Skip to main content

Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark

Project description

This package contains just functionality for scoring with Sparkling Water, H20-3 and Driverless AI MOJO models.

Join the chat at https://gitter.im/h2oai/sparkling-water License Powered by H2O.ai

PySparkling Documentation is hosted at our documentation page:

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

File details

Details for the file h2o_pysparkling_scoring_3.1-3.34.0.7-1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_scoring_3.1-3.34.0.7-1.tar.gz
  • Upload date:
  • Size: 6.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.13

File hashes

Hashes for h2o_pysparkling_scoring_3.1-3.34.0.7-1.tar.gz
Algorithm Hash digest
SHA256 6c2cef5af2277b2e74e80ef4cefb9a82931e32e282618d8baaf9da8f78d41429
MD5 6daad1c0971513f3fe786364f19960a3
BLAKE2b-256 fbc2916ad0a24299ec75d00614bccff61aa539b5f9b4a95d1fa05165005d8c7c

See more details on using hashes here.

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