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Implement Random Forest #45

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Brad-Edwards opened this issue Jan 1, 2025 · 0 comments
Open

Implement Random Forest #45

Brad-Edwards opened this issue Jan 1, 2025 · 0 comments

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@Brad-Edwards
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Implement Random Forest with:

  • Parallel tree training
  • Bootstrap sampling
  • Out-of-bag score estimation
  • Feature importance calculation
  • Prediction confidence estimation
Brad-Edwards pushed a commit that referenced this issue Jan 1, 2025
@openhands-agent
feat(ml): Add Random Forest interface and tests
ab02ccb 
Issue: #45

- Added Random Forest interface with parallel training support
- Added bootstrap sampling configuration
- Added out-of-bag score estimation
- Added feature importance calculation
- Added comprehensive test suite covering:
  - Binary and multiclass classification
  - Parallel training
  - Bootstrap sampling
  - Feature importance consistency
@Brad-Edwards Brad-Edwards mentioned this issue Jan 1, 2025
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@Brad-Edwards