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import numpy as np
def random_dataset():
"""
initializes a training and
a testing dataset in the form
of numpy arrays
"""
np.random.seed(8675309)
return (
np.random.randn(10000, 10),
np.random.randint(5, size=(10000, 1)),
)
def main(method: str, X: np.array, y: np.array):
pass
if __name__ == "__main__":
method = input("\nChoose a method to test: ").lower()
X, y = random_dataset()
main(
method=method,
X=X,
y=y,
)
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