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Large-Scale Multi-View Learning in PySpark

@jpdunc23 / (0)

SparKLe implements the methods of Solari et al. (2019) for large-scale multi-view learning with the aim of inferring non-linear, yet interpretable, associations between multiple sets of high-dimensional covariates from observations on matching subjects.

Tags

  • 1|machine learning
  • 1|pyspark

How to

This package doesn't have any releases published in the Spark Packages repo, or with maven coordinates supplied. You may have to build this package from source, or it may simply be a script. To use this Spark Package, please follow the instructions in the README.

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