evalml.preprocessing.BalancedClassificationDataCVSplit

class evalml.preprocessing.BalancedClassificationDataCVSplit(sampling_ratio=0.25, min_samples=100, min_percentage=0.1, n_splits=3, shuffle=True, random_seed=0)

Data splitter for generating k-fold cross-validation split using Balanced Classification Data Sampler.

Methods

__init__	Create Balanced Classification Data CV splitter
get_n_splits	Returns the number of splits of this object.
split	Splits and returns the indices of the training and testing using the data sampler provided.
transform_sample	Transforms the input data with the balancing strategy.

Class Inheritance

evalml.preprocessing.BalancedClassificationDataTVSplit.transform_sample evalml.preprocessing.BalancedClassificationDataCVSplit.__init__