Skip to main content

PySparkling

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:

Release files for h2o-pysparkling-3.2 3.46.0.6.post1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for h2o-pysparkling-3.2 3.46.0.6.post1
File Size Uploaded
h2o_pysparkling_3.2-3.46.0.6.post1.tar.gz 232.4 MB Details

Release files / h2o_pysparkling_3.2-3.46.0.6.post1.tar.gz

Download URL h2o_pysparkling_3.2-3.46.0.6.post1.tar.gz
Size 232.4 MB
Tags Source
SHA-256 checksum
How to use checksums
64f6acc15c476083215fef7ad231dc7bd90a705de682f3a2824787a929fccf04
BLAKE2b-256 checksum
How to use checksums
a1216cd07f47472a82f3babedd2c1a9f4812d3fbb68ee6a45406e48536359edf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/0.0.0 pkginfo/1.9.6 readme-renderer/27.0 requests/2.28.1 requests-toolbelt/1.0.0 urllib3/1.26.15 tqdm/4.65.0 importlib-metadata/4.8.1 keyring/23.2.1 rfc3986/2.0.0 colorama/0.4.5 CPython/3.6.15
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page