mean_absolute_error¶
dragon.vm.tensorflow.keras.losses.
mean_absolute_error
(
y_true,
y_pred,
reduction='mean'
)[source]¶Compute the reduced element-wise absolute value difference.
Examples:
y_true = tf.constant([1., 2., 3.]) y_pred = tf.constant([0., 0., 0.]) print(tf.keras.cost.mean_absolute_error(y_true, y_pred)) # 2.0
- Parameters:
- y_true (dragon.Tensor) – The ground truth tensor.
- y_pred (dragon.Tensor) – The logits tensor.
- reduction ({'none', 'sum', 'mean'}, optional) – The reduction method.