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_3.1-3.32.1.7-1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9feed0491e33e1cbb987b233a16e452d03978c2ff2ed702da52afa8afaa50663 |
|
MD5 | b8eb5578e4ba573b29ab7890db7e777e |
|
BLAKE2b-256 | f6c422f3c0c949cf8c65e142e16fc4910dd1b869c346c85d3eb57e5b62faf955 |