requirements-optional.txt

# Analysis
shap>=0.38.0
interpret>=0.2.7
umap-learn>=0.5.2
ydata-profiling>=4.3.1
explainerdashboard>=0.3.8  # For dashboard method
fairlearn==0.7.0  # For check_fairness method

# Models
xgboost>=1.1.0; python_version != "3.11" or platform_system != "Windows"
catboost>=0.23.2; platform_system != "Darwin"
catboost>=0.23.2,<1.2; platform_system == "Darwin"  # https://github.com/pycaret/pycaret/issues/3563
kmodes>=0.11.1
mlxtend>=0.19.0
# Can not be 1.6.0 since parallel argument in AutoARIMA was deprecated and this is not fixed in sktime
statsforecast>=0.5.5,<1.6.0
scikit-learn-intelex>=2023.0.1; platform_machine == 'x86_64' or platform_machine == 'AMD64'

# Tuners
tune-sklearn>=0.2.1; python_version != "3.11" or platform_system != "Windows"
ray[tune]>=1.0.0; python_version != "3.11" or platform_system != "Windows"
hyperopt>=0.2.7
optuna>=3.0.0
scikit-optimize>=0.9.0

# MLOps
mlflow>=2.0.0
gradio>=3.50.2
boto3>=1.24.56  # For deploy_model method
fastapi>=0.75.0  # For web api
uvicorn>=0.17.6  # For web api
m2cgen>=0.9.0  # For model conversion
evidently>=0.1.45.dev0,<0.3  # for drift reporting

# Parallel
fugue>=0.8.0
flask>=2.0.3
Werkzeug>=2.2,<3.0
triad>=0.9.3 #0.9.3 fixes makedirs