extract_probabilities

Extract probability predictions from any R model in a standardised format

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

extract_probabilities function

<dl><dt>model</dt>
<dd>Fitted model object (any class)</dd>
<dt>X</dt>
<dd>Feature matrix or data.frame for predictions</dd>
<dt>y_train</dt>
<dd>Optional training labels used to name output columns</dd>
<dt>verbose</dt>
<dd>Print diagnostic information (default: FALSE)</dd></dl>

Arguments

Extract probability predictions from any R model in a standardised format — extract_probabilities

<dl>

<dt>model</dt>
<dd>Fitted model object (any class)</dd>


<dt>X</dt>
<dd>Feature matrix or data.frame for predictions</dd>


<dt>y_train</dt>
<dd>Optional training labels used to name output columns</dd>


<dt>verbose</dt>
<dd>Print diagnostic information (default: FALSE)</dd>

</dl>

extract_probabilities: Extract probability predictions from any R model in a standardised format

Description

Usage

Value

Arguments