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, H2O-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_2.2-3.36.1.2-1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_scoring_2.2-3.36.1.2-1.tar.gz
  • Upload date:
  • Size: 8.1 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 urllib3/1.26.9 tqdm/4.64.0 importlib-metadata/3.10.1 keyring/23.1.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.6.13

File hashes

Hashes for h2o_pysparkling_scoring_2.2-3.36.1.2-1.tar.gz
Algorithm Hash digest
SHA256 64cb54c96842d879fe2133594868ab35ead54ca552e7d931c78e1b8a42614598
MD5 4b4aa1864e0ed13a289860811981af35
BLAKE2b-256 b17bf034635055571fc0750e03efd412224f37db1d84bd571bd05221caad412b

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