Crate forestfire_core 

ForestFire core model, training, inference, and interchange layer.

The crate is organized around a few stable abstractions:

• forestfire_data::TableAccess is the common data boundary for both training and inference.
• TrainConfig is the normalized configuration surface shared by the Rust and Python APIs.
• Model is the semantic model view used for exact prediction, serialization, and introspection.
• OptimizedModel is a lowered runtime view used when prediction speed matters more than preserving the original tree layout.

Keeping the semantic model and the runtime model separate is deliberate. It makes export and introspection straightforward while still allowing the optimized path to use layouts that are awkward to serialize directly.

Re-exports

pub use ir::IrError;

pub use ir::ModelPackageIr;

pub use tree::classifier::DecisionTreeAlgorithm;

pub use tree::classifier::DecisionTreeClassifier;

pub use tree::classifier::DecisionTreeError;

pub use tree::classifier::DecisionTreeOptions;

pub use tree::classifier::train_c45;

pub use tree::classifier::train_cart;

pub use tree::classifier::train_id3;

pub use tree::classifier::train_oblivious;

pub use tree::classifier::train_randomized;

pub use tree::regressor::DecisionTreeRegressor;

pub use tree::regressor::RegressionTreeAlgorithm;

pub use tree::regressor::RegressionTreeError;

pub use tree::regressor::RegressionTreeOptions;

pub use tree::regressor::train_cart_regressor;

pub use tree::regressor::train_oblivious_regressor;

pub use tree::regressor::train_randomized_regressor;

Modules

ir

Stable intermediate representation for ForestFire models.

tree

Tree learners used across the project.

Structs

GradientBoostedTrees

Stage-wise gradient-boosted tree ensemble.

NumericBinBoundary

OptimizedModel

Runtime-lowered model used for faster inference.

PredictionHistogramEntry

PredictionValueStats

RandomForest

Bagged ensemble of decision trees.

TrainConfig

Unified training configuration shared by the Rust and Python entry points.

TreeStructureSummary

Enums

BoostingError

CompiledArtifactError

Criterion

FeaturePreprocessing

InputFeatureKind

IntrospectionError

MaxFeatures

MissingValueStrategy

MissingValueStrategyConfig

Model

Top-level semantic model enum.

OptimizeError

PredictError

Task

TrainAlgorithm

TrainError

TreeType

Functions

train