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import numpy as np
from opts import options
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 = input("\nChoose a method to test: ").lower()
try:
func = options[method]
except KeyError:
raise f"Invalid method \"{method}\". Try one of these\n{list(options.keys())}"
X, y = random_dataset()
result = func(X, y)
if __name__ == "__main__":
main()
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