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

Documentation describing scoring with H2O-3 MOJO models is located at:

Documentation describing scoring with Driverless AI MOJO models is located at:

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_2.2-3.36.0.4-1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_scoring_2.2-3.36.0.4-1.tar.gz
  • Upload date:
  • Size: 8.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 pkginfo/1.8.2 readme-renderer/27.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/3.10.1 keyring/23.1.0 rfc3986/2.0.0 colorama/0.4.3 CPython/3.6.13

File hashes

Hashes for h2o_pysparkling_scoring_2.2-3.36.0.4-1.tar.gz
Algorithm Hash digest
SHA256 6895e3e30cd4c220715ffd87da5690689984c42c5a02bd8ed830286ef4a91eca
MD5 eab2d9fd146e97f4975ee1154cef8fd5
BLAKE2b-256 2a87329b4f1c0c570ba56a7364c8db9a7d8ddf410cbfd1b80b7f07ae3621b03b

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