Struct OptimizedModel 

pub struct OptimizedModel { /* private fields */ }

Runtime-lowered model used for faster inference.

The optimized model keeps a copy of the source Model so it can preserve serialization and introspection behavior even after the runtime has been lowered into lookup-table-friendly structures.

Implementations

impl OptimizedModel

pub fn serialize_compiled(&self) -> Result<Vec<u8>, CompiledArtifactError>

pub fn deserialize_compiled( serialized: &[u8], physical_cores: Option<usize>, ) -> Result<Self, CompiledArtifactError>

impl OptimizedModel

pub fn predict_table(&self, table: &dyn TableAccess) -> Vec<f64>

pub fn predict_rows( &self, rows: Vec<Vec<f64>>, ) -> Result<Vec<f64>, PredictError>

pub fn predict_named_columns( &self, columns: BTreeMap<String, Vec<f64>>, ) -> Result<Vec<f64>, PredictError>

pub fn predict_proba_table( &self, table: &dyn TableAccess, ) -> Result<Vec<Vec<f64>>, PredictError>

pub fn predict_proba_rows( &self, rows: Vec<Vec<f64>>, ) -> Result<Vec<Vec<f64>>, PredictError>

pub fn predict_proba_named_columns( &self, columns: BTreeMap<String, Vec<f64>>, ) -> Result<Vec<Vec<f64>>, PredictError>

pub fn predict_proba_sparse_binary_columns( &self, n_rows: usize, n_features: usize, columns: Vec<Vec<usize>>, ) -> Result<Vec<Vec<f64>>, PredictError>

pub fn predict_sparse_binary_columns( &self, n_rows: usize, n_features: usize, columns: Vec<Vec<usize>>, ) -> Result<Vec<f64>, PredictError>

pub fn algorithm(&self) -> TrainAlgorithm

pub fn task(&self) -> Task

pub fn criterion(&self) -> Criterion

pub fn tree_type(&self) -> TreeType

pub fn mean_value(&self) -> Option<f64>

pub fn canaries(&self) -> usize

pub fn max_depth(&self) -> Option<usize>

pub fn min_samples_split(&self) -> Option<usize>

pub fn min_samples_leaf(&self) -> Option<usize>

pub fn n_trees(&self) -> Option<usize>

pub fn max_features(&self) -> Option<usize>

pub fn seed(&self) -> Option<u64>

pub fn compute_oob(&self) -> bool

pub fn oob_score(&self) -> Option<f64>

pub fn learning_rate(&self) -> Option<f64>

pub fn bootstrap(&self) -> bool

pub fn top_gradient_fraction(&self) -> Option<f64>

pub fn other_gradient_fraction(&self) -> Option<f64>

pub fn tree_count(&self) -> usize

pub fn used_feature_indices(&self) -> Vec<usize>

pub fn used_feature_count(&self) -> usize

pub fn tree_structure( &self, tree_index: usize, ) -> Result<TreeStructureSummary, IntrospectionError>

pub fn tree_prediction_stats( &self, tree_index: usize, ) -> Result<PredictionValueStats, IntrospectionError>

pub fn tree_node( &self, tree_index: usize, node_index: usize, ) -> Result<NodeTreeNode, IntrospectionError>

pub fn tree_level( &self, tree_index: usize, level_index: usize, ) -> Result<ObliviousLevel, IntrospectionError>

pub fn tree_leaf( &self, tree_index: usize, leaf_index: usize, ) -> Result<IndexedLeaf, IntrospectionError>

pub fn to_ir(&self) -> ModelPackageIr

pub fn to_ir_json(&self) -> Result<String, Error>

pub fn to_ir_json_pretty(&self) -> Result<String, Error>

pub fn serialize(&self) -> Result<String, Error>

pub fn serialize_pretty(&self) -> Result<String, Error>

Trait Implementations

impl Clone for OptimizedModel

fn clone(&self) -> OptimizedModel

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for OptimizedModel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.