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
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_3.0-3.34.0.6-1.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7399d6031b36ce07c656689e447cd2d2a8a059ae6645ae09618e9a6f2da73aec |
|
| MD5 | 3cc4a8985bcac776fdfcf317d25d1032 |
|
| BLAKE2b-256 | 271f41d8371c5c0fc56dde8eab6823804eb62451cdb118b9e3b7d95f9972a8aa |
