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GRAPE makes it easy to fit a regression model with hyperparameter optimization.

Project 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

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