ML.EVAL.GRID_SEARCH¶

Performs grid search on the model.

Syntax¶

ML.EVAL.GRID_SEARCH(model, param_grid, scoring, cv, refit)

Name	Type	Default	Description
model	object		Estimator or pipeline object (e.g. created by ML.CLASSIFICATION., ML.REGRESSION., ML.CLUSTERING.*, or ML.PIPELINE).
param_grid	DataFrame		Range describing the parameter grid: for pipelines, columns are [step, param, value1, value2, ...]; for plain estimators, columns are [ignored, param, value1, value2, ...].
scoring	list[str]	None	The scoring function to use.
cv	int	None	The number of folds to use for cross-validation.
refit	bool	TRUE	Whether to refit the best model on the entire dataset.

Object

Examples coming soon

Working Excel formula examples for this function are not yet written.