Metadata-Version: 2.1
Name: grape-model
Version: 0.0.2
Summary: GRAPE makes it easy to fit a regression model with hyperparameter optimization.
Home-page: https://github.com/joshuacortez/grape
Author: Joshua Cortez
Author-email: joshua.m.cortez@gmail.com
License: UNKNOWN
Description: 
        # GRAPE
        GRAPE is a regression API in Python environment
        
        # Description
        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
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
