Training Models Using Turi Create

.py

import turicreate as tc

# load the data
data = tc.SFrame('cats-dogs.sframe')

train_data, test_data = data.random_split(0.8)

model = tc.image_classifier.create(train_data, target='label')

predictions = model.predict(test_data)

metrics = model.evaluate(test_data)
print(metrics['accuracy'])

model.save('mymodel.model')

model.export_coreml('CatsAndDogs.mlmodel')