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_3.2-3.40.0.2-1.tar.gz.

File metadata

  • Download URL: h2o_pysparkling_scoring_3.2-3.40.0.2-1.tar.gz
  • Upload date:
  • Size: 7.3 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_scoring_3.2-3.40.0.2-1.tar.gz
Algorithm Hash digest
SHA256 adb1bbc5e841e94193429fb647cedf0c597916a3a8dffbdf8def0a6ff0a0de9a
MD5 7b67fe27d916af106df995389fa696e0
BLAKE2b-256 fd8b12eb9eed1a24290084b1e679d7cd0b30b85e857afa22d1ff6f04f266a74f

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