Metadata-Version: 1.1
Name: h2o_pysparkling_scoring_2.2
Version: 3.36.1.4-1
Summary: Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark
Home-page: https://github.com/h2oai/sparkling-water
Author: H2O.ai
Author-email: support@h2o.ai
License: Apache v2
Download-URL: https://github.com/h2oai/sparkling-water/
Description: PySparkling - Scoring
        =====================
        
        This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.
        
        |Join the chat at https://gitter.im/h2oai/sparkling-water| |License| |Powered by H2O.ai|
        
        Documentation describing scoring with H2O-3 MOJO models is located at:
        
        - For Spark 3.3 - https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo.html
        - For Spark 3.2 - https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo.html
        - For Spark 3.1 - https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo.html
        - For Spark 3.0 - https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo.html
        - For Spark 2.4 - https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo.html
        - For Spark 2.3 - https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo.html
        - For Spark 2.2 - https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo.html
        
        Documentation describing scoring with Driverless AI MOJO models is located at:
        
        - For Spark 3.3 - https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo_pipeline.html
        - For Spark 3.2 - https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo_pipeline.html
        - For Spark 3.1 - https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo_pipeline.html
        - For Spark 3.0 - https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo_pipeline.html
        - For Spark 2.4 - https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo_pipeline.html
        - For Spark 2.3 - https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo_pipeline.html
        - For Spark 2.2 - https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo_pipeline.html
        
        .. |Join the chat at https://gitter.im/h2oai/sparkling-water| image:: https://badges.gitter.im/Join%20Chat.svg
           :target: Join the chat at https://gitter.im/h2oai/sparkling-water?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge
        .. |License| image:: https://img.shields.io/badge/License-Apache%202-blue.svg
           :target: LICENSE
        .. |Powered by H2O.ai| image:: https://img.shields.io/badge/powered%20by-h2oai-yellow.svg
           :target: https://github.com/h2oai/
        
Keywords: machine learning,data mining,statistical analysis,modeling,big data,distributed,parallel,scoring
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
