tf.keras.utils.pack_x_y_sample_weight | TensorFlow v2.16.1 (original) (raw)
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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Last updated 2024-06-07 UTC.