Trait forester::data::SampleDescription

pub trait SampleDescription {
    type ThetaSplit;
    type ThetaLeaf;
    type Feature: PartialOrd + SampleRange;
    type Prediction;
    fn sample_as_split_feature(&self, theta: &Self::ThetaSplit) -> Self::Feature;
    fn sample_predict(&self, w: &Self::ThetaLeaf) -> Self::Prediction;
}

Data sample used with decision trees

Associated Types

type ThetaSplit

Type used to parametrize split features

type ThetaLeaf

Type used to parametrize leaf predictors

type Feature: PartialOrd + SampleRange

Type of a split feature

type Prediction

Type of predicted values; this can be the same as Self::Y (e.g. regression) or something different (e.g. class probabilities).

Required Methods

fn sample_as_split_feature(&self, theta: &Self::ThetaSplit) -> Self::Feature

Compute the value of a leaf feature for a given sample

fn sample_predict(&self, w: &Self::ThetaLeaf) -> Self::Prediction

Compute the leaf prediction for a given sample

Implementors

• impl<'a, X, Y> SampleDescription for forester::api::extra_trees_regressor::Sample<'a, X, Y> where
    X: Clone + PartialOrd + SampleRange,  type ThetaSplit = usize; type ThetaLeaf = f64; type Feature = X; type Prediction = f64;
• impl<'a, X, Y> SampleDescription for forester::api::extra_trees_classifier::Sample<'a, X, Y> where
    X: Clone + PartialOrd + SampleRange,  type ThetaSplit = usize; type ThetaLeaf = ClassCounts; type Feature = X; type Prediction = ClassCounts;