kumulant/com.eignex.kumulant.stat.regression.tree/MeanTreePosterior

MeanTreePosterior

data object MeanTreePosterior : TreePosterior(source)

Score is the leaf's running mean; point estimate, no exploration.

Functions

open override fun evaluate(snapshot: TreeRegressionResult, x: VectorView, rng: Random, exploration: Double = 1.0): Double

Score a query point x under the regression snapshot. exploration controls the posterior-variance scale (Thompson) or the UCB width (LinUcb-style); 0.0 collapses to the point estimate.

evaluate

open override fun evaluate(snapshot: TreeRegressionResult, x: VectorView, rng: Random, exploration: Double = 1.0): Double(source)

Score a query point x under the regression snapshot. exploration controls the posterior-variance scale (Thompson) or the UCB width (LinUcb-style); 0.0 collapses to the point estimate.