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rdisipio/quickstart-9.py

Created November 6, 2022 13:52
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quickstart-9.py
from sklearn.preprocessing import KBinsDiscretizer
n_bins = 10 # the more, the merrier
scaled_feature_names = [f"q_{x}" for x in feature_names]
qt = KBinsDiscretizer(n_bins=n_bins, encode='ordinal', strategy='quantile')
X_qt = qt.fit_transform(X).astype(np.int32) # nb: bin number must be an integer
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