Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark
Project description
PySparkling Documentation is hosted at our documentation page:
For Spark 3.0 - http://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/pysparkling.html
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_3.0-3.32.0.1-2.tar.gz
(167.4 MB
view hashes)
Close
Hashes for h2o_pysparkling_3.0-3.32.0.1-2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 86394a708abb9f2363d9df4e9217b591fe80510976ba26d836c5980d1084f425 |
|
MD5 | 43a2ca259de6283e8456c82d4b33c0e2 |
|
BLAKE2b-256 | 7d059adcfa28320642a42cc069e95cee3f0614a611f6724e4f372f0bf9fc572c |