Each machine learning framework has its own basic data model and it is part of the ‘data preparation’ to convert the existing data to the required input format of the specific framework.

Most of these frameworks also provide a direct access to some predefined data-sets (e.g iris, mnist etc)

I tried to do a quick overview on how to exchange the data between the following frameworks

  • DeepLearning for Java (DL4J)
  • Scala MLlib
  • Shogun

so that the data from one framework can be easily re-used by the other frameworks.

The document is available in the following GIST.

 


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