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Make it easier to run with various options, without having to copy/paste from run.sh and without having to comment out lines (use command line arguments to specify everything)
To implement the "real world" problems, you can use this. The parameter alpha corresponds to either lambda or lambda/2. The parameter gamma probably corresponds to 1/(2sigma^2); see here.
You can also use sklearn for the cross-validation.
Notes for BayesOpt: if you use Python 2, change "4" to "4.0" etc wherever you're dividing two integers.
The text was updated successfully, but these errors were encountered:
alpha
corresponds to either lambda or lambda/2. The parametergamma
probably corresponds to 1/(2sigma^2); see here.You can also use sklearn for the cross-validation.
Notes for BayesOpt: if you use Python 2, change "4" to "4.0" etc wherever you're dividing two integers.
The text was updated successfully, but these errors were encountered: