def binary_accuracy()

in source/sagemaker/src/package/data_privatization/container/train.py [0:0]

• 5 lines of code
• 2 McCabe index (conditional complexity)

def binary_accuracy(preds, y):
    """
    Returns accuracy per batch, i.e. if you get 8/10 right, this returns 0.8, NOT 8
    """

    # round predictions to the closest integer
    rounded_preds = torch.round(torch.sigmoid(preds))
    correct = (rounded_preds == y).float()  # convert into float for division
    acc = correct.sum() / len(correct)
    return acc