enpls.rmsle

Root Mean Squared Logarithmic Error (RMSLE)

An algorithmic framework for measuring feature importance,
outlier detection, model applicability domain evaluation,
and ensemble predictive modeling with (sparse)
partial least squares regressions.

Nan Xiao

enpls

Ensemble Partial Least Squares Regression

Dong-Sheng Cao

Miao-Zhu Li

Qing-Song Xu

enpls.rmsle function

<dl><dt>yreal</dt>
<dd>true response vector</dd>
<dt>ypred</dt>
<dd>predicted response vector</dd></dl>

Arguments

Nan Xiao &lt;<a href="https://nanx.me">https://nanx.me</a>&gt;

Author

Root Mean Squared Logarithmic Error (RMSLE) — enpls.rmsle

<dl>

<dt>yreal</dt>
<dd>true response vector</dd>


<dt>ypred</dt>
<dd>predicted response vector</dd>

</dl>

Nan Xiao &lt;<a href='https://nanx.me'>https://nanx.me</a>&gt;

enpls.rmsle: Root Mean Squared Logarithmic Error (RMSLE)

Description

Usage

Value

Arguments

Author