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Author:
Tejas Tumakuru Ashok
License:
MIT
Summary:
Wrap any trained sklearn/XGBoost model as an LLM-callable tool: auto-generated JSON schemas, Pydantic I/O, OpenAI & LangChain ready, zero boilerplate.
Latest version:
0.6.3
Required dependencies:
numpy
|
pydantic
|
scikit-learn
Optional dependencies:
click
|
joblib
|
langchain-core
|
mcp
|
mlflow
|
mypy
|
pandas
|
pre-commit
|
pytest
|
pytest-cov
|
ruff
|
snowflake-ml-python
|
xgboost
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