description: Computes how often integer targets are in the top K predictions.

tf.keras.metrics.sparse_top_k_categorical_accuracy

Computes how often integer targets are in the top K predictions.

tf.keras.metrics.sparse_top_k_categorical_accuracy(
    y_true, y_pred, k=5
)

Standalone usage:

>>> y_true = [2, 1]
>>> y_pred = [[0.1, 0.9, 0.8], [0.05, 0.95, 0]]
>>> m = tf.keras.metrics.sparse_top_k_categorical_accuracy(
...     y_true, y_pred, k=3)
>>> assert m.shape == (2,)
>>> m.numpy()
array([1., 1.], dtype=float32)

Args

y_true tensor of true targets.
y_pred tensor of predicted targets.
k (Optional) Number of top elements to look at for computing accuracy. Defaults to 5.

Returns

Sparse top K categorical accuracy value.