bigframes.ml.preprocessing#

Transformers that prepare data for other estimators. This module is styled after scikit-learn’s preprocessing module: https://scikit-learn.org/stable/modules/preprocessing.html.

Functions

cast(typ, val)

Cast a value to a type.

Classes

KBinsDiscretizer([n_bins, strategy])

Bin continuous data into intervals.

LabelEncoder([min_frequency, max_categories])

Encode target labels with value between 0 and n_classes-1.

MaxAbsScaler()

Scale each feature by its maximum absolute value.

MinMaxScaler()

Transform features by scaling each feature to a given range.

OneHotEncoder([drop, min_frequency, ...])

Encode categorical features as a one-hot format.

PolynomialFeatures([degree])

Generate polynomial and interaction features.

StandardScaler()

Standardize features by removing the mean and scaling to unit variance.

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