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_2.3-2.3.31.tar.gz
(96.9 MB
view hashes)
Close
Hashes for h2o_pysparkling_2.3-2.3.31.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8de8674165a3d5ab2f967e2cf657f743ac77b350aa77d681b7412597904de9d9 |
|
MD5 | 6e6ebf413625b515f2ad1bad1eb3d357 |
|
BLAKE2b-256 | 3ee295a60f45392944c3d9e66e25be06ab435868d7583445cd0b7f29545c5419 |