tfl.utils.canonicalize_convexity
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Converts string constants representing convexity into integers.
tfl.utils.canonicalize_convexity(
convexity
)
Returns |
|---|
|
convexity represented as -1, 0, 1, or None.
|
Raises |
|---|
ValueError
|
If convexity is not in the set
{-1, 0, 1, 'concave', 'none', 'convex'}.
|
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Last updated 2024-08-02 UTC.
[null,null,["Last updated 2024-08-02 UTC."],[],[],null,["# tfl.utils.canonicalize_convexity\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/lattice/blob/v2.1.1/tensorflow_lattice/python/utils.py#L25-L52) |\n\nConverts string constants representing convexity into integers. \n\n tfl.utils.canonicalize_convexity(\n convexity\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------|-------------------------------------------------------------------------------------------------------|\n| `convexity` | The convexity hyperparameter of [`tfl.layers.PWLCalibration`](../../tfl/layers/PWLCalibration) layer. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| convexity represented as -1, 0, 1, or None. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|-------------------------------------------------------------------------|\n| `ValueError` | If convexity is not in the set {-1, 0, 1, 'concave', 'none', 'convex'}. |\n\n\u003cbr /\u003e"]]
View source on GitHub