Data Discretization¶

skfeature.utility.data_discretization

Description¶

Data Discretization converts continuous features into discrete bins. This is required as a preprocessing step before running the information-theoretic feature selection algorithms, which expect discrete inputs.

Usage¶

import numpy as np
from sklearn.datasets import load_iris

from skfeature.utility import data_discretization

X, y = load_iris(return_X_y=True)
X_discrete = data_discretization.data_discretization(X, n_bins=5)

Functions¶

data_discretization(X, n_bins): discretize each feature into n_bins equal-width bins and return the discretized matrix.