Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark
Project description
PySparkling Documentation is hosted at our documentation page:
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
h2o_pysparkling_2.2-3.26.9.tar.gz
(101.4 MB
view hashes)
Close
Hashes for h2o_pysparkling_2.2-3.26.9.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 75803a9c778220b18d9f9b6e19660fa0a09462da4756cde5378bf08fe7b0d510 |
|
MD5 | e4d3d2d9c1a10bd6bc08f8436735499a |
|
BLAKE2b-256 | e4a4ae3897b57f387269d4bb2da382b0c00f08d47a46e09848ded3d9c29d1306 |