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_3.2-3.46.0.3.post1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_scoring_3.2-3.46.0.3.post1.tar.gz
  • Upload date:
  • Size: 8.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 pkginfo/1.9.6 readme-renderer/27.0 requests/2.28.1 requests-toolbelt/1.0.0 urllib3/1.26.15 tqdm/4.65.0 importlib-metadata/4.8.1 keyring/23.2.1 rfc3986/2.0.0 colorama/0.4.5 CPython/3.6.15

File hashes

Hashes for h2o_pysparkling_scoring_3.2-3.46.0.3.post1.tar.gz
Algorithm Hash digest
SHA256 3a527d3d512b88752cab2fc035cf937f1c3721d4dfdd916b53f768343fdf443b
MD5 1a41f29a454b8954ec47ba91aa7a4769
BLAKE2b-256 917cc9257165dc39fd884ba569c3906c7889fd65a1e723c16f536af6412421f6

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