leakage-free-sklearn-workflows

Builds classical scikit-learn workflows — preprocessing pipelines, train/test discipline, model selection, cross-validation, hyperparameter tuning, clustering and PCA — with train-only fitting to keep evaluation honest. Use when the user asks to "train a classifier", "predict a number", "tune hyperparameters", "cross-validate a model", or "cluster my data" in Python. Not for deep-learning model architecture, large distributed training jobs, or real-time streaming inference platforms.

Version

v1.0.1

Size

11 KB

Updated

2026-10-06

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