define_xgboost_spec

Define XGBoost Model Specification

Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing
comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning.
It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.

Selcuk Korkmaz

fastml

Fast Machine Learning Model Training and Evaluation

Dincer Goksuluk

define_xgboost_spec function

<dl><dt>task</dt>
<dd>Character string specifying the task type: "classification" or "regression".</dd>
<dt>train_data</dt>
<dd>Data frame containing the training data.</dd>
<dt>label</dt>
<dd>Character string specifying the name of the target variable.</dd>
<dt>tune</dt>
<dd>Logical indicating whether to use tuning parameters.</dd></dl>

Arguments

Define XGBoost Model Specification — define_xgboost_spec

<dl>

<dt>task</dt>
<dd>Character string specifying the task type: "classification" or "regression".</dd>


<dt>train_data</dt>
<dd>Data frame containing the training data.</dd>


<dt>label</dt>
<dd>Character string specifying the name of the target variable.</dd>


<dt>tune</dt>
<dd>Logical indicating whether to use tuning parameters.</dd>

</dl>

define_xgboost_spec: Define XGBoost Model Specification

Description

Usage

Value

Arguments