tpot_test.py

from tpot import TPOTClassifier
from sklearn.cross_validation import train_test_split
from sklearn.datasets import load_iris
import time

# Load and split the data
iris = load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.2, random_state=42)

# Construct and fit TPOT classifier
start_time = time.time()
tpot = TPOTClassifier(generations=10, verbosity=2)
tpot.fit(X_train, y_train)
end_time = time.time()

# Results
print('TPOT classifier finished in %s seconds' % (end_time - start_time)) 
print('Best pipeline test accuracy: %.3f' % tpot.score(X_test, y_test))

# Save best pipeline as Python script file
tpot.export('tpot_iris_pipeline.py')