Stratified Cross Validator for Spark
About
Spark Stratifier is a tool with a class extension of the current Spark CrossValidator class. It is aimed to stratify datasets in order to eliminate inconsistent cross validations when working with datasets containing unbalanced classes. It is currently built on numpy and Spark, and provides efficient dataset stratifications.
To learn more, please follow this link to our Github repo.
2 maintainers
Metadata
2 maintainers
Release files for spark-stratifier 0.1.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| spark_stratifier-0.1.5.tar.gz | 2.2 kB | Without provenance | Details for spark_stratifier-0.1.5.tar.gz |
Release files / spark_stratifier-0.1.5.tar.gz
| Download URL | spark_stratifier-0.1.5.tar.gz |
|---|---|
| Size | 2.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.2.0 requests-toolbelt/0.9.1 tqdm/4.25.0 CPython/3.6.6
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