pred.MSE

Compute the Mean Squared Error between predicted and actual values.

Functional data analysis tools with a high-performance 'Rust' backend.
Provides methods for functional data manipulation, depth computation,
distance metrics, regression, and statistical testing. Supports both
1D functional data (curves) and 2D functional data (surfaces).
Methods are described in Ramsay and Silverman (2005,
ISBN:978-0-387-40080-8) "Functional Data Analysis" and Ferraty and
Vieu (2006, ISBN:978-0-387-30369-7) "Nonparametric Functional Data
Analysis".

Dr. Mueller

fdars

Functional Data Analysis in 'Rust'

Simon Müller

pred.MSE function

<dl><dt>y_true</dt>
<dd>Actual values.</dd>
<dt>y_pred</dt>
<dd>Predicted values.</dd></dl>

Arguments

Mean Squared Error — pred.MSE

<dl>

<dt>y_true</dt>
<dd>Actual values.</dd>


<dt>y_pred</dt>
<dd>Predicted values.</dd>

</dl>

pred.MSE: Mean Squared Error

Description

Usage

Value

Arguments

Examples