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Changes between Initial Version and Version 1 of Ticket #1973


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Timestamp:
10/15/12 13:55:26 (12 years ago)
Author:
gkronber
Comment:

I'm tempted to reject this ticket, as it is unlikely that this would produce an useful solution. If we allow more than 256 variables I'd prefer that we produce a different kind of model (no symbolic expression tree) in such cases.

For me the actual issue is that we do not have standard feature selection methods for LR or regularized linear models.

More discussion is needed before we decide on the further steps.

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  • Ticket #1973

    • Property Summary changed from Problem with linear regression if number of variables > 256 to Linear regression models with more than 256 variables are not supported

  • Ticket #1973 – Description

    initial v1  
    1 As reported by Susi Schaller, linear regression crashes if more than 256 input features are to be used. (The number of subtrees of the tree representing the linear model is too big.)
     1Linear regression crashes if more than 256 input features are to be used. (The number of subtrees of the tree representing the linear model is too big.)