HF RL Explorer

Task: Implement Class Weights for One-Hot Encoded Labels in Keras

Task: Implement Class Weights for One-Hot Encoded Labels in Keras: a task in Terminal-Lego-15k (Harbor dataset). When training a Keras model with imbalanced data, the class weight parameter in model.fit() works with integer-encoded labels but does not directly work with one-hot encoded labels…

The task

When training a Keras model with imbalanced data, the `class_weight` parameter in `model.fit()` works with integer-encoded labels but does not directly work with one-hot encoded labels. Your task is to create a Python solution that demonstrates how to properly apply class weights when using one-hot encoded labels in…

Part of PrimeIntellect/Terminal-Lego-15k.