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_3.0-3.34.0.7-1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | e47ae375a0cd0821f8da9c0f474358e8056b3f747478d3986594f7155747acd4 |
|
MD5 | 4252c7488d37e5a0d0d75ac68b7a4fcc |
|
BLAKE2b-256 | fd7e5d90283ea1bce548218ece275d42c50264c5643fbd00d3206b0e12827920 |