Magnus Hedemark dc08b67203 feat: add researched code integration references — PyTorch, sklearn, DS workflow ...

Three researched references validated against current API docs:

- references/pytorch-integration.md: device management, training loops,
  AMP, torch.compile, transfer learning, LoRA, distillation, pruning,
  DDP, debugging (validated against PyTorch 2.12 docs)

- references/sklearn-integration.md: pipelines, ColumnTransformer,
  model selection, ensembles, calibration, imbalanced data, custom
  estimators, feature selection (validated against sklearn 1.8.0 docs)

- references/data-science-coding-workflow.md: project structure,
  config management, experiment logging (MLflow/TensorBoard/WandB),
  result serialization, reproducibility, data versioning, unit testing

66/66 validation tests passing.

Closes #23

2026-05-23 17:10:10 -04:00

..

assumption-diagnostics.py

feat: add data-scientist skill

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effect-size-calculator.py

feat: add data-scientist skill

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experimental-design.py

feat: add data-scientist skill

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model-comparison.py

feat: add data-scientist skill

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power-analysis.py

feat: add data-scientist skill

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test_references_completeness.sh

feat: add researched code integration references — PyTorch, sklearn, DS workflow

2026-05-23 17:10:10 -04:00