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 | 1 | initial version |
ok, you found a bug !
instead of
digit = model.predict(sample)[0]
it must be:
digit = model.predict(sample)[1].ravel()
| | 2 | No.2 Revision |
ok, you found a bug !
instead of
digit = model.predict(sample)[0]
it must be:
digit = model.predict(sample)[1].ravel()
(longer explanation: the python wrappers treat even a single test sample as a 2d Mat, so the prediction is returned in the results array, not in the retval (as it would be in c++). while other ml classes, like RTrees or KNearest at least make an attempt to put the 1st result into the retval, the SVM simply returns 0 in this case)