News

To quickly get started, we offer Jupyter Notebook examples for hundreds of use-cases including: Forest Inference LIbrary: Shows the procedure to deploy a XGBoost model in Triton Inference Server ...
This example uses Scikit-learn’s small handwritten digit data set to demonstrate semi-supervised learning using a Label Spreading model. Only 30 of the 1,797 total samples were labeled.
The new interface for Azure’s automated machine learning tool makes creating a model as easy as importing a data set and then telling the service which value to predict.