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_3.3-3.38.0.4-1.tar.gz (162.2 MB view details)

Uploaded Source

File details

Details for the file h2o_pysparkling_3.3-3.38.0.4-1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_3.3-3.38.0.4-1.tar.gz
  • Upload date:
  • Size: 162.2 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_3.3-3.38.0.4-1.tar.gz
Algorithm Hash digest
SHA256 7da51c0e967c8242fb071f86ca858f7abff6233acf609f04f38df0dfeb1c04b1
MD5 7c4efc592a1a8ae25397efd9480bdf9c
BLAKE2b-256 a6ac6446a537de8236b6a45a23f816a50ee994c55f76229c1a87138e2899a362

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