aimerykong
commented
2 years ago I recall that label=-1 means open-set examples. Yes, the discriminator is a two-way classifier that discriminates between open- vs closed-set examples.
On Sun, Jan 2, 2022 at 10:43 PM liMike1998 @.***> wrote:
I see in your metric you use the f1_score.In your code, the label=-1 means open set samples? Does this mean that your discriminator will have a binary output of a known class or an unknown class？I can't understand this.Thank you!
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I see in your metric you use the f1_score.In your code, the label=-1 means open set samples? Does this mean that your discriminator will have a binary output of a known class or an unknown class？I can't understand this.Thank you!