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tf.keras.losses.MeanAbsolutePercentageError

Computes the mean absolute percentage error between y_true & y_pred.

Inherits From: Loss

tf.keras.losses.MeanAbsolutePercentageError(
    reduction='sum_over_batch_size',
    name='mean_absolute_percentage_error'
)

loss = 100 * mean(abs((y_true - y_pred) / y_true))

Args
`reduction`	Type of reduction to apply to the loss. In almost all cases this should be `"sum_over_batch_size"`. Supported options are `"sum"`, `"sum_over_batch_size"` or `None`.
`name`	Optional name for the loss instance.

call(
    y_true, y_pred
)

@classmethod
from_config(
    config
)

get_config()

__call__(
    y_true, y_pred, sample_weight=None
)

Call self as a function.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/losses/MeanAbsolutePercentageError