create_env

Python objects may be loaded into R. However, it requires versions of the Python and libraries to match between both machines.
This functions allow user to create conda virtual environment based on provided .yml file.

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

create_env function

<dl><dt>yml</dt>
<dd>a path to the .yml file. If OS is Windows conda has to be added to the PATH first</dd>
<dt>condaenv</dt>
<dd>path to main conda folder. If OS is Unix You may want to specify it. When passed with windows, param will be omitted.</dd></dl>

Arguments

Author

Create your conda virtual env with DALEX — create_env

<dl>

<dt>yml</dt>
<dd>a path to the .yml file. If OS is Windows conda has to be added to the PATH first</dd>


<dt>condaenv</dt>
<dd>path to main conda folder. If OS is Unix You may want to specify it. When passed with windows, param will be omitted.</dd>

</dl>

create_env: Create your conda virtual env with DALEX

Description

Usage

Value

Arguments

Author

Examples