Skip to main content

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

Project description

This package contains complete functionality for training and scoring Sparkling Water/H2O-3 MOJO models. It’s also possible to use this package for scoring with 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

h2o_pysparkling_3.3-3.46.0.3.post1.tar.gz (232.4 MB view details)

Uploaded Source

File details

Details for the file h2o_pysparkling_3.3-3.46.0.3.post1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_3.3-3.46.0.3.post1.tar.gz
  • Upload date:
  • Size: 232.4 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_3.3-3.46.0.3.post1.tar.gz
Algorithm Hash digest
SHA256 c436b0791c5c39b82d0aafc33a2811f28164ec342cef68a0495b5d4d655a6872
MD5 25999baf414cf7977f3ec7b8e8010165
BLAKE2b-256 0c6397b257c887fa288c271b5cd68d27008995ee7e4fd7208a6bdea483cf5afd

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