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_2.3-3.26.7.tar.gz
(102.8 MB
view hashes)
Close
Hashes for h2o_pysparkling_2.3-3.26.7.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | b377ca5e8c4ef89bb43c84ef811970c817e6775d1f694192b12401dae27ae9c0 |
|
MD5 | f61d54f7651dc8539615e7163f1b10ac |
|
BLAKE2b-256 | 87bfdda3e4aa1335ea897b937410c58c15aa552716511faf035ce3923ee90917 |