Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark
Project description
This package contains just functionality for scoring with Sparkling Water, H20-3 and Driverless AI MOJO models.
PySparkling Documentation is hosted at our documentation page:
For Spark 3.0 - http://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/pysparkling.html
For Spark 2.4 - http://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/pysparkling.html
For Spark 2.3 - http://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/pysparkling.html
For Spark 2.2 - http://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/pysparkling.html
For Spark 2.1 - http://docs.h2o.ai/sparkling-water/2.1/latest-stable/doc/pysparkling.html
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
Hashes for h2o_pysparkling_scoring_3.0-3.32.1.7-1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | b5ac3aec68509cca33d60c7998be669db7754e847e024ab49cbec477c43624f6 |
|
MD5 | d4d0391c3b06c6abb607fe93499c8a3f |
|
BLAKE2b-256 | cea07e8965a14c98d67b7af29b461fd3573bc7d83c26d01d45f437296744d061 |