Index

_

__copy__() (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.distributions.TruncatedGaussianDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.ProductUnit method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) __deepcopy__() (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.TruncatedGaussianDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.ContinuousLayerWithFiniteSupport method), [1] (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.input_layer.ContinuousLayerWithFiniteSupport method) (probabilistic_model.probabilistic_circuit.jax.Layer method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.ProductLayer method) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) __eq__() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.distributions.UnivariateDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.TruncatedGaussianDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.distributions.UnivariateDistribution method), [1], [2] (probabilistic_model.learning.jpt.jpt.JPT method) (probabilistic_model.learning.jpt.variables.Integer method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) __hash__ (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilisticCircuit attribute) (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilityTable attribute) (probabilistic_model.bayesian_network.bayesian_network.Root attribute) (probabilistic_model.probabilistic_circuit.jax.ProductUnit attribute) (probabilistic_model.probabilistic_circuit.jax.SumUnit attribute) (probabilistic_model.probabilistic_circuit.jax.UnivariateContinuousLeaf attribute), [1] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit attribute) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit attribute) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.UnivariateContinuousLeaf attribute) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.UnivariateDiscreteLeaf attribute) __hash__() (probabilistic_model.bayesian_network.bayesian_network.Node method) (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.learning.jpt.variables.Integer method) (probabilistic_model.learning.region_graph.region_graph.Partition method) (probabilistic_model.learning.region_graph.region_graph.Region method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method)

__iter__() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) __len__() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) __missing__() (probabilistic_model.distributions.MissingDict method), [1], [2] (probabilistic_model.utils.MissingDict method) __post_init__() (probabilistic_model.bayesian_network.bayesian_network.Node method) (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method) __repr__() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilisticCircuit method) (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilityTable method) (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.learning.region_graph.region_graph.Region method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.ProductUnit method) (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) __str__() (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.learning.jpt.variables.ScaledContinuous method) __version__ (in module probabilistic_model) _from_json() (probabilistic_model.distributions.DiracDeltaDistribution class method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution class method), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution class method) (probabilistic_model.distributions.distributions.DiscreteDistribution class method) (probabilistic_model.distributions.distributions.SymbolicDistribution class method) (probabilistic_model.distributions.gaussian.GaussianDistribution class method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution class method) (probabilistic_model.distributions.GaussianDistribution class method) (probabilistic_model.distributions.multinomial.MultinomialDistribution class method) (probabilistic_model.distributions.SymbolicDistribution class method), [1], [2] (probabilistic_model.distributions.TruncatedGaussianDistribution class method) (probabilistic_model.distributions.uniform.UniformDistribution class method) (probabilistic_model.distributions.UniformDistribution class method) (probabilistic_model.learning.jpt.jpt.JPT class method) (probabilistic_model.learning.jpt.variables.Continuous class method) (probabilistic_model.learning.jpt.variables.Integer class method) (probabilistic_model.learning.nyga_distribution.NygaDistribution class method) (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution class method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaLayer class method) (probabilistic_model.probabilistic_circuit.jax.discrete_layer.DiscreteLayer class method) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer class method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer class method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.input_layer.DiracDeltaLayer class method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit class method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit.ProbabilisticCircuit class method) (probabilistic_model.probabilistic_circuit.jax.ProductLayer class method) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.SumUnit class method) (probabilistic_model.probabilistic_circuit.jax.uniform_layer.UniformLayer class method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution class method) (probabilistic_model.probabilistic_circuit.jax.UniformLayer class method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.InnerUnit class method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit class method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit class method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit class method) _latent_variable (probabilistic_model.probabilistic_circuit.jax.SumUnit attribute) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit attribute) _min_samples_leaf (probabilistic_model.learning.jpt.jpt.JPT attribute) _variable_dependencies_to_json() (probabilistic_model.learning.jpt.jpt.JPT method) _variables (probabilistic_model.distributions.multinomial.MultinomialDistribution attribute) (probabilistic_model.probabilistic_circuit.jax.inner_layer.InputLayer attribute) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer attribute) (probabilistic_model.probabilistic_circuit.jax.InputLayer attribute), [1] (probabilistic_model.probabilistic_circuit.jax.Layer attribute)

A

abbreviated_symbol (probabilistic_model.distributions.DiracDeltaDistribution property), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution property) (probabilistic_model.distributions.distributions.UnivariateDistribution property) (probabilistic_model.distributions.gaussian.GaussianDistribution property) (probabilistic_model.distributions.GaussianDistribution property) (probabilistic_model.distributions.uniform.UniformDistribution property) (probabilistic_model.distributions.UniformDistribution property) (probabilistic_model.distributions.UnivariateDistribution property), [1], [2] (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution property) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution property) add_edge() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) add_edges_and_nodes_from_circuit() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) add_edges_from() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) add_from_subgraph() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) add_node() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method)

add_nodes_from() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) add_subcircuit() (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.InnerUnit method) add_weighted_edges_from() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) all_layers() (probabilistic_model.probabilistic_circuit.jax.inner_layer.InnerLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer method) (probabilistic_model.probabilistic_circuit.jax.InnerLayer method) (probabilistic_model.probabilistic_circuit.jax.Layer method) all_layers_with_depth() (probabilistic_model.probabilistic_circuit.jax.inner_layer.InnerLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer method) (probabilistic_model.probabilistic_circuit.jax.InnerLayer method) (probabilistic_model.probabilistic_circuit.jax.Layer method) all_union_of_mixture_points_with() (probabilistic_model.learning.nyga_distribution.NygaDistribution method) as_deterministic_sum() (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.UnivariateDiscreteLeaf method) as_probabilistic_circuit() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilisticCircuit method) (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilityTable method) (probabilistic_model.bayesian_network.bayesian_network.Node method) (probabilistic_model.bayesian_network.bayesian_network.Root method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.learning.region_graph.region_graph.RegionGraph method) (probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit.ClassificationCircuit method)

B

bayesian_network (probabilistic_model.bayesian_network.bayesian_network.Node attribute) BayesianNetwork (class in probabilistic_model.bayesian_network.bayesian_network) begin_index (probabilistic_model.learning.nyga_distribution.InductionStep attribute)

bfs_layout() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) bounding_box_trace_of_simple_event() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method)

C

c45() (probabilistic_model.learning.jpt.jpt.JPT method) c45queue (probabilistic_model.learning.jpt.jpt.JPT attribute) cdf() (probabilistic_model.distributions.ContinuousDistribution method), [1], [2] (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistribution method) (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.IntegerDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.IntegerDistribution method), [1], [2] (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.distributions.TruncatedGaussianDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) cdf_of_lower (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution property) (probabilistic_model.distributions.TruncatedGaussianDistribution property) cdf_trace() (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) CDF_TRACE_COLOR (in module probabilistic_model.constants) (in module probabilistic_model.distributions) CDF_TRACE_NAME (in module probabilistic_model.constants) (in module probabilistic_model.distributions) child_layers (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer attribute) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer attribute) (probabilistic_model.probabilistic_circuit.jax.inner_layer.InnerLayer attribute) (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer attribute) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SumLayer attribute) (probabilistic_model.probabilistic_circuit.jax.InnerLayer attribute) (probabilistic_model.probabilistic_circuit.jax.ProductLayer attribute) (probabilistic_model.probabilistic_circuit.jax.SumLayer attribute) circled_product (in module probabilistic_model.interfaces.drawio.drawio) circled_sum (in module probabilistic_model.interfaces.drawio.drawio) circuit (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.CouplingCircuit attribute) circuit_columns (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.CouplingCircuit attribute) classes (probabilistic_model.learning.region_graph.region_graph.RegionGraph attribute) ClassificationCircuit (class in probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit) composite_set_from_event() (probabilistic_model.distributions.distributions.UnivariateDistribution method) (probabilistic_model.distributions.UnivariateDistribution method), [1], [2] compute_best_split() (probabilistic_model.learning.nyga_distribution.InductionStep method) concatenated_log_weights (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer property) conditional() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) conditional_log_likelihood() (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.CouplingCircuit method) conditional_log_likelihood_single() (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.CouplingCircuit method) conditional_probability_distributions (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilisticCircuit attribute) (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilityTable attribute)

ConditionalProbabilisticCircuit (class in probabilistic_model.bayesian_network.bayesian_network) ConditionalProbabilityTable (class in probabilistic_model.bayesian_network.bayesian_network) Conditioner (class in probabilistic_model.probabilistic_circuit.jax.coupling_circuit) conditioner (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.CouplingCircuit attribute) conditioner_columns (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.CouplingCircuit attribute) connect_incoming_edges_to() (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method) construct_impurity() (probabilistic_model.learning.jpt.jpt.JPT method) construct_left_induction_step() (probabilistic_model.learning.nyga_distribution.InductionStep method) construct_right_induction_step() (probabilistic_model.learning.nyga_distribution.InductionStep method) Continuous (class in probabilistic_model.learning.jpt.variables) ContinuousDistribution (class in probabilistic_model.distributions), [1], [2] (class in probabilistic_model.distributions.distributions) ContinuousDistributionWithFiniteSupport (class in probabilistic_model.distributions), [1], [2] (class in probabilistic_model.distributions.distributions) ContinuousLayer (class in probabilistic_model.probabilistic_circuit.jax) (class in probabilistic_model.probabilistic_circuit.jax.input_layer) ContinuousLayerWithFiniteSupport (class in probabilistic_model.probabilistic_circuit.jax), [1] (class in probabilistic_model.probabilistic_circuit.jax.input_layer) copy_bcoo() (in module probabilistic_model.probabilistic_circuit.jax), [1] (in module probabilistic_model.probabilistic_circuit.jax.utils) copy_bcsr() (in module probabilistic_model.probabilistic_circuit.jax) (in module probabilistic_model.probabilistic_circuit.jax.utils) copy_without_graph() (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method) CouplingCircuit (class in probabilistic_model.probabilistic_circuit.jax.coupling_circuit) create_bcoo_indices_from_row_lengths() (in module probabilistic_model.probabilistic_circuit.jax) (in module probabilistic_model.probabilistic_circuit.jax.utils) create_bcoo_indices_from_row_lengths_np() (in module probabilistic_model.probabilistic_circuit.jax) (in module probabilistic_model.probabilistic_circuit.jax.utils) create_bcsr_indices_from_row_lengths() (in module probabilistic_model.probabilistic_circuit.jax) (in module probabilistic_model.probabilistic_circuit.jax.utils) create_circuit_from_parameters() (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.CouplingCircuit method) create_layer_from_nodes_with_same_type_and_scope() (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaLayer class method) (probabilistic_model.probabilistic_circuit.jax.discrete_layer.DiscreteLayer class method) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer class method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer class method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer class method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.input_layer.DiracDeltaLayer class method) (probabilistic_model.probabilistic_circuit.jax.Layer class method) (probabilistic_model.probabilistic_circuit.jax.ProductLayer class method) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.uniform_layer.UniformLayer class method) (probabilistic_model.probabilistic_circuit.jax.UniformLayer class method) create_layers_from_nodes() (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer static method) (probabilistic_model.probabilistic_circuit.jax.Layer static method) create_leaf_node() (probabilistic_model.learning.jpt.jpt.JPT method) create_random_region_graph() (probabilistic_model.learning.region_graph.region_graph.RegionGraph method) create_uniform_distribution() (probabilistic_model.learning.nyga_distribution.InductionStep method) create_uniform_distribution_from_indices() (probabilistic_model.learning.nyga_distribution.InductionStep method) cumulative_log_weights (probabilistic_model.learning.nyga_distribution.InductionStep attribute) cumulative_weights (probabilistic_model.learning.nyga_distribution.InductionStep attribute)

D

data (probabilistic_model.learning.nyga_distribution.InductionStep attribute) decode() (probabilistic_model.learning.jpt.variables.ScaledContinuous method) DenseSumLayer (class in probabilistic_model.probabilistic_circuit.jax) (class in probabilistic_model.probabilistic_circuit.jax.inner_layer) density_cap (probabilistic_model.distributions.DiracDeltaDistribution attribute), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution attribute) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution attribute) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaLayer attribute) (probabilistic_model.probabilistic_circuit.jax.input_layer.DiracDeltaLayer attribute) dependencies (probabilistic_model.learning.jpt.jpt.JPT attribute) depth (probabilistic_model.learning.region_graph.region_graph.RegionGraph attribute) descendants() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) DiracDeltaDistribution (class in probabilistic_model.distributions), [1], [2] (class in probabilistic_model.distributions.distributions) (class in probabilistic_model.probabilistic_circuit.jax) DiracDeltaLayer (class in probabilistic_model.probabilistic_circuit.jax) (class in probabilistic_model.probabilistic_circuit.jax.input_layer) DiscreteDistribution (class in probabilistic_model.distributions), [1], [2] (class in probabilistic_model.distributions.distributions) DiscreteLayer (class in probabilistic_model.probabilistic_circuit.jax.discrete_layer) distribution (probabilistic_model.bayesian_network.bayesian_network.Root attribute) (probabilistic_model.probabilistic_circuit.jax.UnivariateContinuousLeaf attribute), [1] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit attribute) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.UnivariateContinuousLeaf attribute) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.UnivariateDiscreteLeaf attribute)

drawio_label (probabilistic_model.distributions.distributions.SymbolicDistribution property) (probabilistic_model.distributions.DrawIOInterface property), [1], [2] (probabilistic_model.distributions.SymbolicDistribution property), [1], [2] (probabilistic_model.distributions.uniform.UniformDistribution property) (probabilistic_model.distributions.UniformDistribution property) (probabilistic_model.interfaces.drawio.drawio.DrawIOInterface property) (probabilistic_model.probabilistic_circuit.jax.ProductUnit property) (probabilistic_model.probabilistic_circuit.jax.SumUnit property) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit property) drawio_style (probabilistic_model.distributions.distributions.UnivariateDistribution property) (probabilistic_model.distributions.DrawIOInterface property), [1], [2] (probabilistic_model.distributions.UnivariateDistribution property), [1], [2] (probabilistic_model.interfaces.drawio.drawio.DrawIOInterface property) (probabilistic_model.probabilistic_circuit.jax.Unit property), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit property) DrawIoExporter (class in probabilistic_model.interfaces.drawio.exporter) DrawIOInterface (class in probabilistic_model.distributions), [1], [2] (class in probabilistic_model.interfaces.drawio.drawio)

E

edges (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer attribute) (probabilistic_model.probabilistic_circuit.jax.ProductLayer attribute) edges() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) embed_sparse_array_in_nan_array() (in module probabilistic_model.probabilistic_circuit.jax) (in module probabilistic_model.probabilistic_circuit.jax.utils) empty_copy() (probabilistic_model.learning.jpt.jpt.JPT method) (probabilistic_model.learning.nyga_distribution.NygaDistribution method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method)

encode() (probabilistic_model.learning.jpt.variables.ScaledContinuous method) encode_full_evidence_event() (probabilistic_model.distributions.multinomial.MultinomialDistribution method) end_index (probabilistic_model.learning.nyga_distribution.InductionStep attribute) event_of_higher_density() (probabilistic_model.learning.nyga_distribution.NygaDistribution method) events_of_higher_density_product() (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ShallowProbabilisticCircuit method) events_of_higher_density_sum() (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ShallowProbabilisticCircuit method) expectation() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) expectation_trace_2d_surface() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) EXPECTATION_TRACE_COLOR (in module probabilistic_model.constants) EXPECTATION_TRACE_NAME (in module probabilistic_model.constants) (in module probabilistic_model.distributions) export() (probabilistic_model.interfaces.drawio.exporter.DrawIoExporter method)

F

features (probabilistic_model.learning.jpt.jpt.JPT attribute) fill_node_colors() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) filter_variable_map_by_self() (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method) fit() (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.distributions.SymbolicDistribution method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.SymbolicDistribution method), [1], [2] (probabilistic_model.learning.jpt.jpt.JPT method) (probabilistic_model.learning.nyga_distribution.NygaDistribution method) (probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit.ClassificationCircuit method) (probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit.ProbabilisticCircuit method)

fit_from_indices() (probabilistic_model.distributions.distributions.SymbolicDistribution method) (probabilistic_model.distributions.SymbolicDistribution method), [1], [2] forward() (probabilistic_model.probabilistic_circuit.jax.ProductUnit method) (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.InnerUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) from_mixture() (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.UnivariateDiscreteLeaf class method) from_nx() (probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit.ProbabilisticCircuit class method) from_other() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit class method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit class method) from_probabilistic_circuit() (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ShallowProbabilisticCircuit class method) from_uniform_mixture() (probabilistic_model.learning.nyga_distribution.NygaDistribution static method) FullEvidenceType (in module probabilistic_model.probabilistic_model) fully_factorized() (in module probabilistic_model.probabilistic_circuit.rx.helper)

G

GaussianDistribution (class in probabilistic_model.distributions) (class in probabilistic_model.distributions.gaussian) GaussianLayer (class in probabilistic_model.probabilistic_circuit.jax.gaussian_layer) generate_parameters() (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.Conditioner method) (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.LinearConditioner method)

graph (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork attribute) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit attribute), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit attribute)

H

has_edge() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method)

hash_remap (probabilistic_model.probabilistic_circuit.jax.inner_layer.NXConverterLayer attribute) (probabilistic_model.probabilistic_circuit.jax.NXConverterLayer attribute), [1], [2] HORIZONTAL (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.PlotAlignment attribute)

I

image (probabilistic_model.distributions.distributions.SymbolicDistribution property) (probabilistic_model.distributions.SymbolicDistribution property), [1], [2] (probabilistic_model.distributions.uniform.UniformDistribution property) (probabilistic_model.distributions.UniformDistribution property) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution property) impossible_condition_result (probabilistic_model.probabilistic_circuit.jax.Unit property), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit property) improvement_is_good_enough() (probabilistic_model.learning.nyga_distribution.InductionStep method) impurity (probabilistic_model.learning.jpt.jpt.JPT attribute) in_degree() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) in_edges() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) included_condition() (probabilistic_model.distributions.ContinuousDistributionWithFiniteSupport method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistributionWithFiniteSupport method) (probabilistic_model.probabilistic_circuit.jax.ContinuousLayerWithFiniteSupport method), [1] (probabilistic_model.probabilistic_circuit.jax.input_layer.ContinuousLayerWithFiniteSupport method) index (probabilistic_model.bayesian_network.bayesian_network.Node attribute) (probabilistic_model.probabilistic_circuit.jax.Unit attribute), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit attribute) indices (probabilistic_model.learning.jpt.jpt.JPT attribute) indices_from_simple_event() (probabilistic_model.distributions.multinomial.MultinomialDistribution method) induce() (probabilistic_model.learning.nyga_distribution.InductionStep method) InductionStep (class in probabilistic_model.learning.nyga_distribution) infer_signature() (in module probabilistic_model.interfaces.mlflow_integration) infer_variables_from_dataframe() (in module probabilistic_model.learning.jpt.variables) InnerLayer (class in probabilistic_model.probabilistic_circuit.jax) (class in probabilistic_model.probabilistic_circuit.jax.inner_layer) InnerUnit (class in probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit) InputLayer (class in probabilistic_model.probabilistic_circuit.jax), [1] (class in probabilistic_model.probabilistic_circuit.jax.inner_layer)

Integer (class in probabilistic_model.learning.jpt.variables) IntegerDistribution (class in probabilistic_model.distributions), [1], [2] (class in probabilistic_model.distributions.distributions) interval (probabilistic_model.distributions.ContinuousDistributionWithFiniteSupport attribute), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistributionWithFiniteSupport attribute) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution attribute) (probabilistic_model.distributions.TruncatedGaussianDistribution attribute) (probabilistic_model.distributions.uniform.UniformDistribution attribute) (probabilistic_model.distributions.UniformDistribution attribute) (probabilistic_model.probabilistic_circuit.jax.ContinuousLayerWithFiniteSupport attribute), [1] (probabilistic_model.probabilistic_circuit.jax.input_layer.ContinuousLayerWithFiniteSupport attribute) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution attribute) interval_as_array() (in module probabilistic_model.distributions), [1], [2] (in module probabilistic_model.utils) IntractableError inverse_class_of() (in module probabilistic_model.probabilistic_circuit.jax) (in module probabilistic_model.probabilistic_circuit.jax.inner_layer) is_decomposable() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.ProductUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit method) is_deterministic() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) is_leaf (probabilistic_model.probabilistic_circuit.jax.Unit property), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.InnerUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit property) is_valid() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method)

J

JPT (class in probabilistic_model.learning.jpt.jpt)

K

keep_sample_indices (probabilistic_model.learning.jpt.jpt.JPT attribute)

L

l1() (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ShallowProbabilisticCircuit method) l1_metric() (probabilistic_model.monte_carlo_estimator.MonteCarloEstimator method) l1_metric_but_with_uniform_measure() (probabilistic_model.monte_carlo_estimator.MonteCarloEstimator method) latent_variable (probabilistic_model.probabilistic_circuit.jax.SumUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit property) Layer (class in probabilistic_model.probabilistic_circuit.jax) (class in probabilistic_model.probabilistic_circuit.jax.inner_layer) layer (probabilistic_model.probabilistic_circuit.jax.inner_layer.NXConverterLayer attribute) (probabilistic_model.probabilistic_circuit.jax.NXConverterLayer attribute), [1], [2] layers (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit property), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit property) leaf() (in module probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit) LeafUnit (class in probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit) leaves (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork property) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit property), [1], [2] (probabilistic_model.probabilistic_circuit.jax.Unit property), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit property) left_connecting_point() (probabilistic_model.learning.nyga_distribution.InductionStep method) left_connecting_point_from_index() (probabilistic_model.learning.nyga_distribution.InductionStep method) left_included_condition() (probabilistic_model.distributions.ContinuousDistributionWithFiniteSupport method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistributionWithFiniteSupport method) (probabilistic_model.probabilistic_circuit.jax.ContinuousLayerWithFiniteSupport method), [1] (probabilistic_model.probabilistic_circuit.jax.input_layer.ContinuousLayerWithFiniteSupport method) likelihood() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) linear (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.LinearConditioner attribute) LinearConditioner (class in probabilistic_model.probabilistic_circuit.jax.coupling_circuit) load_context() (probabilistic_model.interfaces.mlflow_integration.ProbabilisticModelWrapper method) location (probabilistic_model.distributions.DiracDeltaDistribution attribute), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution attribute) (probabilistic_model.distributions.gaussian.GaussianDistribution attribute) (probabilistic_model.distributions.GaussianDistribution attribute) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution attribute) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaLayer attribute) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer attribute) (probabilistic_model.probabilistic_circuit.jax.input_layer.DiracDeltaLayer attribute) log_conditional() (probabilistic_model.distributions.ContinuousDistribution method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistribution method) (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) log_conditional_from_interval() (probabilistic_model.distributions.ContinuousDistribution method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistribution method) log_conditional_from_simple_interval() (probabilistic_model.distributions.ContinuousDistribution method), [1], [2] (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistribution method) (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) log_conditional_in_place() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) log_conditional_of_composite_set() (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.distributions.SymbolicDistribution method) (probabilistic_model.distributions.SymbolicDistribution method), [1], [2] log_forward() (probabilistic_model.probabilistic_circuit.jax.ProductUnit method) (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.InnerUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) log_forward_conditioning() (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) log_likelihood() (probabilistic_model.distributions.ContinuousDistributionWithFiniteSupport method), [1], [2] (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistributionWithFiniteSupport method) (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method)

log_likelihood_of_nodes() (probabilistic_model.probabilistic_circuit.jax.DiracDeltaLayer method) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer method) (probabilistic_model.probabilistic_circuit.jax.input_layer.DiracDeltaLayer method) (probabilistic_model.probabilistic_circuit.jax.Layer method) (probabilistic_model.probabilistic_circuit.jax.uniform_layer.UniformLayer method) (probabilistic_model.probabilistic_circuit.jax.UniformLayer method) log_likelihood_of_nodes_single() (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaLayer method) (probabilistic_model.probabilistic_circuit.jax.discrete_layer.DiscreteLayer method) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.input_layer.DiracDeltaLayer method) (probabilistic_model.probabilistic_circuit.jax.Layer method) (probabilistic_model.probabilistic_circuit.jax.ProductLayer method) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.uniform_layer.UniformLayer method) (probabilistic_model.probabilistic_circuit.jax.UniformLayer method) log_likelihood_of_split_side() (probabilistic_model.learning.nyga_distribution.InductionStep method) log_likelihood_without_bounds_check() (probabilistic_model.distributions.ContinuousDistributionWithFiniteSupport method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistributionWithFiniteSupport method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.TruncatedGaussianDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) log_likelihood_without_split() (probabilistic_model.learning.nyga_distribution.InductionStep method) log_mode() (probabilistic_model.distributions.distributions.UnivariateDistribution method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.distributions.UnivariateDistribution method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.ProductUnit method) (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) log_normalization_constant (probabilistic_model.probabilistic_circuit.jax.discrete_layer.DiscreteLayer property) log_normalization_constants (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer property) log_pdf_value() (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.uniform_layer.UniformLayer method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.UniformLayer method) log_probabilities (probabilistic_model.probabilistic_circuit.jax.discrete_layer.DiscreteLayer attribute) log_scale (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer attribute) log_truncated() (probabilistic_model.distributions.ContinuousDistribution method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistribution method) (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.distributions.IntegerDistribution method) (probabilistic_model.distributions.IntegerDistribution method), [1], [2] (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) log_truncated_in_place() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) log_truncated_of_simple_event_in_place() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.UnivariateContinuousLeaf method), [1] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.UnivariateContinuousLeaf method) log_weighted_child_layers (probabilistic_model.probabilistic_circuit.jax.inner_layer.SumLayer property) (probabilistic_model.probabilistic_circuit.jax.SumLayer property) log_weighted_subcircuits (probabilistic_model.probabilistic_circuit.jax.SumUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit property) log_weights (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer attribute) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer attribute) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer attribute) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SumLayer attribute) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer attribute) (probabilistic_model.probabilistic_circuit.jax.SumLayer attribute) (probabilistic_model.probabilistic_circuit.jax.SumUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit property) lower (probabilistic_model.distributions.ContinuousDistributionWithFiniteSupport property), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistributionWithFiniteSupport property) (probabilistic_model.probabilistic_circuit.jax.ContinuousLayerWithFiniteSupport property), [1] (probabilistic_model.probabilistic_circuit.jax.input_layer.ContinuousLayerWithFiniteSupport property)

M

make_dirac() (in module probabilistic_model.distributions.helper) marginal() (probabilistic_model.distributions.distributions.UnivariateDistribution method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.distributions.UnivariateDistribution method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.InnerUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) marginal_in_place() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) max_depth (probabilistic_model.learning.jpt.jpt.JPT attribute) max_leaves (probabilistic_model.learning.jpt.jpt.JPT attribute) mean (probabilistic_model.learning.jpt.variables.Continuous attribute) (probabilistic_model.learning.jpt.variables.Integer attribute) min_impurity_improvement (probabilistic_model.learning.jpt.jpt.JPT attribute) min_likelihood_improvement (probabilistic_model.learning.jpt.variables.Continuous attribute) (probabilistic_model.learning.nyga_distribution.InductionStep property) (probabilistic_model.learning.nyga_distribution.NygaDistribution attribute) min_samples_leaf (probabilistic_model.learning.jpt.jpt.JPT property) min_samples_per_quantile (probabilistic_model.learning.jpt.variables.Continuous attribute) (probabilistic_model.learning.nyga_distribution.InductionStep property) (probabilistic_model.learning.nyga_distribution.NygaDistribution attribute) min_scale (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer attribute) minimal_distance (probabilistic_model.learning.jpt.variables.Continuous attribute) MissingDict (class in probabilistic_model.distributions), [1], [2] (class in probabilistic_model.utils) mode() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) MODE_TRACE_COLOR (in module probabilistic_model.constants) (in module probabilistic_model.distributions) MODE_TRACE_NAME (in module probabilistic_model.constants) (in module probabilistic_model.distributions) model (probabilistic_model.interfaces.drawio.exporter.DrawIoExporter attribute) (probabilistic_model.interfaces.mlflow_integration.ProbabilisticModelWrapper attribute) (probabilistic_model.monte_carlo_estimator.MonteCarloEstimator attribute) module probabilistic_model probabilistic_model.bayesian_network probabilistic_model.bayesian_network.bayesian_network probabilistic_model.constants probabilistic_model.distributions probabilistic_model.distributions.distributions probabilistic_model.distributions.gaussian probabilistic_model.distributions.helper probabilistic_model.distributions.multinomial probabilistic_model.distributions.uniform probabilistic_model.error probabilistic_model.interfaces probabilistic_model.interfaces.drawio probabilistic_model.interfaces.drawio.drawio probabilistic_model.interfaces.drawio.exporter probabilistic_model.interfaces.mlflow_integration probabilistic_model.learning probabilistic_model.learning.jpt probabilistic_model.learning.jpt.jpt probabilistic_model.learning.jpt.variables probabilistic_model.learning.nyga_distribution probabilistic_model.learning.region_graph probabilistic_model.learning.region_graph.region_graph probabilistic_model.monte_carlo_estimator probabilistic_model.probabilistic_circuit probabilistic_model.probabilistic_circuit.jax probabilistic_model.probabilistic_circuit.jax.coupling_circuit probabilistic_model.probabilistic_circuit.jax.discrete_layer probabilistic_model.probabilistic_circuit.jax.gaussian_layer probabilistic_model.probabilistic_circuit.jax.inner_layer probabilistic_model.probabilistic_circuit.jax.input_layer probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit probabilistic_model.probabilistic_circuit.jax.uniform_layer probabilistic_model.probabilistic_circuit.jax.utils probabilistic_model.probabilistic_circuit.rx probabilistic_model.probabilistic_circuit.rx.helper probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit probabilistic_model.probabilistic_model probabilistic_model.utils

moment (probabilistic_model.probabilistic_circuit.jax.ProductUnit attribute) (probabilistic_model.probabilistic_circuit.jax.SumUnit attribute) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit attribute) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit attribute) moment() (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.IntegerDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.IntegerDistribution method), [1], [2] (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.distributions.TruncatedGaussianDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) MonteCarloEstimator (class in probabilistic_model.monte_carlo_estimator) mount() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) mount_from_bayesian_network() (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) mount_with_interaction_terms() (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) MultinomialDistribution (class in probabilistic_model.distributions.multinomial) multivariate_mode_traces() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method)

N

neighbouring_points() (in module probabilistic_model.utils) Node (class in probabilistic_model.bayesian_network.bayesian_network) nodes (probabilistic_model.probabilistic_circuit.jax.inner_layer.NXConverterLayer attribute) (probabilistic_model.probabilistic_circuit.jax.NXConverterLayer attribute), [1], [2] nodes() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) nodes_weights() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) normalize() (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) normalized_log_probabilities (probabilistic_model.probabilistic_circuit.jax.discrete_layer.DiscreteLayer property) normalized_weights (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer property) normalizing_constant (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution property) (probabilistic_model.distributions.TruncatedGaussianDistribution property) number_of_components (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer property) (probabilistic_model.probabilistic_circuit.jax.Layer property) (probabilistic_model.probabilistic_circuit.jax.ProductLayer property) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer property) number_of_nodes (probabilistic_model.probabilistic_circuit.jax.DiracDeltaLayer property) (probabilistic_model.probabilistic_circuit.jax.discrete_layer.DiscreteLayer property) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SumLayer property) (probabilistic_model.probabilistic_circuit.jax.input_layer.DiracDeltaLayer property) (probabilistic_model.probabilistic_circuit.jax.Layer property) (probabilistic_model.probabilistic_circuit.jax.ProductLayer property) (probabilistic_model.probabilistic_circuit.jax.SumLayer property) (probabilistic_model.probabilistic_circuit.jax.uniform_layer.UniformLayer property) (probabilistic_model.probabilistic_circuit.jax.UniformLayer property)

number_of_samples (probabilistic_model.learning.nyga_distribution.InductionStep property) number_of_trainable_parameters (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer property) (probabilistic_model.probabilistic_circuit.jax.Layer property) numeric_features (probabilistic_model.learning.jpt.jpt.JPT property) numeric_targets (probabilistic_model.learning.jpt.jpt.JPT property) numeric_variables (probabilistic_model.learning.jpt.jpt.JPT property) nx_classes() (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaLayer class method) (probabilistic_model.probabilistic_circuit.jax.discrete_layer.DiscreteLayer class method) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer class method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer class method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer class method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.input_layer.DiracDeltaLayer class method) (probabilistic_model.probabilistic_circuit.jax.Layer class method) (probabilistic_model.probabilistic_circuit.jax.ProductLayer class method) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer class method) (probabilistic_model.probabilistic_circuit.jax.uniform_layer.UniformLayer class method) (probabilistic_model.probabilistic_circuit.jax.UniformLayer class method) NXConverterLayer (class in probabilistic_model.probabilistic_circuit.jax), [1], [2] (class in probabilistic_model.probabilistic_circuit.jax.inner_layer) NXProbabilisticCircuit (class in probabilistic_model.probabilistic_circuit.jax), [1], [2] nyga_distribution (probabilistic_model.learning.nyga_distribution.InductionStep attribute) NygaDistribution (class in probabilistic_model.learning.nyga_distribution)

O

OrderType (in module probabilistic_model.distributions), [1], [2] (in module probabilistic_model.probabilistic_model)

output_length (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.Conditioner property) (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.LinearConditioner property)

P

PADDING_FACTOR_FOR_X_AXIS_IN_PLOT (in module probabilistic_model.constants) (in module probabilistic_model.distributions) parameters_from_json() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit class method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit class method) parent (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilisticCircuit property) (probabilistic_model.bayesian_network.bayesian_network.Node property) parents (probabilistic_model.probabilistic_circuit.jax.Unit property), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit property) Partition (class in probabilistic_model.learning.region_graph.region_graph) partition() (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer method) (probabilistic_model.probabilistic_circuit.jax.Layer method) partition_circuit() (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.CouplingCircuit method) partition_nodes() (probabilistic_model.learning.region_graph.region_graph.RegionGraph method) partitions (probabilistic_model.learning.region_graph.region_graph.RegionGraph attribute) pdf_trace() (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) PDF_TRACE_COLOR (in module probabilistic_model.constants) (in module probabilistic_model.distributions) PDF_TRACE_NAME (in module probabilistic_model.constants) (in module probabilistic_model.distributions) pdf_value() (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) PGM plot() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.distributions.IntegerDistribution method) (probabilistic_model.distributions.IntegerDistribution method), [1], [2] (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) plot_1d_numeric() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) plot_1d_symbolic() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) plot_2d() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) plot_2d_surface() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) plot_2d_surface_of_simple_event() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) plot_3d() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) plot_structure() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) PlotAlignment (class in probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit) plotly_layout() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) plotly_layout_1d() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) plotly_layout_2d() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) plotly_layout_3d() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) ppf() (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) predecessors() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) predict() (probabilistic_model.interfaces.mlflow_integration.ProbabilisticModelWrapper method) preprocess_data() (probabilistic_model.learning.jpt.jpt.JPT method) probabilistic_circuit (probabilistic_model.learning.jpt.jpt.JPT attribute) (probabilistic_model.learning.nyga_distribution.NygaDistribution attribute) (probabilistic_model.probabilistic_circuit.jax.Unit attribute), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit attribute) probabilistic_model module probabilistic_model.bayesian_network module probabilistic_model.bayesian_network.bayesian_network module probabilistic_model.constants module probabilistic_model.distributions module probabilistic_model.distributions.distributions module probabilistic_model.distributions.gaussian module probabilistic_model.distributions.helper module probabilistic_model.distributions.multinomial module probabilistic_model.distributions.uniform module probabilistic_model.error module

probabilistic_model.interfaces module probabilistic_model.interfaces.drawio module probabilistic_model.interfaces.drawio.drawio module probabilistic_model.interfaces.drawio.exporter module probabilistic_model.interfaces.mlflow_integration module probabilistic_model.learning module probabilistic_model.learning.jpt module probabilistic_model.learning.jpt.jpt module probabilistic_model.learning.jpt.variables module probabilistic_model.learning.nyga_distribution module probabilistic_model.learning.region_graph module probabilistic_model.learning.region_graph.region_graph module probabilistic_model.monte_carlo_estimator module probabilistic_model.probabilistic_circuit module probabilistic_model.probabilistic_circuit.jax module probabilistic_model.probabilistic_circuit.jax.coupling_circuit module probabilistic_model.probabilistic_circuit.jax.discrete_layer module probabilistic_model.probabilistic_circuit.jax.gaussian_layer module probabilistic_model.probabilistic_circuit.jax.inner_layer module probabilistic_model.probabilistic_circuit.jax.input_layer module probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit module probabilistic_model.probabilistic_circuit.jax.uniform_layer module probabilistic_model.probabilistic_circuit.jax.utils module probabilistic_model.probabilistic_circuit.rx module probabilistic_model.probabilistic_circuit.rx.helper module probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit module probabilistic_model.probabilistic_model module probabilistic_model.utils module ProbabilisticCircuit (class in probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit) (class in probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit) ProbabilisticModel (class in probabilistic_model.distributions), [1], [2] (class in probabilistic_model.probabilistic_model) ProbabilisticModelWrapper (class in probabilistic_model.interfaces.mlflow_integration) probabilities (probabilistic_model.distributions.DiscreteDistribution attribute), [1], [2] (probabilistic_model.distributions.distributions.DiscreteDistribution attribute) (probabilistic_model.distributions.multinomial.MultinomialDistribution attribute) probabilities_for_plotting() (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.distributions.IntegerDistribution method) (probabilistic_model.distributions.distributions.SymbolicDistribution method) (probabilistic_model.distributions.IntegerDistribution method), [1], [2] (probabilistic_model.distributions.SymbolicDistribution method), [1], [2] probabilities_from_simple_event() (probabilistic_model.distributions.multinomial.MultinomialDistribution method) probability() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) probability_of_simple_event() (probabilistic_model.distributions.ContinuousDistribution method), [1], [2] (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistribution method) (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.IntegerDistribution method) (probabilistic_model.distributions.distributions.SymbolicDistribution method) (probabilistic_model.distributions.IntegerDistribution method), [1], [2] (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.distributions.SymbolicDistribution method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) product_units (probabilistic_model.bayesian_network.bayesian_network.Node attribute) ProductLayer (class in probabilistic_model.probabilistic_circuit.jax) (class in probabilistic_model.probabilistic_circuit.jax.inner_layer) ProductUnit (class in probabilistic_model.probabilistic_circuit.jax) (class in probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit)

R

random_partition() (probabilistic_model.learning.region_graph.region_graph.Region method) raw_moment() (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) recursive_split() (probabilistic_model.learning.region_graph.region_graph.RegionGraph method) Region (class in probabilistic_model.learning.region_graph.region_graph) RegionGraph (class in probabilistic_model.learning.region_graph.region_graph) regions() (probabilistic_model.learning.region_graph.region_graph.RegionGraph method) rejection_sample() (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.TruncatedGaussianDistribution method) remove_edge() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) remove_edges_from() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) remove_node() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) remove_node_and_successor_structure() (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ShallowProbabilisticCircuit method) remove_nodes_from() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) remove_rows_and_cols_where_all() (in module probabilistic_model.probabilistic_circuit.jax) (in module probabilistic_model.probabilistic_circuit.jax.utils) remove_unreachable_nodes() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) repetitions (probabilistic_model.learning.region_graph.region_graph.RegionGraph attribute) replace_discrete_distribution_with_deterministic_sum() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) representation (probabilistic_model.distributions.DiracDeltaDistribution property), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution property) (probabilistic_model.distributions.distributions.IntegerDistribution property) (probabilistic_model.distributions.distributions.SymbolicDistribution property) (probabilistic_model.distributions.gaussian.GaussianDistribution property) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution property) (probabilistic_model.distributions.GaussianDistribution property) (probabilistic_model.distributions.IntegerDistribution property), [1], [2] (probabilistic_model.distributions.ProbabilisticModel property), [1], [2] (probabilistic_model.distributions.SymbolicDistribution property), [1], [2] (probabilistic_model.distributions.TruncatedGaussianDistribution property) (probabilistic_model.distributions.uniform.UniformDistribution property) (probabilistic_model.distributions.UniformDistribution property) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution property) (probabilistic_model.probabilistic_circuit.jax.ProductUnit attribute) (probabilistic_model.probabilistic_circuit.jax.SumUnit property) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit attribute) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit property) (probabilistic_model.probabilistic_model.ProbabilisticModel property)

reset_variables() (probabilistic_model.probabilistic_circuit.jax.inner_layer.InnerLayer method) (probabilistic_model.probabilistic_circuit.jax.InnerLayer method) result_of_current_query (probabilistic_model.probabilistic_circuit.jax.Unit attribute), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit attribute) right_connecting_point() (probabilistic_model.learning.nyga_distribution.InductionStep method) right_connecting_point_from_index() (probabilistic_model.learning.nyga_distribution.InductionStep method) right_included_condition() (probabilistic_model.distributions.ContinuousDistributionWithFiniteSupport method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistributionWithFiniteSupport method) (probabilistic_model.probabilistic_circuit.jax.ContinuousLayerWithFiniteSupport method), [1] (probabilistic_model.probabilistic_circuit.jax.input_layer.ContinuousLayerWithFiniteSupport method) robert_rejection_sample() (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.TruncatedGaussianDistribution method) robert_rejection_sample_from_standard_normal_with_double_truncation() (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.TruncatedGaussianDistribution method) robert_rejection_sample_from_standard_normal_with_double_truncation_helper() (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.TruncatedGaussianDistribution method) Root (class in probabilistic_model.bayesian_network.bayesian_network) root (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork property) (probabilistic_model.bayesian_network.bayesian_network.Root attribute) (probabilistic_model.learning.jpt.jpt.JPT attribute) (probabilistic_model.learning.region_graph.region_graph.RegionGraph property) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit property), [1], [2] (probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit.ProbabilisticCircuit attribute) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit property)

S

sample() (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.distributions.TruncatedGaussianDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.ProductUnit method) (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) sample_from_sparse_probabilities_csc() (in module probabilistic_model.probabilistic_circuit.jax) (in module probabilistic_model.probabilistic_circuit.jax.utils) sample_size (probabilistic_model.monte_carlo_estimator.MonteCarloEstimator attribute) SAMPLES_TRACE_NAME (in module probabilistic_model.constants) scale (probabilistic_model.distributions.gaussian.GaussianDistribution attribute) (probabilistic_model.distributions.GaussianDistribution attribute) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer property) scale() (probabilistic_model.distributions.ContinuousDistributionWithFiniteSupport method), [1], [2] (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistributionWithFiniteSupport method) (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.IntegerDistribution method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.IntegerDistribution method), [1], [2] (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.distributions.TruncatedGaussianDistribution method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) ScaledContinuous (class in probabilistic_model.learning.jpt.variables) SCALING_FACTOR_FOR_EXPECTATION_IN_PLOT (in module probabilistic_model.constants) (in module probabilistic_model.distributions), [1], [2] set_targets_and_features() (probabilistic_model.learning.jpt.jpt.JPT method) set_variables() (probabilistic_model.probabilistic_circuit.jax.inner_layer.InnerLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.InputLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer method) (probabilistic_model.probabilistic_circuit.jax.InnerLayer method) (probabilistic_model.probabilistic_circuit.jax.InputLayer method), [1] (probabilistic_model.probabilistic_circuit.jax.Layer method) shallowing() (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ShallowProbabilisticCircuit method) ShallowProbabilisticCircuit (class in probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit) shrink_index_array() (in module probabilistic_model.probabilistic_circuit.jax) (in module probabilistic_model.probabilistic_circuit.jax.utils)

simple_interval_as_array() (in module probabilistic_model.distributions) (in module probabilistic_model.utils) simple_interval_to_open_array() (in module probabilistic_model.probabilistic_circuit.jax), [1] (in module probabilistic_model.probabilistic_circuit.jax.utils) simplify() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.ProductUnit method) (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method) slices_of_parameters_for_flat_model (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.CouplingCircuit property) sparse_remove_rows_and_cols_where_all() (in module probabilistic_model.probabilistic_circuit.jax) (in module probabilistic_model.probabilistic_circuit.jax.utils) SparseSumLayer (class in probabilistic_model.probabilistic_circuit.jax) (class in probabilistic_model.probabilistic_circuit.jax.inner_layer) std (probabilistic_model.learning.jpt.variables.Continuous attribute) (probabilistic_model.learning.jpt.variables.Integer attribute) subcircuit_index_of_samples() (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) subcircuits (probabilistic_model.probabilistic_circuit.jax.Unit property), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit property) subgraph_of() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) successors() (probabilistic_model.bayesian_network.bayesian_network.BayesianNetwork method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) sum_log_weights() (probabilistic_model.learning.nyga_distribution.InductionStep method) sum_log_weights_from_indices() (probabilistic_model.learning.nyga_distribution.InductionStep method) sum_weights() (probabilistic_model.learning.nyga_distribution.InductionStep method) sum_weights_from_indices() (probabilistic_model.learning.nyga_distribution.InductionStep method) SumLayer (class in probabilistic_model.probabilistic_circuit.jax) (class in probabilistic_model.probabilistic_circuit.jax.inner_layer) SumUnit (class in probabilistic_model.probabilistic_circuit.jax) (class in probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit) support (probabilistic_model.distributions.distributions.UnivariateDistribution property) (probabilistic_model.distributions.multinomial.MultinomialDistribution property) (probabilistic_model.distributions.ProbabilisticModel property), [1], [2] (probabilistic_model.distributions.UnivariateDistribution property), [1], [2] (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit property), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit property) (probabilistic_model.probabilistic_model.ProbabilisticModel property) support() (probabilistic_model.probabilistic_circuit.jax.ProductUnit method) (probabilistic_model.probabilistic_circuit.jax.SumUnit method) (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method) symbolic_features (probabilistic_model.learning.jpt.jpt.JPT property) symbolic_targets (probabilistic_model.learning.jpt.jpt.JPT property) symbolic_variables (probabilistic_model.learning.jpt.jpt.JPT property) SymbolicDistribution (class in probabilistic_model.distributions), [1], [2] (class in probabilistic_model.distributions.distributions)

T

targets (probabilistic_model.learning.jpt.jpt.JPT attribute) timeit() (in module probabilistic_model.utils) timeit_print() (in module probabilistic_model.probabilistic_circuit.jax) (in module probabilistic_model.utils) to_json() (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.DiscreteDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.DiscreteDistribution method) (probabilistic_model.distributions.distributions.SymbolicDistribution method) (probabilistic_model.distributions.distributions.UnivariateDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) (probabilistic_model.distributions.SymbolicDistribution method), [1], [2] (probabilistic_model.distributions.TruncatedGaussianDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.distributions.UnivariateDistribution method), [1], [2] (probabilistic_model.learning.jpt.jpt.JPT method) (probabilistic_model.learning.jpt.variables.Continuous method) (probabilistic_model.learning.jpt.variables.Integer method) (probabilistic_model.learning.nyga_distribution.NygaDistribution method) (probabilistic_model.probabilistic_circuit.jax.ContinuousLayerWithFiniteSupport method), [1] (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaLayer method) (probabilistic_model.probabilistic_circuit.jax.discrete_layer.DiscreteLayer method) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.InnerLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.InputLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.InnerLayer method) (probabilistic_model.probabilistic_circuit.jax.input_layer.ContinuousLayerWithFiniteSupport method) (probabilistic_model.probabilistic_circuit.jax.input_layer.DiracDeltaLayer method) (probabilistic_model.probabilistic_circuit.jax.InputLayer method), [1] (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.jax.ProductLayer method) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method)

to_nx() (probabilistic_model.probabilistic_circuit.jax.DenseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaLayer method) (probabilistic_model.probabilistic_circuit.jax.discrete_layer.DiscreteLayer method) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.DenseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SparseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.input_layer.DiracDeltaLayer method) (probabilistic_model.probabilistic_circuit.jax.Layer method) (probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit.ClassificationCircuit method) (probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.jax.ProductLayer method) (probabilistic_model.probabilistic_circuit.jax.SparseSumLayer method) (probabilistic_model.probabilistic_circuit.jax.uniform_layer.UniformLayer method) (probabilistic_model.probabilistic_circuit.jax.UniformLayer method) to_tabulate() (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilityTable method) (probabilistic_model.distributions.multinomial.MultinomialDistribution method) tolerance (probabilistic_model.distributions.DiracDeltaDistribution attribute), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution attribute) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution attribute) total_log_weights (probabilistic_model.learning.nyga_distribution.InductionStep property) total_samples (probabilistic_model.learning.jpt.jpt.JPT attribute) total_weights (probabilistic_model.learning.nyga_distribution.InductionStep property) transform_to_standard_normal() (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.TruncatedGaussianDistribution method) translate() (probabilistic_model.distributions.ContinuousDistributionWithFiniteSupport method), [1], [2] (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistributionWithFiniteSupport method) (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.IntegerDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.IntegerDistribution method), [1], [2] (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.distributions.TruncatedGaussianDistribution method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_model.ProbabilisticModel method) truncated() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) TruncatedGaussianDistribution (class in probabilistic_model.distributions) (class in probabilistic_model.distributions.gaussian)

U

UndefinedOperationError uniform_measure_of_event() (in module probabilistic_model.probabilistic_circuit.rx.helper) uniform_measure_of_simple_event() (in module probabilistic_model.probabilistic_circuit.rx.helper) UniformDistribution (class in probabilistic_model.distributions) (class in probabilistic_model.distributions.uniform) (class in probabilistic_model.probabilistic_circuit.jax) UniformLayer (class in probabilistic_model.probabilistic_circuit.jax) (class in probabilistic_model.probabilistic_circuit.jax.uniform_layer) Unit (class in probabilistic_model.probabilistic_circuit.jax), [1], [2] (class in probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit) univariate_complement_of_support_trace() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) univariate_expectation_trace() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) univariate_log_mode() (probabilistic_model.distributions.DiracDeltaDistribution method), [1], [2] (probabilistic_model.distributions.distributions.DiracDeltaDistribution method) (probabilistic_model.distributions.distributions.IntegerDistribution method) (probabilistic_model.distributions.distributions.SymbolicDistribution method) (probabilistic_model.distributions.distributions.UnivariateDistribution method) (probabilistic_model.distributions.gaussian.GaussianDistribution method) (probabilistic_model.distributions.gaussian.TruncatedGaussianDistribution method) (probabilistic_model.distributions.GaussianDistribution method) (probabilistic_model.distributions.IntegerDistribution method), [1], [2] (probabilistic_model.distributions.SymbolicDistribution method), [1], [2] (probabilistic_model.distributions.TruncatedGaussianDistribution method) (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.distributions.UnivariateDistribution method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method) univariate_log_truncated_of_simple_event_in_place() (probabilistic_model.probabilistic_circuit.jax.UnivariateContinuousLeaf method), [1] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.UnivariateContinuousLeaf method)

univariate_mode_traces() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) univariate_support (probabilistic_model.distributions.ContinuousDistribution property), [1], [2] (probabilistic_model.distributions.ContinuousDistributionWithFiniteSupport property), [1], [2] (probabilistic_model.distributions.DiracDeltaDistribution property), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistribution property) (probabilistic_model.distributions.distributions.ContinuousDistributionWithFiniteSupport property) (probabilistic_model.distributions.distributions.DiracDeltaDistribution property) (probabilistic_model.distributions.distributions.IntegerDistribution property) (probabilistic_model.distributions.distributions.SymbolicDistribution property) (probabilistic_model.distributions.distributions.UnivariateDistribution property) (probabilistic_model.distributions.gaussian.GaussianDistribution property) (probabilistic_model.distributions.GaussianDistribution property) (probabilistic_model.distributions.IntegerDistribution property), [1], [2] (probabilistic_model.distributions.SymbolicDistribution property), [1], [2] (probabilistic_model.distributions.UnivariateDistribution property), [1], [2] (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution property) UnivariateContinuousLeaf (class in probabilistic_model.probabilistic_circuit.jax), [1] (class in probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit) UnivariateDiscreteLeaf (class in probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit) UnivariateDistribution (class in probabilistic_model.distributions), [1], [2] (class in probabilistic_model.distributions.distributions) UnivariateLeaf (class in probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit) universal_simple_event() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) update_variables() (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit method), [1], [2] (probabilistic_model.probabilistic_circuit.jax.Unit method), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit method) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit method) upper (probabilistic_model.distributions.ContinuousDistributionWithFiniteSupport property), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistributionWithFiniteSupport property) (probabilistic_model.probabilistic_circuit.jax.ContinuousLayerWithFiniteSupport property), [1] (probabilistic_model.probabilistic_circuit.jax.input_layer.ContinuousLayerWithFiniteSupport property)

V

validate() (probabilistic_model.probabilistic_circuit.jax.coupling_circuit.CouplingCircuit method) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaLayer method) (probabilistic_model.probabilistic_circuit.jax.discrete_layer.DiscreteLayer method) (probabilistic_model.probabilistic_circuit.jax.gaussian_layer.GaussianLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer method) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SumLayer method) (probabilistic_model.probabilistic_circuit.jax.input_layer.DiracDeltaLayer method) (probabilistic_model.probabilistic_circuit.jax.Layer method) (probabilistic_model.probabilistic_circuit.jax.ProductLayer method) (probabilistic_model.probabilistic_circuit.jax.SumLayer method) (probabilistic_model.probabilistic_circuit.jax.uniform_layer.UniformLayer method) (probabilistic_model.probabilistic_circuit.jax.UniformLayer method) variable (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilityTable property) (probabilistic_model.bayesian_network.bayesian_network.Root property) (probabilistic_model.distributions.ContinuousDistribution attribute), [1], [2] (probabilistic_model.distributions.DiracDeltaDistribution attribute), [1], [2] (probabilistic_model.distributions.DiscreteDistribution attribute), [1], [2] (probabilistic_model.distributions.distributions.ContinuousDistribution attribute) (probabilistic_model.distributions.distributions.DiracDeltaDistribution attribute) (probabilistic_model.distributions.distributions.DiscreteDistribution attribute) (probabilistic_model.distributions.distributions.IntegerDistribution attribute) (probabilistic_model.distributions.distributions.SymbolicDistribution attribute) (probabilistic_model.distributions.distributions.UnivariateDistribution attribute) (probabilistic_model.distributions.gaussian.GaussianDistribution attribute) (probabilistic_model.distributions.GaussianDistribution attribute) (probabilistic_model.distributions.IntegerDistribution attribute), [1], [2] (probabilistic_model.distributions.SymbolicDistribution attribute), [1], [2] (probabilistic_model.distributions.uniform.UniformDistribution attribute) (probabilistic_model.distributions.UniformDistribution attribute) (probabilistic_model.distributions.UnivariateDistribution attribute), [1], [2] (probabilistic_model.learning.nyga_distribution.InductionStep property) (probabilistic_model.learning.nyga_distribution.NygaDistribution attribute) (probabilistic_model.probabilistic_circuit.jax.DiracDeltaDistribution attribute) (probabilistic_model.probabilistic_circuit.jax.inner_layer.InputLayer property) (probabilistic_model.probabilistic_circuit.jax.InputLayer property), [1] (probabilistic_model.probabilistic_circuit.jax.UniformDistribution attribute) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.UnivariateLeaf property)

variable_to_index_map (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit property), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit property) variables (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilisticCircuit property) (probabilistic_model.bayesian_network.bayesian_network.ConditionalProbabilityTable property) (probabilistic_model.bayesian_network.bayesian_network.Node property) (probabilistic_model.bayesian_network.bayesian_network.Root property) (probabilistic_model.distributions.distributions.UnivariateDistribution property) (probabilistic_model.distributions.multinomial.MultinomialDistribution property) (probabilistic_model.distributions.ProbabilisticModel property), [1], [2] (probabilistic_model.distributions.UnivariateDistribution property), [1], [2] (probabilistic_model.learning.jpt.jpt.JPT attribute) (probabilistic_model.learning.region_graph.region_graph.Region attribute) (probabilistic_model.learning.region_graph.region_graph.RegionGraph attribute) (probabilistic_model.probabilistic_circuit.jax.inner_layer.InputLayer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.Layer property) (probabilistic_model.probabilistic_circuit.jax.inner_layer.SumLayer property) (probabilistic_model.probabilistic_circuit.jax.InputLayer property), [1] (probabilistic_model.probabilistic_circuit.jax.Layer property) (probabilistic_model.probabilistic_circuit.jax.NXProbabilisticCircuit property), [1], [2] (probabilistic_model.probabilistic_circuit.jax.probabilistic_circuit.ProbabilisticCircuit attribute) (probabilistic_model.probabilistic_circuit.jax.ProductUnit property) (probabilistic_model.probabilistic_circuit.jax.SumLayer property) (probabilistic_model.probabilistic_circuit.jax.SumUnit property) (probabilistic_model.probabilistic_circuit.jax.Unit property), [1], [2] (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.LeafUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProbabilisticCircuit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.ProductUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.SumUnit property) (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.Unit property) (probabilistic_model.probabilistic_model.ProbabilisticModel property) variables() (probabilistic_model.probabilistic_circuit.jax.inner_layer.ProductLayer method) (probabilistic_model.probabilistic_circuit.jax.ProductLayer method) variance() (probabilistic_model.distributions.ProbabilisticModel method), [1], [2] (probabilistic_model.probabilistic_model.ProbabilisticModel method) VERTICAL (probabilistic_model.probabilistic_circuit.rx.probabilistic_circuit.PlotAlignment attribute)

W

weights (probabilistic_model.learning.jpt.jpt.JPT attribute)

X

x_axis_points_for_plotly() (probabilistic_model.distributions.uniform.UniformDistribution method) (probabilistic_model.distributions.UniformDistribution method) (probabilistic_model.probabilistic_circuit.jax.UniformDistribution method)