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

tf.keras.metrics.top_k_categorical_accuracy

Computes how often targets are in the top K predictions.

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

Standalone usage:

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

Args

y_true The ground truth values.
y_pred The prediction values.
k (Optional) Number of top elements to look at for computing accuracy. Defaults to 5.

Returns

Top K categorical accuracy value.