machine-learning - Infer.NET 与 ML.NET(微软机器学习框架)

Question

在微软变得更加开源友好之后，我开始看到越来越多的人开始重视机器​​学习，比如 ML.NET 和 Infer.NET。我想知道，两者有什么区别，因为两者都来自微软。这两个框架的优缺点是什么？

Answer 1

来自 MSDN:

https://blogs.msdn.microsoft.com/dotnet/2018/10/08/announcing-ml-net-0-6-machine-learning-net/

Infer.NET is now open-source and becoming part of the ML.NET family

On October 5th 2018, Microsoft Research announced the open-sourcing of Infer.NET – a cross-platform framework for model-based machine learning.

Infer.NET differs from traditional machine learning frameworks in that it requires users to specify a statistical model of their problem. This allows for high interpretability, incorporating domain knowledge, doing unsupervised/semi-supervised learning, as well as online inference – the ability to learn as new data arrives. The approach and many of its applications are described in our free online book for beginners.

Places where Infer.NET is used at Microsoft include TrueSkill – a skill rating system for matchmaking in Halo and Gears of War, Matchbox – a recommender system in Azure Machine Learning, and Alexandria – automatic knowledge base construction for Satori, to name a few.

We’re working with the Infer.NET team to make it part of the ML.NET family. Steps already taken in this direction include releasing under the .NET Foundation and changing the package name and namespaces to Microsoft.ML.Probabilistic.