[jira] [Created] (MADLIB-1384) Change default num_components for SVM to 100

["Frank McQuillan (Jira)" <ji...@apache.org>]

Frank McQuillan created MADLIB-1384:
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             Summary: Change default num_components for SVM to 100
                 Key: MADLIB-1384
                 URL: https://issues.apache.org/jira/browse/MADLIB-1384
             Project: Apache MADlib
          Issue Type: Improvement
          Components: Module: Support Vector Machines
            Reporter: Frank McQuillan
             Fix For: v1.17


Currently 
http://madlib.apache.org/docs/latest/group__grp__svm.html#kernel_params
says
{code}
n_components
Default: 2*num_features. The dimensionality of the transformed feature space. A larger value lowers the variance of the estimate of the kernel but requires more memory and takes longer to train.
{code}
but this produces poor decision boundaries for small num_features.  I suggest we change the default to 
{code}
n_components
Default: max(100, 2*num_features). The dimensionality of the transformed feature space. A larger value lowers the variance of the estimate of the kernel but requires more memory and takes longer to train.
{code}



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