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_2.1-3.28.1.2-1.tar.gz
(113.4 MB
view hashes)
Close
Hashes for h2o_pysparkling_2.1-3.28.1.2-1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 558e86ec8b2528888e279739860143cdd6fb38efdf2547b8c25d4da47569f71f |
|
MD5 | cad6daa601e63b4d682356a76847eb49 |
|
BLAKE2b-256 | e7ff2aee92589d3c96df4569e583b308623734314981f24b9e96382d77302641 |