tf.compat.v1.train.sdca_shrink_l1
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Applies L1 regularization shrink step on the parameters.

tf.compat.v1.train.sdca_shrink_l1(
    weights: Annotated[List[Any], _atypes.Float32],
    l1: float,
    l2: float,
    name=None
)

Args
`weights`	A list of `Tensor` objects with type mutable `float32`. a list of vectors where each value is the weight associated with a feature group.
`l1`	A `float`. Symmetric l1 regularization strength.
`l2`	A `float`. Symmetric l2 regularization strength. Should be a positive float.
`name`	A name for the operation (optional).

Returns
The created Operation.

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Last updated 2024-04-26 UTC.

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