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


Release history Release notifications | RSS feed

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_2.3-3.36.1.1-1.tar.gz (163.2 MB view details)

Uploaded Source

File details

Details for the file h2o_pysparkling_2.3-3.36.1.1-1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_2.3-3.36.1.1-1.tar.gz
  • Upload date:
  • Size: 163.2 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_2.3-3.36.1.1-1.tar.gz
Algorithm Hash digest
SHA256 6083c913a1467e6972aa1e111c0040daf163c8655e0a0d21d97d003e2020a890
MD5 da82102346751241283e63099df59394
BLAKE2b-256 f07a72d592e62d2e2f52812c9a5821df7a51dfc14384e58987e1ea41c73acbce

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