Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark
Project description
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.
PySparkling Documentation is hosted at our documentation page:
For Spark 3.5 - http://docs.h2o.ai/sparkling-water/3.5/latest-stable/doc/pysparkling.html
For Spark 3.4 - http://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/pysparkling.html
For Spark 3.3 - http://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/pysparkling.html
For Spark 3.2 - http://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/pysparkling.html
For Spark 3.1 - http://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/pysparkling.html
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
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_3.0-3.44.0.3.post1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0492dd4dd29cf52e792bcb9a651567b46c424a1602308d7440dd01ec8c07c4aa |
|
MD5 | 9216b34d2dd997747524f31443904d03 |
|
BLAKE2b-256 | eaff98b00352e9d57105df97a32b784c20858abfa22de5bb3dc64634ada321a9 |