Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 123]

Cnlohmann::adl_serializer< ppforest2::Forest >
Cnlohmann::adl_serializer< ppforest2::serialization::Export< ppforest2::Forest > >
Cnlohmann::adl_serializer< ppforest2::serialization::Export< ppforest2::Model::Ptr > >
Cnlohmann::adl_serializer< ppforest2::serialization::Export< ppforest2::Tree > >
Cnlohmann::adl_serializer< ppforest2::stats::ConfusionMatrix >
Cnlohmann::adl_serializer< ppforest2::Tree >
Cnlohmann::adl_serializer< ppforest2::VariableImportance >
Cppforest2::cli::BenchmarkParams	Benchmark-specific options
Cppforest2::cli::BenchmarkSuite	A suite of scenarios with shared defaults
Cppforest2::viz::BoundarySegment	A clipped decision boundary line segment in 2D feature space
Cppforest2::cli::CLIOptions	All CLI options and runtime parameters
Cppforest2::io::layout::Column	Column definition for table formatting
Cppforest2::io::ConfigDisplayHints	Optional display hints for print_configuration
Cppforest2::stats::ConfusionMatrix	A confusion matrix comparing predicted vs actual group labels
Cppforest2::cli::ConvergenceCriteria	Convergence criteria for adaptive stopping in benchmarks
Cppforest2::cli::ConvergenceParams	Convergence and iteration control (evaluate + benchmark)
Cppforest2::stats::DataPacket	Bundled dataset: features, responses, and group labels
Cppforest2::dr::DRResult	Result of a dimensionality reduction step
Cppforest2::cli::EvaluateParams	Evaluate-specific options
Cppforest2::serialization::Export< T >	A model bundled with its export metadata and optional metrics
Cppforest2::stats::GroupPartition	Contiguous-block representation of grouped observations
Cppforest2::viz::HalfSpace	A half-space constraint derived from an ancestor split
Cppforest2::viz::LayoutEdge	An edge between two positioned nodes with a threshold label
Cppforest2::viz::LayoutNode	A positioned tree node in the computed layout
Cppforest2::viz::LayoutParams	Layout parameters for tree structure rendering
▼Cppforest2::Model	Abstract base class for predictive models (trees and forests)
Cppforest2::Forest	A projection pursuit random forest
▼Cppforest2::Tree	A single projection pursuit decision tree
Cppforest2::BootstrapTree
Cppforest2::cli::ModelParams	Model training parameters shared by train and evaluate
Cppforest2::io::ModelStats	Aggregated statistics across multiple training iterations
Cppforest2::viz::NodeData	Per-node data collected by routing observations through the tree
Cppforest2::stats::Normal	Normal (Gaussian) random number generator
Cppforest2::io::Output	Quiet-aware, indentation-aware output context
Cppforest2::pp::PPResult	Result of a projection pursuit optimization step
CProcessResult	Captured output of a child-process invocation
Cppforest2::Proportions	Tag type for requesting vote-proportion predictions
Cppforest2::viz::RegionPolygon	A convex decision region polygon in 2D with its predicted group
▼Cstd::runtime_error
Cppforest2::UserError	Exception for user-facing input validation errors
Cppforest2::cli::Scenario	A single benchmark scenario: data shape + model config
Cppforest2::cli::ScenarioResult	Result of running a single benchmark scenario
Cppforest2::cli::SimulateParams	Simulation data source options
Cppforest2::stats::SimulationParams	Parameters for generating simulated classification data
Cppforest2::stats::Split	Indices for a train/test split
CStrategy< Derived >	CRTP base class providing self-registration for strategy types
▼CStrategy< DRStrategy >
▼Cppforest2::dr::DRStrategy	Abstract strategy for dimensionality reduction
Cppforest2::dr::DRNoopStrategy	No-op dimensionality reduction: selects all variables
Cppforest2::dr::DRUniformStrategy	Uniform random dimensionality reduction
▼CStrategy< PPStrategy >
▼Cppforest2::pp::PPStrategy	Abstract strategy for projection pursuit optimization
Cppforest2::pp::PPPDAStrategy	Penalized Discriminant Analysis projection pursuit strategy
▼CStrategy< SRStrategy >
▼Cppforest2::sr::SRStrategy	Abstract strategy for computing the split threshold
Cppforest2::sr::SRMeanOfMeansStrategy	Split threshold as the mean of two group means
Cppforest2::cli::SuiteResult	Aggregated results for an entire suite run
Cppforest2::io::TempDir	RAII temporary directory with automatic cleanup
CTempDir	RAII temporary directory with automatic cleanup
Cppforest2::io::TempFile	RAII temporary file with automatic cleanup
CTempFile	RAII temporary file with automatic cleanup
▼Ctesting::Test
CSavedModelTest	Test fixture that trains a forest model once in SetUp()
Cppforest2::TrainingSpec	Training configuration for projection pursuit trees and forests
Cppforest2::cli::TrainResult	Result of a train operation containing the model and training duration
Cppforest2::viz::TreeLayout	Complete tree layout: positioned nodes and labelled edges
▼Cppforest2::TreeNode	Abstract base class for nodes in a projection pursuit tree
Cppforest2::TreeCondition	Internal split node in a projection pursuit tree
Cppforest2::TreeResponse	Leaf node in a projection pursuit tree
Cppforest2::stats::Uniform	Discrete uniform random integer generator over [min, max]
Cppforest2::VariableImportance	Grouped result of the three variable importance measures
Cppforest2::cli::VarsSpec	Result of parsing a vars specification
▼Cppforest2::Model::Visitor	Visitor interface for model dispatch
Cppforest2::serialization::JsonModelVisitor	Visitor that serializes a model (Tree or Forest) to JSON
▼Cppforest2::TreeNode::Visitor	Visitor interface for tree node dispatch
Cppforest2::VIVisitor	Visitor that accumulates per-variable contributions for VI2 and VI3
Cppforest2::serialization::JsonNodeVisitor	Visitor that serializes a tree node to JSON
Cppforest2::viz::BoundaryVisitor	Visitor that collects and clips decision boundary line segments
Cppforest2::viz::NodeDataVisitor	Visitor that routes observations through the tree and collects per-node projection data for histogram rendering
Cppforest2::viz::RegionVisitor	Visitor that collects convex decision region polygons