nimbusml provides battle-tested state-of-the-art ML algorithms,
transforms and components, aiming to make them useful for all
developers, data scientists, and information workers and helpful in all
products, services and devices. 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 highly optimized algorithms written in C++ and
C# for speed and performance. nimbusml trainers and transforms support
the following data structures for the fit() and transform() methods:
In addition, nimbusml also supports streaming from files without loading
the dataset into memory, which allows training on data significantly
exceeding memory using FileDataStream.
With FileDataStreamnimbusml is able to handle up to billion features
and billions of training examples for select algorithms.