Metadata-Version: 2.1
Name: h2o-wave-ml
Version: 0.7.0
Summary: AutoML for Wave Apps
Home-page: https://github.com/h2oai/wave-ml
Author: H2O.ai
Author-email: support@h2o.ai
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: POSIX :: Linux
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.6.1
Description-Content-Type: text/markdown
Requires-Dist: h2o
Requires-Dist: driverlessai
Requires-Dist: requests

## Automatic Machine Learning (AutoML) for Wave Apps

Wave ML (`h2o-wave-ml`) is a companion package for H2O Wave that makes it quick and easy to integrate AI/ML models into your applications.

Wave ML provides a simple, high-level API for training, deploying, scoring and explaining machine learning models, letting you build predictive and decision-support applications entirely in Python.

Wave ML runs on Linux, OSX, and Windows, and utilizes [H2O.ai's](https://h2o.ai) open-source [H2O](https://github.com/h2oai/h2o-3) and [AutoML](https://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html) under the hood.

When Wave apps are run in [H2O AI Hybrid Cloud](https://www.h2o.ai/hybrid-cloud/) with GPU support, Wave ML optionally switches over to [Driverless AI](https://www.h2o.ai/products/h2o-driverless-ai/) for automatic feature engineering, machine learning, model deployment, and monitoring.


