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
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