Classification fails #98
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Hi, Classification was not designed to run from iteration 2 so far, mainly because the initialization needs a reference. So, at iteration 2, you have to do class=1, and from iteration 3 you can change to 4 classes. |
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Yes, iteration 2 should only recapitulate the consensus model and you do not need to explicitly set the number of classes to 1 for that iteration. The actual problem is that the file |
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I am continuing from an existing refinement block. I use otherwise the same parameters, but have added classification to 4 classes. The inputs to this new classifacition block are the template map and parameters from the previous refinement. The first iteration (iteration 2) runs ok, but I get only 1 class. The second iteration (iteration 3) gives this error when the jobs starts:
And then these errors when it tries to refine class 2:
Any idea why the first iteration (iteration 2) does not produce 4 classes but only 1?
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