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This repository has been archived by the owner on May 30, 2024. It is now read-only.
GRAPE makes it easy to fit a regression model with hyperparameter optimization. It strings together the workflow of model fitting, hyperparameter tuning, and model diagnostics. (model interpretability coming soon!).
- Available Regression Methods
1. Elastic Net (from sklearn)
2. Random Forest (from sklearn)
3. xgboost
4. lightgbm
- Hyperparameter Optimization
- Grape Uses Hyperopt's tree parzen estimator
"""
setuptools.setup(
name="grape-model",
version="0.0.3",
author="Joshua Cortez",
author_email="joshua.m.cortez@gmail.com",
description="GRAPE makes it easy to fit a regression model with hyperparameter optimization.",