Skip to content
This repository was archived by the owner on Nov 16, 2023. It is now read-only.

Commit c286df1

Browse files
authored
Add third party notices to package description on PyPI (#341)
* Add third party notices to package description on PyPI * update * update
1 parent fd40a4a commit c286df1

File tree

1 file changed

+24
-16
lines changed

1 file changed

+24
-16
lines changed

src/python/README.md

Lines changed: 24 additions & 16 deletions
Original file line numberDiff line numberDiff line change
@@ -1,27 +1,35 @@
1-
NimbusML
1+
# NimbusML
22

3-
`nimbusml` provides battle-tested state-of-the-art ML algorithms,
4-
transforms and components, aiming to make them useful for all
5-
developers, data scientists, and information workers and helpful in all
6-
products, services and devices. The components are authored by the team
7-
members, as well as numerous contributors from MSR, CISL, Bing and other
8-
teams at Microsoft.
3+
`nimbusml` is a Python module that provides Python bindings for [ML.NET](https://github.com/dotnet/machinelearning).
4+
5+
`nimbusml` aims to enable data science teams that are more familiar with Python
6+
to take advantage of ML.NET's functionality and performance. It provides
7+
battle-tested, state-of-the-art ML algorithms, transforms, and components. The
8+
components are authored by the team members, as well as numerous contributors
9+
from MSR, CISL, Bing, and other teams at Microsoft.
910

1011
`nimbusml` is interoperable with `scikit-learn` estimators and transforms,
11-
while adding a suite of highly optimized algorithms written in C++ and
12-
C\# for speed and performance. `nimbusml` trainers and transforms support
13-
the following data structures for the `fit()` and `transform()` methods:
12+
while adding a suite of fast, highly optimized, and scalable algorithms written
13+
in C++ and C\#. `nimbusml` trainers and transforms support the following data
14+
structures for the `fit()` and `transform()` methods:
1415

1516
- `numpy.ndarray`
1617
- `scipy.sparse_cst`
1718
- `pandas.DataFrame`.
1819

19-
In addition, `nimbusml` also supports streaming from files without loading
20-
the dataset into memory, which allows training on data significantly
21-
exceeding memory using `FileDataStream`.
20+
In addition, `nimbusml` also supports streaming from files without loading the
21+
dataset into memory with `FileDataStream`, which allows training on data
22+
significantly exceeding memory.
2223

23-
With `FileDataStream` `nimbusml` is able to handle up to **billion** features
24-
and **billions** of training examples for select algorithms.
24+
With `FileDataStream`, `nimbusml` is able to handle up to a **billion**
25+
features and **billions** of training examples for select algorithms.
2526

2627
For more details, please refer to the documentation:
27-
<https://docs.microsoft.com/en-us/nimbusml>.
28+
<https://docs.microsoft.com/en-us/nimbusml>.
29+
30+
## Third party notices
31+
32+
`nimbusml` contains ML.NET binaries and the .NET Core CLR runtime, as well as
33+
their dependencies. Both ML.NET and .NET Core CLR are made available under the
34+
MIT license. Please refer to the [third party notices](https://github.com/microsoft/NimbusML/blob/master/THIRD-PARTY-NOTICES.txt)
35+
for full licensing information for ML.NET and .NET Core CLR.

0 commit comments

Comments
 (0)