register_model_pro

Registers a model function into the internal system environment, making it available for batch execution.

Provides a framework to build and evaluate diagnosis or
prognosis models using stacking, voting, and bagging ensemble
techniques with various base learners. The package also includes
tools for visualization and interpretation of models. The development
version of the package is available on 'GitHub' at
<https://github.com/xiaojie0519/E2E>. The methods
are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655>
on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1>
on stacking.

Shanjie Luan

Ensemble Learning Framework for Diagnostic and Prognostic
Modeling

register_model_pro function

<dl><dt>name</dt>
<dd>String identifier for the model.</dd>
<dt>func</dt>
<dd>The model training function.</dd></dl>

Arguments

Register a Prognostic Model — register_model_pro

<dl>

<dt>name</dt>
<dd>String identifier for the model.</dd>


<dt>func</dt>
<dd>The model training function.</dd>

</dl>

register_model_pro: Register a Prognostic Model

Description

Usage

Arguments