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_2.1-3.26.6.tar.gz
(101.2 MB
view hashes)
Close
Hashes for h2o_pysparkling_2.1-3.26.6.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | c3485448c74fc5c51e844c6b6247578efcd5a817c2a29631dde1f349d2a4b00e |
|
MD5 | e359f97e9d5b1000ac088a43c45c06e3 |
|
BLAKE2b-256 | 33ad52c3759a3ae638370c9d621df0f80e6c5e76e47da1a6c84c576a38cf7e48 |