print.scikitlearn_set

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.

Szymon Maksymiuk

DALEXtra

Extension for 'DALEX' Package

Przemyslaw Biecek

Hubert Baniecki

Anna Kozak

print.scikitlearn_set function

<dl><dt>x</dt>
<dd>a list from explainer created with <code>explain_scikitlearn</code></dd>
<dt>...</dt>
<dd>other arguments</dd></dl>

Arguments

Prints scikitlearn_set class — print.scikitlearn_set

<dl>

<dt>x</dt>
<dd>a list from explainer created with <code>explain_scikitlearn</code></dd>


<dt>...</dt>
<dd>other arguments</dd>

</dl>

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print.scikitlearn_set: Prints scikitlearn_set class

Description

Usage

Arguments