.univariate)
update_constants() (mxfusion.inference.inference_parameters.InferenceParameters method)
uuid (mxfusion.components.model_component.ModelComponent attribute)
V
var_ties (mxfusion.inference.inference_parameters.InferenceParameters attribute)
(mxfusion.models.factor_graph.FactorGraph attribute)
Variable (class in mxfusion.components.variables.variable)
variables (mxfusion.models.factor_graph.FactorGraph attribute)
variables_to_UUID() (in module mxfusion.util.inference)
VariableTransformation (class in mxfusion.components.variables.var_trans)
VariableType (class in mxfusion.components.variables.variable)
VariationalInference (class in mxfusion.inference.variational)
VariationalPosteriorForwardSampling (class in mxfusion.inference.forward_sampling)
VariationalSamplingAlgorithm (class in mxfusion.inference.variational)
W
White (class in mxfusion.components.distributions.gp.kernels.static)
Wishart (class in mxfusion.components.distributions.wishart)
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