PySparkling
This package contains complete functionality for training and scoring Sparkling Water/H2O-3 MOJO models. It’s also possible to use this package for scoring with Driverless AI MOJO models.
PySparkling Documentation is hosted at our documentation page:
For Spark 3.3 - http://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/pysparkling.html
For Spark 3.2 - http://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/pysparkling.html
For Spark 3.1 - http://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/pysparkling.html
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
Metadata
Release files for h2o-pysparkling-3.2 3.40.0.1.post1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| h2o_pysparkling_3.2-3.40.0.1-1.tar.gz | 162.2 MB | Without provenance | Details |
Release files / h2o_pysparkling_3.2-3.40.0.1-1.tar.gz
| Download URL | h2o_pysparkling_3.2-3.40.0.1-1.tar.gz |
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| Size | 162.2 MB |
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twine/0.0.0 pkginfo/1.9.6 readme-renderer/27.0 requests/2.28.1 requests-toolbelt/0.10.1 urllib3/1.26.14 tqdm/4.64.1 importlib-metadata/4.8.1 keyring/23.2.1 rfc3986/2.0.0 colorama/0.4.5 CPython/3.6.15
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