How to implement class or sample weight sampling in multi label classification?
I’m currently working on a multi-label image classification problem where my dataset is significantly imbalanced. Each image in my dataset can have multiple labels. The labels are provided in a one-hot encoded format.
For example: [1,0,0,0,0,1,0] etc.