GraphLinq.MachineLearning

Plugin for the GraphLinq Engine that uses Machine Learning to process a string of data.
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Table of Contents

1. About The Project
2. Getting Started
3. Contributing
4. Contact

About The Project

This plugin will allow a Graph to consume data, create a dataset, train a model, and make predictions using ML.NET.

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Getting Started

• Add the Machine Learning block to a graph.
• Add a string to the input with the data you want to test.
• Output string will return a Boolean of True or False.
  • Sentiment: True is a positive sentiment, false is a negative sentiment.
  • Spam: True is spam, false is not spam.

Examples

Positive Sentiment

Negative Sentiment

The Spam detection block works the exact same way as the example above.

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Contributing

If you have a suggestion that would make this repository better, please fork the repo and create a pull request. You can also simply open an issue. Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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Contact

GraphLinq Protocol - @graphlinq_proto

Project Home: https://graphlinq.io

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