-
cerebral.kfolds.kfolds(data: DataFrame, save: bool =
False, plot: bool = False)[source]
Performs k-folds cross-validation to evaluate a model.
- Parameters:
- data: DataFrame
The dataset used to train models, which will be folded into multiple
training and testing subsets.
- save: bool =
False If True, each submodel will be saved to disk.
- plot: bool =
False If True, training metrics for each submodel will be plotted.
Last update:
Feb 09, 2023