extract.glmnet.effects

betas

best.index

x.scaled

<p>the original x
Assuming that the first row is the x.interest</p>

x.original

Model-agnostic interpretability methods for machine learning models.
The iml package provides you with tools to analyse and explain the behaviour and prediction of black box machine learning models.
Implemented tools are: partial dependence plots, local models (LIME), feature importance measure and many more.

Christoph Molnar

Methods for interpretable machine learning

extract.glmnet.effects function

Extract glmnet effects — extract.glmnet.effects

Extract glmnet effects

extract.glmnet.effects: Extract glmnet effects

Description

Usage

Arguments