Class Hierarchy

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

[detail level 123]

Cnlohmann::adl_serializer< Eigen::Matrix< Scalar, Rows, Cols, Options, MaxRows, MaxCols > >	Eigen::Matrix ↔ JSON
Cnlohmann::adl_serializer< ppforest2::serialization::Export< ppforest2::Forest::Ptr > >
Cnlohmann::adl_serializer< ppforest2::serialization::Export< ppforest2::Model::Ptr > >
Cnlohmann::adl_serializer< ppforest2::serialization::Export< ppforest2::Tree::Ptr > >
Cnlohmann::adl_serializer< ppforest2::stats::ClassificationMetrics >
Cnlohmann::adl_serializer< ppforest2::stats::ConfusionMatrix >
Cnlohmann::adl_serializer< ppforest2::stats::RegressionMetrics >
Cnlohmann::adl_serializer< ppforest2::VariableImportance >
Cnlohmann::adl_serializer< std::optional< T > >
Cppforest2::Bagged< M >	Bootstrap-aggregated model wrapper
Cppforest2::cli::BenchmarkParams	Benchmark-specific options
Cppforest2::cli::BenchmarkReport	Benchmark report with comparison, display, and export
Cppforest2::cli::BenchmarkSuite	A suite of scenarios with shared defaults
Cppforest2::viz::BoundarySegment	A clipped decision boundary line segment in 2D feature space
Cppforest2::TrainingSpec::Builder	Fluent builder for TrainingSpec
Cppforest2::stats::simulation::params::Classification	Classification simulation: group-shifted normals
Cppforest2::stats::ClassificationMetrics	Classification evaluation metrics
Cppforest2::io::layout::Column	Column definition for table formatting
Cppforest2::TrainingSpec::Builder::Config	Builder state — the configuration being assembled
Cppforest2::io::ConfigDisplayHints	Optional display hints for print_configuration
Cppforest2::stats::ConfusionMatrix	A confusion matrix comparing predicted vs actual group labels
Cppforest2::cli::EvaluateParams::Convergence	Convergence control
Cppforest2::stats::DataPacket	Bundled dataset: features, response, and group labels
Cppforest2::cli::EvaluateParams	Evaluate and convergence options (shared by evaluate + benchmark)
►Cppforest2::io::EvaluateResult	Summary of an evaluation run
Cppforest2::cli::ScenarioResult	Result of running a single benchmark scenario
Cppforest2::serialization::Export< T >	A model bundled with its export metadata and optional metrics
Cppforest2::io::csv::FeatureSet	Result of parsing a feature-only CSV (no response column)
Cppforest2::stats::GroupPartition	Contiguous-block representation of grouped observations
Cppforest2::viz::HalfSpace	A half-space constraint derived from an ancestor split
Cppforest2::JsonReader	A small DSL for extracting-and-validating values out of a JSON object with path-aware error messages
Cppforest2::viz::LayoutEdge	An edge between two positioned nodes with a cutpoint label
Cppforest2::viz::LayoutNode	A positioned tree node in the computed layout
Cppforest2::viz::LayoutParams	Layout parameters for tree structure rendering
Cppforest2::cli::serve::LoadedModel	Immutable model snapshot captured once at server startup
►Cppforest2::Model	Abstract base class for predictive models (trees and forests)
►Cppforest2::Forest	Abstract base class for projection pursuit random forests
Cppforest2::ClassificationForest	Random forest of classification trees
Cppforest2::RegressionForest	Random forest of regression trees
►Cppforest2::Tree	Abstract base class for projection pursuit decision trees
Cppforest2::ClassificationTree	A projection pursuit decision tree for classification
Cppforest2::RegressionTree	A projection pursuit decision tree for regression
Cppforest2::cli::ModelParams	Model training parameters shared by train and evaluate
Cppforest2::io::ModelStats	Per-iteration training statistics
Cppforest2::NodeContext	Mutable context accumulating intermediate results during node training
Cppforest2::test::NodeContextFixture	Test-only fixture that owns the storage backing a NodeContext
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::cli::Params	All CLI options and runtime parameters
Cppforest2::cli::serve::PredictionResult	Result of running a prediction request — kept around for the predictions store so the server can serve cached HTML on shareable URLs
Cppforest2::cli::serve::PredictionStore	In-memory bounded store of recent prediction results, keyed by opaque IDs that survive a page refresh. Capacity-limited LRU; evicts the oldest entry once capacity is reached
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
Cppforest2::stats::simulation::params::Regression	Regression simulation: linear model over i.i.d. features
Cppforest2::stats::RegressionMetrics	Regression evaluation metrics
Cppforest2::cli::serve::Response	Status, body, MIME content type, and extra response headers
Cppforest2::pp::ProjectionPursuit::Result	Result of a projection pursuit optimization step
Cppforest2::vars::VariableSelection::Result	Result of a variable selection step
►Cstd::runtime_error
Cppforest2::UserError	Exception for user-facing input validation errors
Cppforest2::cli::ServeParams	serve subcommand options. CLI-exclusive; no config file roundtrip
Cppforest2::cli::SimulateParams	Simulation data source options
Cppforest2::stats::Split	Indices for a train/test split
CStrategy< Derived >	CRTP base class providing self-registration for strategy types
►CStrategy< Binarization >
►Cppforest2::binarize::Binarization	Abstract strategy for multiclass-to-binary reduction
Cppforest2::binarize::Disabled	Placeholder binarizer for specs that never reach binarization
Cppforest2::binarize::LargestGap	Binarization by largest gap between sorted projected group means
►CStrategy< Cutpoint >
►Cppforest2::cutpoint::Cutpoint	Abstract strategy for computing the split cutpoint
Cppforest2::cutpoint::MeanOfMeans	Split cutpoint as the mean of two group means
►CStrategy< Grouping >
►Cppforest2::grouping::Grouping	Abstract strategy for managing group partitions
Cppforest2::grouping::ByCutpoint	Cutpoint-based grouping for regression trees
Cppforest2::grouping::ByLabel	Label-based grouping: create partitions from sorted class labels
►CStrategy< LeafStrategy >
►Cppforest2::leaf::LeafStrategy	Abstract strategy for creating leaf nodes
Cppforest2::leaf::MajorityVote	Leaf creation by majority vote
Cppforest2::leaf::MeanResponse	Leaf creation by mean response value
►CStrategy< ProjectionPursuit >
►Cppforest2::pp::ProjectionPursuit	Abstract strategy for projection pursuit optimization
Cppforest2::pp::PDA	Penalized Discriminant Analysis projection pursuit strategy
►CStrategy< StopRule >
►Cppforest2::stop::StopRule	Abstract strategy for tree stopping rules
Cppforest2::stop::CompositeStop	Composite stop rule that fires when any child rule fires (logical OR)
Cppforest2::stop::MaxDepth	Stop when the node's depth reaches a configured maximum
Cppforest2::stop::MinSize	Stop when the node has fewer than a minimum number of observations
Cppforest2::stop::MinVariance	Stop when the response variance is below a threshold
Cppforest2::stop::PureNode	Stop when the node contains only one group (pure node)
Cppforest2::test::MockStop	Mock StopRule whose verdict is fixed at construction time
►CStrategy< VariableSelection >
►Cppforest2::vars::VariableSelection	Abstract strategy for variable selection
Cppforest2::vars::All	Selects all variables (no variable selection)
Cppforest2::vars::Uniform	Uniform random variable selection
►Cppforest2::cli::BenchmarkReport::Style	Display style for benchmark report output
Cppforest2::cli::BenchmarkReport::Markdown	Markdown style with emoji indicators
Cppforest2::cli::BenchmarkReport::Text	Terminal style with ANSI color decorators
►Cppforest2::cli::SuiteResult	Aggregated results for an entire suite run
Cppforest2::cli::Baseline	A baseline suite with a pre-built name → result index
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::TreeBranch	Internal split node in a projection pursuit tree
Cppforest2::TreeLeaf	Leaf node in a projection pursuit tree
Cppforest2::stats::Uniform	Discrete uniform random integer generator over [min, max]
Cppforest2::VariableImportance	Grouped result of the variable importance measures
►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::NodeDataVisitor	Visitor that routes observations through the tree and collects per-node projection data for histogram rendering
►Cppforest2::viz::SpatialVisitor	Base class for visitors that traverse a tree in a 2D feature plane
Cppforest2::viz::BoundaryVisitor	Visitor that collects and clips decision boundary line segments
Cppforest2::viz::RegionVisitor	Visitor that collects convex decision region polygons