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_3.1-3.38.0.2-1.tar.gz (161.8 MB view details)

Uploaded Source

File details

Details for the file h2o_pysparkling_3.1-3.38.0.2-1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_3.1-3.38.0.2-1.tar.gz
  • Upload date:
  • Size: 161.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 pkginfo/1.8.3 readme-renderer/27.0 requests/2.28.1 requests-toolbelt/0.9.1 urllib3/1.26.11 tqdm/4.64.0 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_3.1-3.38.0.2-1.tar.gz
Algorithm Hash digest
SHA256 f92de82166d3120ca741336f37a4d0d58d38c8757627bf3dee4bb1aa038b3505
MD5 c62aed0058a0e77317d857c1a4a1bf59
BLAKE2b-256 ab478b29abb8d4b8500ab7f3ab5234d276fce23523f52f46a4e968250784b03c

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