print.partial_dep

Print method for object of class "partial_dep".

Fast, model-agnostic implementation of different H-statistics
introduced by Jerome H. Friedman and Bogdan E. Popescu (2008)
<doi:10.1214/07-AOAS148>. These statistics quantify interaction
strength per feature, feature pair, and feature triple. The package
supports multi-output predictions and can account for case weights.
In addition, several variants of the original statistics are provided.
The shape of the interactions can be explored through partial
dependence plots or individual conditional expectation plots. 'DALEX'
explainers, meta learners ('mlr3', 'tidymodels', 'caret') and most
other models work out-of-the-box.

Michael Mayer

hstats

Interaction Statistics

Przemyslaw Biecek

print.partial_dep function

<dl><dt>x</dt>
<dd>An object of class "partial_dep".</dd>
<dt>n</dt>
<dd>Number of rows to print.</dd>
<dt>...</dt>
<dd>Further arguments passed from other methods.</dd></dl>

Arguments

Prints "partial_dep" Object — print.partial_dep

<dl>

<dt>x</dt>
<dd>An object of class "partial_dep".</dd>


<dt>n</dt>
<dd>Number of rows to print.</dd>


<dt>...</dt>
<dd>Further arguments passed from other methods.</dd>

</dl>

print.partial_dep: Prints "partial_dep" Object

Description

Usage

Value

Arguments

See Also