pip install milk
python
import milk
python
import milk
import numpy as np
def extract_features(image):
return feature_vector
for image in train_images:
for image in test_images:
model = milk.supervised.classifier()
model.train(np.array(train_samples), np.array(train_labels))
predictions = model.apply(np.array(test_samples))
