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_2.1-3.26.2.tar.gz
(96.8 MB
view hashes)
Close
Hashes for h2o_pysparkling_2.1-3.26.2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7125b7fe8d8670a646d4184cf682ca0760f5f9ee11896b449e9c7391d7626820 |
|
MD5 | 1c206e7d40ab0ac2dc425a4e8d27a1b7 |
|
BLAKE2b-256 | 785a92e47a8f99f03afaac64e8470835c228692ee0d7298673132d1018ce9b03 |