Add third party notices to package description on PyPI

src/python/README.md

@@ -1,27 +1,35 @@
-NimbusML
+# NimbusML
 
-`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 a Python module that provides Python bindings for [ML.NET](https://github.com/dotnet/machinelearning). 
+
+`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 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:
+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, which allows training on data significantly
-exceeding memory using `FileDataStream`.
+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 **billion** features
- and **billions** of training examples for select algorithms.
+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:
-<https://docs.microsoft.com/en-us/nimbusml>.
+<https://docs.microsoft.com/en-us/nimbusml>.
+
+## 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](https://github.com/microsoft/NimbusML/blob/master/THIRD-PARTY-NOTICES.txt)
+for full licensing information for ML.NET and .NET Core CLR.