Skip to content

Classical ML

The estimator/transformer/pipeline interface, cross-validation and leakage avoidance transfer across all of them and are most of what matters. Gradient-boosting hyperparameters transfer between the three boosters and nowhere else.

Layer 24 entities0 started
  • scikit-learn

    Not started. Becomes a package with its own syllabus once it begins.

    candidate
  • xgboost

    Not started. Becomes a package with its own syllabus once it begins.

    candidate
  • lightgbm

    Not started. Becomes a package with its own syllabus once it begins.

    candidate
  • catboost

    Not started. Becomes a package with its own syllabus once it begins.

    candidate