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Author:
Akash Anipakalu Giridhar
Summary:
A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.
Latest version:
2.0.0
Required dependencies:
joblib
|
numpy
|
pandas
|
scikit-learn
Optional dependencies:
fastapi
|
httpx
|
lightgbm
|
matplotlib
|
mcp
|
mkdocs-material
|
mkdocstrings
|
onnx
|
optuna
|
pytest
|
pytest-cov
|
ruff
|
seaborn
|
sentence-transformers
|
shap
|
skl2onnx
|
uvicorn
|
xgboost
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