Skip to main content

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

Project description

This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.

Join the chat at https://gitter.im/h2oai/sparkling-water License Powered by H2O.ai

Documentation describing scoring with H2O-3 MOJO models is located at:

Documentation describing scoring with Driverless AI MOJO models is located at:

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

File details

Details for the file h2o_pysparkling_scoring_3.2-3.38.0.2-1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_scoring_3.2-3.38.0.2-1.tar.gz
  • Upload date:
  • Size: 7.0 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_scoring_3.2-3.38.0.2-1.tar.gz
Algorithm Hash digest
SHA256 ac1a2323fd77c57a7091b97dcfa23e7008e70f28537f91cfc028114396c427ba
MD5 0df8fc92bbb59847723411428ee4d27c
BLAKE2b-256 7ca9f51360145cc51832b1abe1e45e7dbfc4a8cf75f59ade5f637a0dffbe7d8e

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