tpot_basic.py 441 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(
  6. digits.data, digits.target, train_size=0.75, test_size=0.25
  7. )
  8. tpot = TPOTClassifier(generations=5, population_size=20, verbosity=2)
  9. tpot.fit(X_train, y_train)
  10. print(tpot.score(X_test, y_test))
  11. tpot.export("tpot_mnist_pipeline.py")