Skip to content
Demonstrates how to use ML.NET to implement some Machine Learning use cases in UWP.
Branch: master
Clone or download
Latest commit 7de3dcd May 9, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
Assets Binary Classification: harmonized the evaluation. Apr 12, 2019
XamlBrewer.Uwp.MachineLearningSample
.gitattributes Add .gitignore and .gitattributes. Dec 26, 2018
.gitignore Add .gitignore and .gitattributes. Dec 26, 2018
README.md Update README.md May 9, 2019
XamlBrewer.Uwp.MachineLearningSample.sln Add project files. Dec 26, 2018

README.md

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 v1.0.0.

Look mom, no Python

The UWP app demonstrates the following Machine Learning scenarios:

  • Clustering
  • Multiclass Classification
  • Binary Classification
  • Regression
  • Recommendation
  • Recommendation using Field-Aware Factorization Machine
  • Feature Distribution Analysis with Boxplot Diagrams
  • Feature Correlation Analysis with Heatmap Diagrams

Seeing is believing

Screenshot

Screenshot

Screenshot

Screenshot

Screenshot

Screenshot

Screenshot

Screenshot

You can’t perform that action at this time.