View source on GitHub
|
Applies a feature mask on features if the feature_mask is not None.
nsl.lib.apply_feature_mask(
features, feature_mask=None
)
Returns | |
|---|---|
A dense tensor having the same shape as features.
|
nsl.lib.apply_feature_mask
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Last updated 2022-10-28 UTC.
[null,null,["Last updated 2022-10-28 UTC."],[],[],null,["# nsl.lib.apply_feature_mask\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/neural-structured-learning/blob/v1.4.0/neural_structured_learning/lib/utils.py#L456-L475) |\n\nApplies a feature mask on `features` if the `feature_mask` is not `None`. \n\n nsl.lib.apply_feature_mask(\n features, feature_mask=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------------|------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `features` | A dense tensor representing features. |\n| `feature_mask` | A dense tensor with values in `[0, 1]` and a broadcastable shape to `features`. If not set, or set to `None`, the `features` are returned unchanged. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A dense tensor having the same shape as `features`. ||\n\n\u003cbr /\u003e"]]