dalex_load_explainer

Load DALEX explainer created with Python library into the R environment.

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

dalex_load_explainer function

<dl><dt>path</dt>
<dd>Path to the pickle file with explainer saved.</dd></dl>

Arguments

DALEX load explainer — dalex_load_explainer

<dl>

<dt>path</dt>
<dd>Path to the pickle file with explainer saved.</dd>

</dl>

dalex_load_explainer: DALEX load explainer

Description

Usage

Arguments

Details