Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

grape-model-0.0.1.tar.gz (1.4 kB view hashes)

Uploaded Source

Built Distribution

grape_model-0.0.1-py3-none-any.whl (2.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page