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Author:
Srikumar Krishnamoorthy
License:
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTI...
Summary:
High-performance interpretable rule-based ML — HUG-IML classifier, adaptive binning, EBM-style plots, pattern pruning, and benchmark runner (IEEE Access 2024).
Latest version:
1.1.22
Required dependencies:
numpy
|
packaging
|
pandas
|
psutil
|
scikit-learn
|
scipy
Optional dependencies:
altair
|
autogluon-features
|
build
|
check-manifest
|
cibuildwheel
|
dash
|
dash-bootstrap-components
|
fastapi
|
hugiml-core
|
hypothesis
|
imbalanced-learn
|
imodels
|
interpret
|
interpret-core
|
jinja2
|
lightgbm
|
markdown
|
matplotlib
|
mlflow
|
mypy
|
openml
|
openpyxl
|
opentelemetry-api
|
opentelemetry-exporter-otlp
|
opentelemetry-sdk
|
pandas-stubs
|
plotly
|
prometheus-client
|
psutil
|
pyarrow
|
pygam
|
pytest
|
pytest-cov
|
pytest-xdist
|
pyyaml
|
ruff
|
rulefit
|
shap
|
slowapi
|
statsmodels
|
streamlit
|
twine
|
types-setuptools
|
uvicorn
|
xgboost
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