I'm using Python to train an SVM, and I'd like to save the resulting model for use later. However, I get an error:
TypeError: can't pickle SVM objects
Is there another persistence method I should use? Is there something that I could add to the Python SVM module to make it pickle-able?
Minimal working code is below:
import numpy as np
import cv2
import pickle
points = np.array([[1.0, 2.1], [1, -1], [2, 3], [2, 1]], dtype=np.float32)
labels = np.array([0, 1, 0, 1], dtype=np.float32)
model = cv2.SVM(points, labels)
pickle.dump(model, open("save.pkl", 'w'))