get_sample

sample_method

<p>Function creates binary matrix, to be used in aspect_importance method. It
starts with a zero matrix. Then it replaces some zeros with ones. It either
randomly replaces one or two zeros per row. Or replace random number of zeros
per row - average number of replaced zeros can be controled by parameter f.
Function doesn't allow the returned matrix to have rows with only zeros.</p>

Provides wrapper of various machine learning models.
In applied machine learning, there
is a strong belief that we need to strike a balance
between interpretability and accuracy.
However, in field of the interpretable machine learning,
there are more and more new ideas for explaining black-box models,
that are implemented in 'R'.
'DALEXtra' creates 'DALEX' Biecek (2018) <arXiv:1806.08915> explainer for many type of models
including those created using 'python' 'scikit-learn' and 'keras' libraries, and 'java' 'h2o' library.
Important part of the package is Champion-Challenger analysis and innovative approach
to model performance across subsets of test data presented in Funnel Plot.
Third branch of 'DALEXtra' package is aspect importance analysis
that provides instance-level explanations for the groups of explanatory variables.

get_sample: Function for getting binary matrix

Description

Usage

Arguments

Value

Examples