matrix_to_formula

Convert matrix-based model function to formula interface

Provides a unified R6-based interface for various machine learning models with automatic interface detection, consistent cross-validation, model interpretations via numerical derivatives, and visualization. Supports both regression and classification tasks with any model function that follows R's standard modeling conventions (formula or matrix interface).

Thierry Moudiki

unifiedml

Unified Interface for Machine Learning Models

T. Moudiki

matrix_to_formula function

<dl><dt>fit_func</dt>
<dd>Function accepting x matrix and y vector</dd>
<dt>predict_func</dt>
<dd>Optional prediction function; if NULL, uses generic predict()</dd>
<dt>drop_intercept</dt>
<dd>Remove intercept column from model.matrix (default TRUE)</dd></dl>

Arguments

Convert matrix-based model function to formula interface — matrix_to_formula

<dl>

<dt>fit_func</dt>
<dd>Function accepting x matrix and y vector</dd>


<dt>predict_func</dt>
<dd>Optional prediction function; if NULL, uses generic predict()</dd>


<dt>drop_intercept</dt>
<dd>Remove intercept column from model.matrix (default TRUE)</dd>

</dl>

matrix_to_formula: Convert matrix-based model function to formula interface

Description

Usage

Value

Arguments