round_manual

This function rounds numbers to the specified number of decimal places
using a manual method that avoids the typical rounding issues in R which may vary
across different OS.

internal

Complex machine learning models are often hard to interpret. However, in
many situations it is crucial to understand and explain why a model made a specific
prediction. Shapley values is the only method for such prediction explanation framework
with a solid theoretical foundation. Previously known methods for estimating the Shapley
values do, however, assume feature independence. This package implements methods which accounts for any feature
dependence, and thereby produces more accurate estimates of the true Shapley values.
An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repository.

Martin Jullum

shapr

Prediction Explanation with Dependence-Aware Shapley Values

Lars Henry Berge Olsen

Annabelle Redelmeier

Jon Lachmann

Nikolai Sellereite

Anders Løland

Jens Christian Wahl

Camilla Lingjærde

Norsk Regnesentral 

round_manual function

<dl><dt>x</dt>
<dd>Numeric vector. The numbers to round.</dd>
<dt>digits</dt>
<dd>Integer. The number of digits to round to. Defaults 0.</dd></dl>

Arguments

Round numbers to the specified number of decimal places — round_manual

<dl>

<dt>x</dt>
<dd>Numeric vector. The numbers to round.</dd>


<dt>digits</dt>
<dd>Integer. The number of digits to round to. Defaults 0.</dd>

</dl>

Round numbers to the specified number of decimal places

round_manual: Round numbers to the specified number of decimal places

Description

Usage

Value

Arguments