tpot_basic.py 458 B

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  1. from tpot import TPOTClassifier
  2. from sklearn.datasets import load_digits
  3. from sklearn.model_selection import train_test_split
  4. digits = load_digits()
  5. X_train, X_test, y_train, y_test = train_test_split(digits.data, digits.target,
  6. train_size = 0.75, test_size = 0.25)
  7. tpot = TPOTClassifier(generations = 5, population_size = 20, verbosity = 2)
  8. tpot.fit(X_train, y_train)
  9. print(tpot.score(X_test, y_test))
  10. tpot.export('tpot_mnist_pipeline.py')