evalml.preprocessing.SMOTENCTVSplit

class evalml.preprocessing.SMOTENCTVSplit(categorical_features=None, sampling_strategy='auto', test_size=None, n_jobs=- 1, random_seed=0)[source]

Splits the data into training and validation sets and uses SMOTENC to balance the training data. Keeps the validation data the same. Works on numeric and categorical data, but categorical data must be numerical

Methods

__init__

Create a TV or CV data splitter instance

get_n_splits

Returns the number of splits of this object.

split

Splits and returns the sampled training data using the data sampler provided.

transform_sample

Transforms the input data with the balancing strategy.

Class Inheritance

Inheritance diagram of SMOTENCTVSplit