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_3.1-3.34.0.4-1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | f2a5f31d544105cde3b8a9c36e3067a33ccd0a3ff37e28b7cb2ccbb46c97333b |
|
MD5 | f1d679c93e9b972386b5ffbc73c24467 |
|
BLAKE2b-256 | 9bd9431b240abd07a3fb9b173f695a12933f461526c9fdfaba28fb55f8202490 |