SharpLearning | Machine learning for C # .Net | Machine Learning library

by mdabros C# Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | SharpLearning Summary

SharpLearning is a C# library typically used in Artificial Intelligence, Machine Learning applications. SharpLearning has no bugs, it has no vulnerabilities and it has low support. However SharpLearning has a Non-SPDX License. You can download it from GitHub.

Machine learning for C# .Net

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Quality

Security

License

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Support

SharpLearning has a low active ecosystem.

It has 356 star(s) with 79 fork(s). There are 33 watchers for this library.

It had no major release in the last 6 months.

There are 43 open issues and 45 have been closed. On average issues are closed in 166 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of SharpLearning is current.

Quality

SharpLearning has 0 bugs and 0 code smells.

Security

SharpLearning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

SharpLearning code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SharpLearning has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

SharpLearning releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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SharpLearning Key Features

No Key Features are available at this moment for SharpLearning.

SharpLearning Examples and Code Snippets

No Code Snippets are available at this moment for SharpLearning.

Community Discussions

Trending Discussions on SharpLearning

How to predict/score XGBoost or LightGBM in .NET Framework 4.6.1 application

QUESTION

How to predict/score XGBoost or LightGBM in .NET Framework 4.6.1 application

Asked 2019-Jul-11 at 23:29

I have a machine learning problem where I have obtained very good results on training/test data using both LightGBM and XGBoost. The next step is to obtain predictions from one of these models into an existing C# application (.NET Framework 4.6.1) Is there any library that can help me do this? What I have tried so far:

ML.NET: Should work for LigthGBM, but due to this bug it works only for .NET Core.
Windows.ML: This should be able to predict an ONNX model, and I managed to create an ONNX model from my XGBoost model. But Windows.ML seems to work only for UWP apps, at least all samples are UWP.
SharpLearning: This library has an interface to XGBoost. Unfortunately, it does not support sample weights, which I rely upon.
CNTK: Tried to load the ONNX file (similar to this example), but get: Error: ONNX (TreeEnsembleClassifier) is not supported in CNTK.

Any suggestions, or do I have to wait for ML.NET to fix the bug?

...

ANSWER

Answered 2019-Jul-11 at 23:29

I was able to use LightGBM in a net461 console application. The above bug only occurs if you are using packages.config to manage your NuGet packages. In order to work around the listed bug in the LightGBM nuget package, you can take one of the following approaches:

Use a new "SDK-style" .csproj, but set the TargetFramework to net461.

Source https://stackoverflow.com/questions/51579217

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install SharpLearning

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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