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yenchenlin/tim_profiling_script.md

Created June 17, 2016 13:22
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tim_profiling_script.md 
import timeit
import numpy as np
from sklearn.cluster import KMeans

np.random.seed(5)
X = np.random.rand(200000, 20)
X = np.float32(X)
estimator = KMeans()

def time_this_function():
    estimator.fit(X)

timer = timeit.Timer(time_this_function)
print timer.timeit(number=1)
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