quick_anomaly_detector.models.Padding

class quick_anomaly_detector.models.Padding(features, max_lengths=None)

This class is for data pipeline that padding for str columns

__init__(features, max_lengths=None)

Methods

__init__(features[, max_lengths])
fit(X[, y])
fit_transform(X[, y])	Fit to data, then transform it.
get_metadata_routing()	Get metadata routing of this object.
get_params([deep])	Get parameters for this estimator.
set_output(*[, transform])	Set output container.
set_params(**params)	Set the parameters of this estimator.
transform(X[, y])