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_2.3-3.40.0.3-1.tar.gz (163.5 MB view details)

Uploaded Source

File details

Details for the file h2o_pysparkling_2.3-3.40.0.3-1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_2.3-3.40.0.3-1.tar.gz
  • Upload date:
  • Size: 163.5 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/0.10.1 urllib3/1.26.14 tqdm/4.64.1 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_2.3-3.40.0.3-1.tar.gz
Algorithm Hash digest
SHA256 ed7fcb6f6eb66c04ecdfc8912169a569c0d6939d7644867915754c5c82e0bebc
MD5 4cfff029af085033ad8ced5ab923191f
BLAKE2b-256 82f29d20d05571c1569cc38e5fcc8bc4bf4d4786e6f0060813c744115ed8c2f7

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