chore: import upstream snapshot with attribution

code/ch09/pickle-test-scripts/pickle-load-test.py

@@ -0,0 +1,17 @@
+import pickle
+import re
+import os
+from vectorizer import vect
+import numpy as np
+
+clf = pickle.load(open('classifier.pkl', 'rb'))
+
+
+label = {0: 'negative', 1: 'positive'}
+example = ['I love this movie']
+
+X = vect.transform(example)
+
+print('Prediction: %s\nProbability: %.2f%%' %
+      (label[clf.predict(X)[0]],
+       np.max(clf.predict_proba(X)) * 100))