Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 1234]

▼Nnlohmann
Cadl_serializer< ppforest2::Forest >
Cadl_serializer< ppforest2::serialization::Export< ppforest2::Forest > >
Cadl_serializer< ppforest2::serialization::Export< ppforest2::Model::Ptr > >
Cadl_serializer< ppforest2::serialization::Export< ppforest2::Tree > >
Cadl_serializer< ppforest2::stats::ConfusionMatrix >
Cadl_serializer< ppforest2::Tree >
Cadl_serializer< ppforest2::VariableImportance >
▼Nppforest2
▼Ncli	Command-line interface: argument parsing, subcommands, and benchmark/evaluation orchestration
CBenchmarkParams	Benchmark-specific options
CBenchmarkSuite	A suite of scenarios with shared defaults
CCLIOptions	All CLI options and runtime parameters
CConvergenceCriteria	Convergence criteria for adaptive stopping in benchmarks
CConvergenceParams	Convergence and iteration control (evaluate + benchmark)
CEvaluateParams	Evaluate-specific options
CModelParams	Model training parameters shared by train and evaluate
CScenario	A single benchmark scenario: data shape + model config
CScenarioResult	Result of running a single benchmark scenario
CSimulateParams	Simulation data source options
CSuiteResult	Aggregated results for an entire suite run
CTrainResult	Result of a train operation containing the model and training duration
CVarsSpec	Result of parsing a vars specification
▼Ndr	Dimensionality reduction strategies for variable selection
CDRNoopStrategy	No-op dimensionality reduction: selects all variables
CDRResult	Result of a dimensionality reduction step
CDRStrategy	Abstract strategy for dimensionality reduction
CDRUniformStrategy	Uniform random dimensionality reduction
▼Nio
▼Nlayout	Column-driven table formatting with ANSI-safe alignment
CColumn	Column definition for table formatting
CConfigDisplayHints	Optional display hints for print_configuration
CModelStats	Aggregated statistics across multiple training iterations
COutput	Quiet-aware, indentation-aware output context
CTempDir	RAII temporary directory with automatic cleanup
CTempFile	RAII temporary file with automatic cleanup
▼Npp	Projection pursuit strategies
CPPPDAStrategy	Penalized Discriminant Analysis projection pursuit strategy
CPPResult	Result of a projection pursuit optimization step
CPPStrategy	Abstract strategy for projection pursuit optimization
▼Nserialization	JSON serialization and deserialization for ppforest2 models
CExport	A model bundled with its export metadata and optional metrics
CJsonModelVisitor	Visitor that serializes a model (Tree or Forest) to JSON
CJsonNodeVisitor	Visitor that serializes a tree node to JSON
▼Nsr	Split rule strategies for computing decision thresholds
CSRMeanOfMeansStrategy	Split threshold as the mean of two group means
CSRStrategy	Abstract strategy for computing the split threshold
▼Nstats	Statistical infrastructure for training and evaluation
CConfusionMatrix	A confusion matrix comparing predicted vs actual group labels
CDataPacket	Bundled dataset: features, responses, and group labels
CGroupPartition	Contiguous-block representation of grouped observations
CNormal	Normal (Gaussian) random number generator
CSimulationParams	Parameters for generating simulated classification data
CSplit	Indices for a train/test split
CUniform	Discrete uniform random integer generator over [min, max]
▼Nviz
CBoundarySegment	A clipped decision boundary line segment in 2D feature space
CBoundaryVisitor	Visitor that collects and clips decision boundary line segments
CHalfSpace	A half-space constraint derived from an ancestor split
CLayoutEdge	An edge between two positioned nodes with a threshold label
CLayoutNode	A positioned tree node in the computed layout
CLayoutParams	Layout parameters for tree structure rendering
CNodeData	Per-node data collected by routing observations through the tree
CNodeDataVisitor	Visitor that routes observations through the tree and collects per-node projection data for histogram rendering
CRegionPolygon	A convex decision region polygon in 2D with its predicted group
CRegionVisitor	Visitor that collects convex decision region polygons
CTreeLayout	Complete tree layout: positioned nodes and labelled edges
CBootstrapTree
CForest	A projection pursuit random forest
▼CModel	Abstract base class for predictive models (trees and forests)
CVisitor	Visitor interface for model dispatch
CProportions	Tag type for requesting vote-proportion predictions
CTrainingSpec	Training configuration for projection pursuit trees and forests
CTree	A single projection pursuit decision tree
CTreeCondition	Internal split node in a projection pursuit tree
▼CTreeNode	Abstract base class for nodes in a projection pursuit tree
CVisitor	Visitor interface for tree node dispatch
CTreeResponse	Leaf node in a projection pursuit tree
CUserError	Exception for user-facing input validation errors
CVariableImportance	Grouped result of the three variable importance measures
CVIVisitor	Visitor that accumulates per-variable contributions for VI2 and VI3
CProcessResult	Captured output of a child-process invocation
CSavedModelTest	Test fixture that trains a forest model once in SetUp()
CStrategy	CRTP base class providing self-registration for strategy types
CTempDir	RAII temporary directory with automatic cleanup
CTempFile	RAII temporary file with automatic cleanup