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_2.4-3.34.0.8-1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1f89f1aa748fa51fa7b2ab4b5a55f7032eabcdac89f8f8db4d43890ffc400a8b |
|
MD5 | 37bb64aed641d9f89bf6d62b7b0ada40 |
|
BLAKE2b-256 | d77127b444842b8ecf2a5b774ee205d95906e3d4ebcbdc034c5a1ca56d1a54bc |