tfr.keras.losses.LabelDiffLambdaWeight
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Keras serializable class for LabelDiffLambdaWeight.
tfr.keras.losses.LabelDiffLambdaWeight(
**kwargs
)
Methods
get_config
View source
get_config() -> Dict[str, Any]
individual_weights
View source
individual_weights(
labels, ranks
)
Returns the weight Tensor for individual examples.
| Args |
|---|
labels
|
A dense Tensor of labels with shape [batch_size, list_size].
|
ranks
|
A dense Tensor of ranks with the same shape as labels that are
sorted by logits.
|
| Returns |
|---|
A Tensor that can weight individual examples.
|
pair_weights
View source
pair_weights(
labels, ranks
)
Returns the absolute label difference for each pair.
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Last updated 2023-08-18 UTC.
[null,null,["Last updated 2023-08-18 UTC."],[],[],null,["# tfr.keras.losses.LabelDiffLambdaWeight\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/ranking/blob/v0.5.3/tensorflow_ranking/python/keras/losses.py#L112-L120) |\n\nKeras serializable class for LabelDiffLambdaWeight. \n\n tfr.keras.losses.LabelDiffLambdaWeight(\n **kwargs\n )\n\nMethods\n-------\n\n### `get_config`\n\n[View source](https://github.com/tensorflow/ranking/blob/v0.5.3/tensorflow_ranking/python/keras/losses.py#L119-L120) \n\n get_config() -\u003e Dict[str, Any]\n\n### `individual_weights`\n\n[View source](https://github.com/tensorflow/ranking/blob/v0.5.3/tensorflow_ranking/python/losses_impl.py#L195-L207) \n\n individual_weights(\n labels, ranks\n )\n\nReturns the weight `Tensor` for individual examples.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|----------|--------------------------------------------------------------------------------------|\n| `labels` | A dense `Tensor` of labels with shape \\[batch_size, list_size\\]. |\n| `ranks` | A dense `Tensor` of ranks with the same shape as `labels` that are sorted by logits. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| A `Tensor` that can weight individual examples. ||\n\n\u003cbr /\u003e\n\n### `pair_weights`\n\n[View source](https://github.com/tensorflow/ranking/blob/v0.5.3/tensorflow_ranking/python/losses_impl.py#L213-L216) \n\n pair_weights(\n labels, ranks\n )\n\nReturns the absolute label difference for each pair."]]
View source on GitHub