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groverpr/simulating_friedman

Created September 11, 2018 22:28
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simulating friedman data for comparison studies
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simulating_friedman
# simulating 10,000 data points with 2 useless and 5 uniformly distributed features
X, y = make_friedman1(n_samples=10000, n_features=7, noise=0.0, random_state=11)
# train-validation split
X_train, X_valid, y_train, y_valid = train_test_split(X, y, test_size=0.20, random_state=42)
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