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_2.4-3.28.1.1-1.tar.gz
(113.4 MB
view hashes)
Close
Hashes for h2o_pysparkling_2.4-3.28.1.1-1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | b64454e3830bd025482bc05aa64d5c15e7f4dfbeabadd87891109bf338d1ef84 |
|
MD5 | 378088ccc1a6f02e2952bc03e32d6651 |
|
BLAKE2b-256 | 12b0510b2dd306daebbbeccd46e6b20dd7b085506deb8f91a593200036767429 |