python - Scikit-learn, Numpy: Changing the value of an read-only variable -
i'm using scikit-learn train svm.
after train model on data, want change coef_ of model.
#initiate svm model = svm.svc(parameters...) #train model data model.fit(x,y) #now want change coef_ attribute(a numpy array) model.coef_ = newcoef problem: gives me attributeerror: can't set attribute. or when try access numpy array in attribute gives me valueerror: assignment destination read-only.
is there way change attributes of existing model?
(i want because want parallelize svm training, , have change coef_ attribute this.)
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