tigerforecast.experiments.cross_entropy

tigerforecast.experiments.cross_entropy(y_pred, y_true, eps=1e-09)[source]

Description: cross entropy loss, y_pred is equivalent to logits and y_true to labels

Parameters:
  • y_pred – value predicted by method
  • y_true – ground truth value
  • eps – some scalar