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_3.0-3.30.0.5-1.tar.gz
(115.7 MB
view hashes)
Close
Hashes for h2o_pysparkling_3.0-3.30.0.5-1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 802b2cb3ec8a49e7bbcf7f78f2d8366b6a9c6572d5279a5a4caadbe8c0eb73fb |
|
MD5 | 370ece410bd623e6e6066d634581c0ae |
|
BLAKE2b-256 | 4f6b59cff08b25435408a4c1bbd6a95509974e4b33021d0612587bbffcb9f50b |