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_2.1-3.30.0.3-1.tar.gz
(116.3 MB
view hashes)
Close
Hashes for h2o_pysparkling_2.1-3.30.0.3-1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | f37be4b679a8beb871934026fca5d2b4c5bba84d4c1a5bf3d5622d35006950e2 |
|
MD5 | 75b59192ad0b91df4afab363654a2d81 |
|
BLAKE2b-256 | 898325ece4ed19dd8ac1a24bff0ba27fcce5b26338dc3a41e796fd87fb5068af |