dal_tune: DAL Tune (base for hyperparameter search)

In daltoolbox: Leveraging Experiment Lines to Data Analytics

DAL Tune (base for hyperparameter search)

Description

Base class for hyperparameter optimization that stores a base model, a fold count, and a parameter grid. Specializations (classification/regression/clustering) implement the evaluation logic.

Usage

dal_tune(base_model, folds = 10, ranges)

Arguments

base_model	base model for tuning
folds	number of folds for cross-validation
ranges	a list of hyperparameter ranges to explore

Details

Ranges are expanded via expand.grid, and selection is delegated to select_hyper() which can be overridden by subclasses to implement custom criteria.

Value

returns a dal_tune object

Examples

#See ?cla_tune for classification tuning
#See ?reg_tune for regression tuning
#See ?ts_tune for time series tuning

daltoolbox documentation built on Nov. 5, 2025, 7:09 p.m.