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What is an intuitive way of explaining how to set Hyperparameters for Regularization? How would these hyperparameters change for L1 or L2 Regularization?

In Python I have seen np.logspace() used to create the "C space" which is then stored in a dictionary called "parameter grid" which is then used within grid search for a model (i.e. logistic regression).

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closed as too broad by whuber Jan 11 at 21:55

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