select_sample

set of observations. Profile will be calculated for every observation (every row)

data

named list of vectors. Elements of the list are vectors with points in which profiles should be calculated. See an example for more details.

seed

This function selects subset of rows from data set.
This is usefull if data is large and we need just a sample to calculate profiles.

Ceteris Paribus Profiles (What-If Plots) are designed to present model
responses around selected points in a feature space.
For example around a single prediction for an interesting observation.
Plots are designed to work in a model-agnostic fashion, they are working
for any predictive Machine Learning model and allow for model comparisons.
Ceteris Paribus Plots supplement the Break Down Plots from 'breakDown' package.

Przemyslaw Biecek

ceterisParibus

Ceteris Paribus Profiles

select_sample function

<dl><dt>data</dt>
<dd>set of observations. Profile will be calculated for every observation (every row)</dd>
<dt>n</dt>
<dd>named list of vectors. Elements of the list are vectors with points in which profiles should be calculated. See an example for more details.</dd>
<dt>seed</dt>
<dd>seed for random number generator.</dd></dl>

Arguments

Select Subset of Rows — select_sample

<dl>

<dt>data</dt>
<dd>set of observations. Profile will be calculated for every observation (every row)</dd>


<dt>n</dt>
<dd>named list of vectors. Elements of the list are vectors with points in which profiles should be calculated. See an example for more details.</dd>


<dt>seed</dt>
<dd>seed for random number generator.</dd>

</dl>

select_sample: Select Subset of Rows

Description

Usage

Value

Arguments

Details

Examples