UWP-MachineLearning-Sample
December 4, 2019 ยท View on GitHub
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:
