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_3.2-3.38.0.3-1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_scoring_3.2-3.38.0.3-1.tar.gz
  • Upload date:
  • Size: 7.3 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_3.2-3.38.0.3-1.tar.gz
Algorithm Hash digest
SHA256 a98cd21b0fcf38f4499b48c2c1feea18cada433f5bb17e4217087ad422d5c872
MD5 314920ca21a0a3dff74eac46c010cab1
BLAKE2b-256 719ecacba1fcec252e37e403403d76e2347dc5e7a4e3ba92183497f53f53647e

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