https://github.com/xamlbrewer/uwp-machinelearning-sample
Demonstrates how to use ML.NET to implement some Machine Learning use cases in UWP.
https://github.com/xamlbrewer/uwp-machinelearning-sample
machine-learning ml-net oxyplot uwp
Last synced: 9 months ago
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Demonstrates how to use ML.NET to implement some Machine Learning use cases in UWP.
- Host: GitHub
- URL: https://github.com/xamlbrewer/uwp-machinelearning-sample
- Owner: XamlBrewer
- Created: 2018-12-31T09:18:41.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2022-02-27T08:49:36.000Z (almost 4 years ago)
- Last Synced: 2025-03-26T21:13:19.276Z (10 months ago)
- Topics: machine-learning, ml-net, oxyplot, uwp
- Language: C#
- Homepage: https://xamlbrewer.wordpress.com/category/ml-net/
- Size: 16.5 MB
- Stars: 88
- Watchers: 11
- Forks: 26
- Open Issues: 2
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Metadata Files:
- Readme: README.md
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README
# UWP-MachineLearning-Sample
Demonstrates how to use ML.NET and Oxyplot to implement some Machine Learning use cases in an MVVM UWP app. Currently works against ML.NET v1.3.1 and is tested against v1.4.0-preview.
If you want to see these same ML.NET scenarios in Jupyter Notebooks and XPlot, then visit https://github.com/XamlBrewer/ML.NET-Jupyter-Notebooks.
## Look mom, no Python
The UWP app demonstrates the following Machine Learning scenarios:
* Clustering
* Multiclass Classification
* Binary Classification
* Regression
* Feature Contribution Calculation
* Permutation Feature Importance Calculation
* Recommendation
* Recommendation using Field-Aware Factorization Machine
* Automated model generation with AutoML
* Feature Distribution Analysis with Boxplot Diagrams
* Feature Correlation Analysis with Heatmap Diagrams
## Seeing is believing:
