tf.keras.utils.pack_x_y_sample_weight

Packs user-provided data into a tuple.

tf.keras.utils.pack_x_y_sample_weight(
    x, y=None, sample_weight=None
)

Used in the notebooks

Used in the guide
Creating a custom Counterfactual Logit Pairing Dataset

This is a convenience utility for packing data into the tuple formats that Model.fit() uses.

Example:

x = ops.ones((10, 1))
data = pack_x_y_sample_weight(x)
isinstance(data, ops.Tensor)
True
y = ops.ones((10, 1))
data = pack_x_y_sample_weight(x, y)
isinstance(data, tuple)
True
x, y = data

Args
`x`	Features to pass to `Model`.
`y`	Ground-truth targets to pass to `Model`.
`sample_weight`	Sample weight for each element.

Returns
Tuple in the format used in `Model.fit()`.

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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/utils/pack_x_y_sample_weight