1

I have *.clf file which I get from fit() of sklearn. I fit my data with SVM or KNN and want to show its properties when using it for predictions. For example I open earlier pickled classifier file and when I print it I get something like this:

SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
    decision_function_shape='ovr', degree=3, gamma='scale', kernel='rbf',
    max_iter=-1, probability=True, random_state=None, shrinking=True, tol=0.001,
    verbose=True)

How can I get the value of, for example, gamma to print out it somewhere else except for traversing it as string? Because at first I have to define either it's SVM or KNN.

mend4x
  • 113
  • 5

1 Answers1

1
clf = SVC()
clf.fit(X, y)

print(clf.get_params())
fuwiak
  • 1,373
  • 8
  • 14
  • 26