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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() | |