tabensemb.data

AbstractDataStep(**kwargs)

By inheriting this class, the input kwargs will be used to update default values defined in _defaults().

DataModule(config[, initialize])

The dataset manager that provides loading, processing, and analyzing utilities.

Data Derivation

AbstractDeriver(**kwargs)
dataderiver

Data Imputation

AbstractImputer(**kwargs)	The base class for all data-imputers.
AbstractSklearnImputer(**kwargs)	A base class for sklearn-style imputers that has fit_transform and transform methods that return np.ndarray.
dataimputer

Data Processing

AbstractProcessor(**kwargs)	The base class for data-processors that change the content of the tabular dataset.
AbstractAugmenter(**kwargs)	A kind of data processor that increases the number of data points.
AbstractTransformer(**kwargs)	The base class for data-processors that change values of the tabular dataset.
AbstractFeatureSelector(**kwargs)	The base class for data-processors that reduce the number of features.
AbstractScaler(**kwargs)	This is a marker for scaling processors like a standard scaler or a normalizer.
dataprocessor

Data Splitting

AbstractSplitter([train_val_test, cv])	The base class for data-splitters that split the dataset and return training, validation, and testing indices.
datasplitter

Utils

utils