How to interpret the result?

[shamitb]

smoking_classifier.predict(["Smoking can lead to arterial congestions. This in the long run is injurious and even fatal as per a WHO advisory"])

I get result as:

tensor([[0.], [1.], [1.], [0.]]) How do I interpret the above tensor values?

How can I specify the labels and get the label as the output?

[shamitb]

Also how to train for a new area and a set of documents? Say cardiology or diabetes etc.

[AndriyMulyar]

Hi, these are label indicators.