Monte-Carlo Methods for Prediction Functions

Marginalizes prediction functions using Monte-Carlo integration and computes permutation importance.


Monte-Carlo Methods for Prediction Functions

Contains functions which create uniform, random, or user-specified grids and then evaluates marginalized prediction functions on them (e.g., partial dependence). Also contains functions to compute permutation importance.

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0.0.5

preserve column order from input data to makeDesign

Reference manual

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install.packages("mmpf")

0.0.5 by Zachary Jones, 4 months ago


Report a bug at https://github.com/zmjones/mmpf


Browse source code at https://github.com/cran/mmpf


Authors: Zachary Jones [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports checkmate, data.table

Suggests testthat, rmarkdown, knitr, randomForest, ggplot2, reshape2


Imported by edarf.

Depended on by metaforest.

Suggested by mlr.


See at CRAN