scikit-learn 1 · Preprocessing and pipelines

Chain steps into a pipeline

Combine preprocessing and a model so the same steps apply in training and prediction, with no data leakage.

from sklearn.pipeline import make_pipeline
from sklearn.linear_model import LogisticRegression

model = make_pipeline(StandardScaler(), LogisticRegression(max_iter=1000))
model.fit(X_train, y_train)

Official scikit-learn 1 documentation

More preprocessing and pipelines commands

All preprocessing and pipelines commands · scikit-learn 1 cheatsheet

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