On 05/21/2013 09:40 PM, Paulo Nuin wrote: > Hi Lars > > Thanks a lot for the help so far. > > It seems that your method solves part of my troubles. In my case X contains > all lines that are not NegCtrl and y the NegCtrl. Currently I am just trying > to load the sets into bumpy arrays and run something from the initial > tutorial on scikit-learn just to see if it works: > > clf =svm.SVC(gamma=0.001, C=100.) > clf.fit(data[:-1], target[:-1]) > > When I run my scripts I get the data and target shapes as: > > (179, 205) > (53, 205) It seems your matrix is transposed. It should be (n_samples, n_features). What are the 53 rows for the target? I guess these are (mistakenly) flattened in the code which produces your error.
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