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.
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.
