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Project description


nimbusml is a Python module that provides Python bindings for ML.NET.

nimbusml aims to enable data science teams that are more familiar with Python to take advantage of ML.NET's functionality and performance. It provides battle-tested, state-of-the-art ML algorithms, transforms, and components. The components are authored by the team members, as well as numerous contributors from MSR, CISL, Bing, and other teams at Microsoft.

nimbusml is interoperable with scikit-learn estimators and transforms, while adding a suite of fast, highly optimized, and scalable algorithms written in C++ and C#. nimbusml trainers and transforms support the following data structures for the fit() and transform() methods:

  • numpy.ndarray
  • scipy.sparse_cst
  • pandas.DataFrame.

In addition, nimbusml also supports streaming from files without loading the dataset into memory with FileDataStream, which allows training on data significantly exceeding memory.

With FileDataStream, nimbusml is able to handle up to a billion features and billions of training examples for select algorithms.

For more details, please refer to the documentation:

Third party notices

nimbusml contains ML.NET binaries and the .NET Core CLR runtime, as well as their dependencies. Both ML.NET and .NET Core CLR are made available under the MIT license. Please refer to the third party notices for full licensing information for ML.NET and .NET Core CLR.

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