from tpot import TPOTClassifier
from sklearn.datasets import load_digits
from sklearn.model_selection import train_test_split

digits = load_digits()

X_train, X_test, y_train,  y_test = train_test_split(digits.data, digits.target,
													train_size = 0.75, test_size = 0.25)

tpot = TPOTClassifier(generations = 5, population_size = 20, verbosity = 2)

tpot.fit(X_train, y_train)
print(tpot.score(X_test, y_test))
tpot.export('tpot_mnist_pipeline.py')