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Regularization as constraint
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433.
L1 Regularization as Constraint
easy
How can L1 regularization be interpreted as a constrained optimization problem?
A
It constrains the sum of squared coefficient values to lie within a circular region centered at the origin
B
It constrains the sum of squared coefficient values to lie within a circular region centered at the origin in the parameter space
C
It constrains the sum of absolute coefficient values to lie within a diamond-shaped region centered at the origin
D
It constrains the maximum coefficient value to lie below a threshold determined by the regularization strength
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