Calculates how often predictions match integer labels.
View aliases
Main aliases
tf.metrics.sparse_categorical_accuracy
See Migration guide for more details.
`tf.compat.v1.keras.metrics.sparse_categorical_accuracy`
tf.keras.metrics.sparse_categorical_accuracy(
y_true, y_pred
)
Standalone usage:
y_true = [2, 1]
y_pred = [[0.1, 0.9, 0.8], [0.05, 0.95, 0]]
m = tf.keras.metrics.sparse_categorical_accuracy(y_true, y_pred)
assert m.shape == (2,)
m.numpy()
array([0., 1.], dtype=float32)
You can provide logits of classes as y_pred
, since argmax of
logits and probabilities are same.
Returns | |
---|---|
Sparse categorical accuracy values. |