def test():
df = pd.DataFrame(np.random.randint(0, 1000, size=(1000000, 10)),
columns=['c{}'.format(x) for x in range(10)])
profiler = cProfile.Profile(subcalls=True, builtins=True, timeunit=.001)
lbe = LabelEncoder(min_obs=100)
profiler.enable()
lbe.fit(df)
X_new = lbe.transform(df)
profiler.disable()
profiler.print_stats()
def test():
df = pd.DataFrame(
np.random.randint(0, N_CATEGORY, size=(N_OBS, N_FEATURE)),
columns=["c{}".format(x) for x in range(N_FEATURE)],
)
profiler = cProfile.Profile(subcalls=True, builtins=True, timeunit=0.001)
lbe = LabelEncoder(min_obs=100)
profiler.enable()
lbe.fit(df)
_ = lbe.transform(df)
profiler.disable()
profiler.print_stats()
