Microsoft has released the 0.6 version of its ML.Net machine learning framework, aimed at .Net developers. The update adds a new and more useful model-building API set, the ability to use more ...

This is achieved by integrating TorchSharp 's NAS-BERT implementation with ML.NET. This is the same basic transformer-based model used by the Text Classification API.

New text classification API for Microsoft’s open source machine learning framework streamlines model training by using your data to fine-tune an existing model.

ML.NET version 3.0 has been officially released, introducing new features and enhancements. Notably, deep learning capabilities have been significantly expanded with advancements in Object ...

Heading the highlights of ML.NET 2.0 are new APIs for working with text, specifically text classification in Model Builder, along with a sentence similarity API.