Open kclch opened 5 years ago
It is the classification score of the corresponding attribute before sigmoid function.
Thank you,Why not use the sigmoid function to process the scores? Because the scores before classification are not intuitive
At 2019-03-12 00:18:32, "Dangwei Li" notifications@github.com wrote:
It is the classification score of the corresponding attribute before sigmoid function.
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This is just an example. I didn't pay much attention on it in the past. You can use probability if necessary.
@dangweili won't using the sigmoid be wrong? The attributes are independent and more than one attribute can have score 1 at the same time?
Hello, I chose a picture to test, but I don't understand the score on the demo_image_result.png. What does this score mean? Thank you very much