ML.NETÂ is an open source and cross-platform machine learning framework made for .NET developers.
Using ML.NET you can easily build custom machine learning models for scenarios like sentiment analysis, price prediction, sales forecasting, recommendation, image classification, and more.
ML.NET 1.0 was released at //Build 2019, and since then the team has been working hard on adding more features and capabilities.
Through the survey below, we would love to get feedback on how we can make your journey to infuse Machine Learning in your apps easier with .NET.
Help shape and improve ML.NET for your needs by taking the short survey below!
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Happy to know that 1.0 version has been released. I had contributed to an earlier release v0.7 of ML.NET
https://github.com/dotnet/machinelearning/blob/release/preview/docs/release-notes/0.7/release-0.7.md
Looking forward to contribute in the upcoming release as well.
What are the advantages of ML.NET over something like the SciSharp stack (that is still under development but surprisingly feature complete)? It seems like having to re-learn a whole new API rather than using TensorFlow.NET directly is not worth it.
On “13. How would you rank the following in order of importance?” it would have been great to know if 1 is lowest and 10 highest or 1 is highest and 10 is lowest.
Also, I cannot continue from this page because if I click on next the site reloads and on #13 it says “This question requires an answer.” which is funny because I’ve set the rank from 1 to 10 for each invidivually.
Thanks for the feedback! I’ve updated the wording — 1 = most important, 10 = least important. You should also be able to drag and drop the items in the list (vs. manually selecting the rank number for each one) which might help with the issue you’re having.