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_2.2-3.28.0.3-1.tar.gz
(104.2 MB
view hashes)
Close
Hashes for h2o_pysparkling_2.2-3.28.0.3-1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ba68c34c235423046c9515a9b1d19ffa5c407661538980c541ba79bab559f123 |
|
MD5 | a15d6bc1ef347bb9cd4d94490672e239 |
|
BLAKE2b-256 | dfef449db2fef2facb283d00a3e2e8ae3358ad78cf79effebc4c9008533b768e |