ML.NET is the open-source and cross-platform machine studying framework for .NET. On this video, Bri Achtman demos ML.
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Thanks in a million. Great stuff. This is what I've been waiting for. Awesome. Grade: A++💥
nice 🙂
I love your dog 😀
Thats so cool!
Microsoft Rocks.
Thanks, i want to write csharp code to model builder for image classification in pure code without the model builder wizard. Thanka
Help me
How would you retrain the model?
When the Builder version for Mac is released
i have been trying it, swagger pages is failing, the model says its 99% accurate but its not, it even predicts with 99% accuracy a machine does not need maintenance while this very record is in the dataset showing it does need maintenance. i also wanted to try the object detection. i have an enterprise subscription but when i set up the workspace i cannot get a compute machine because my quota is 0. waisted an hour on tweaking a dataset for nothing. not amused at ALL. why is my quota 0? i still have over 140 dollars credit! i am not given the option to use my local machine either. when i try to create a support ticket i cant select a location and thus can't create the ticket. it looks nice on paper, in reality it's a frustrating experience. i am heading over to AWS.
you are wonderful
I think you would have chosen a simple example Instead ….
I came here to learn about the model builder but I ended up looking at the husky.
Wow i am so grateful😮
This is awesome, one can use the API endpoint on any language and get responses from the model.
LMAO this is gold!!
i have followed this and even if i take the precise row data (there's only two columns the date and the value), the eveluate result is10%, how you got 99% is beyond me