sampsize problem

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Hello

Im using RF_MexStandalone-v0.02-precompiled for classification. I was wondering 
how we can modify the variable "sampsize" so that the sampling with replacement 
carry out according to prior knowledge of class distribution. For instance, if 
the samples are distributed in classes with this proportion [0.3 0.7] 
corresponding to classes [-1 1], I want the data in each class is sampled 
according to the prior knowledge. Is sampsize what i need to look into it? If 
so, what would be the correct sampsize here?

Thanks 

Original issue reported on code.google.com by [email protected] on 24 Jul 2013 at 8:31