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Update shared_sparsity_selection.py
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edit parameter description
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kgreenewald authored May 31, 2023
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Expand Up @@ -18,7 +18,6 @@ def __init__(self, lmda=0.01, alpha="auto", max_norm = "auto", step=0.1, max_ite
Args:
lmda (str|float): Parameter (>= 0) to control shape of MCP regularizer.
The bigger the value the stronger the regularization.
"auto" will auto-select good regularization value.
alpha (float): Associated lambda parameter (>= 0) to control shape of MCP regularizer.
The smaller the value the stronger the regularization.
step (float): Step size for proximal gradient, equivalent of learning rate.
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