Today, I was thinking to build and test a classification model using ML.NET. I'm very very curious about new technologies and from my curiosity I asked myself,
"What if I try doing all these things in Colab? Is it even possible?"
From the official documentation of ML.NET I found that there is an option to do all these things from command line using ML.NET CLI.
And guess what? This was as simple as drinking a glass of water π. All you need to do is to:
- Install .NET Core SDK in Google Colab.
- Install ML.NET.
- Import dataset.
- Use ML.NET CLI to train the model.
- Test.
I've added a gist below. You can try directly in colab from the "Open in Colab" badge.
Let's Give it a try π
https://gist.github.com/shunjid/5f633474ba6f4be7db2871fe54e2ef52
Top comments (1)
Nice Find! I'll definitely look on to it!