tpot_classifier.py

from tpot import TPOTClassifier
from sklearn.model_selection import TimeSeriesSplit

# Cross validation object
tss = TimeSeriesSplit(n_splits = 3)

# Make the tpot search model
tpot_pipeline = TPOTClassifier(generations = 10, population_size = 10, 
                               cv = tss, scoring = 'f1')
# Find best model
tpot_pipeline.fit(train, train_labels)