Scikit-learn enhancement proposals

Accepted

SLEP000: SLEP and its workflow
SLEP006: Metadata Routing
SLEP007: Feature names, their generation and the API
SLEP009: Keyword-only arguments
SLEP010: n_features_in_ attribute
SLEP017: Clone Override Protocol with __sklearn_clone__
SLEP018: Pandas Output for Transformers with set_output
SLEP020: Simplifying Governance Changes
SLEP023: Callback API

Delayed review

1. SLEP001: Transformers that modify their target
2. SLEP002: Dynamic pipelines
3. SLEP003: Consistent inspection for transformers

Rejected

SLEP004: Data information
SLEP012: InputArray
SLEP013: n_features_out_ attribute
SLEP014: Pandas In, Pandas Out
SLEP015: Feature Names Propagation
SLEP019: Governance Update - Recognizing Contributions Beyond Code
SLEP025: Losing Accuracy in Scikit-Learn Score

Template

SLEP Template and Instructions

Scikit-learn enhancement proposals

Index

Index

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