Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark
Project description
This package contains just functionality for scoring with Sparkling Water, H20-3 and Driverless AI MOJO models.
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
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
Hashes for h2o_pysparkling_scoring_2.3-3.32.1.4-1.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cc757285b3044f2495ac95fee7a1231ef73b3a8f0214703dd62ef099911faa66 |
|
| MD5 | a6a038b64fe21eded4fe362bbcf03a6d |
|
| BLAKE2b-256 | b62baeb7fbf5145c97988973bac0be84a465abf5d76ab7db155a7f63a4133eed |
