you,
From: Albert Thomas [mailto:[email protected]]
Sent: Saturday, September 06, 2014 5:35 AM
To: [email protected]
Subject: Re: [Scikit-learn-general] one-class SVM with limited number of samples
Hi Roberto,
One possible way to tune the hyperparameters of the
2014 1:36 PM
> *To:* [email protected]
>
> *Subject:* [Scikit-learn-general] one-class SVM with limited number of
> samples
>
>
>
> I am trying to train the one-class SVM.
>
>
>
> According to libSVM
>
> *Q: How do I choose parameters for o
Subject: [Scikit-learn-general] one-class SVM with limited number of samples
I am trying to train the one-class SVM.
According to libSVM
Q: How do I choose parameters for one-class SVM as training data are in only
one class?
You have pre-specified true positive rate in mind and then search for
I am trying to train the one-class SVM.
According to libSVM
Q: How do I choose parameters for one-class SVM as training data are in only
one class?
You have pre-specified true positive rate in mind and then search for
parameters which achieve similar cross-validation accuracy.
But the one-class
