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Introduction

The libalgo is an simple abstracted library over two ML libs - Spark MLLIB http://spark.apache.org/docs/latest/mllib-guide.html and XGBoost https://xgboost.readthedocs.io/en/latest/. The basic premise is to use the Spark DS and provide necessary underlying implementation simple enough for anybody to use.

#To Consume

  • The library can be compiled using the maven pom.xml, except the xgboost dependency. Please refer to the docs of XGBoost to compile and install.

#To execute There are sample programs as well as datasets which can be executed for running the applications. The sample applications are written in Scala and famililarity with Scala is a must.

TODO

  • Better documentation
  • More examples and sample datasets

License

MIT

Support

  • Raise issue on github

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Machine learning abstracted library.

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