nimbusml is a Python module that provides experimental 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
nimbusml also supports streaming from files without loading the
dataset into memory with
FileDataStream, which allows training on data
significantly exceeding memory.
nimbusml is able to handle up to a billion
features and billions of training examples for select algorithms.
NimbusML can be easily used for the following problems:
- Binary classification
- Multiclass classification
For more details, please refer to the tutorial section.