# 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: List[_atypes.TensorFuzzingAnnotation[_atypes.Float32]],
        l1: float,
        l2: float,
        name=None
    )

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| ## 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). |

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| ## Returns ||
|---|---|
| The created Operation. ||

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