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_2.2-3.32.0.1-2.tar.gz
(168.0 MB
view hashes)
Close
Hashes for h2o_pysparkling_2.2-3.32.0.1-2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a4fd01a7340012877ba26709beb8eeb12ae1ff9356849268840d6f33d917c25c |
|
MD5 | c75669ccda52c003af02fdf583baded2 |
|
BLAKE2b-256 | 7c9cd40b57430d06a8e5282f6e3af70d08b00404b23a08a23e5fc3810acc2e1c |