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A parameter that is not strictly for the statistical model (or data generating process), but a parameter for the statistical method. It could be a parameter for: a family of prior distributions, smoothing, a penalty in regularization methods, or an optimization algorithm.
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SVR optimal hyperparameters are Epsilon = 0, Cost = inf?
Reducing my features to ~100 by doing feature selection (specifically, Mutual Information) helped a lot with correcting this "unbounded" hyperparameter problem. …
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SVR optimal hyperparameters are Epsilon = 0, Cost = inf?
In my hyperparameter gridsearch, the optimal parameters appear "unbounded". Specifically, any epsilon under 1 seems to work equally well - even an epsilon of 0. …