for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
import pandas as pd
from sklearn.metrics._classification import _check_targets
def _assert_binary(y1, y2=None):
if y2 is None:
y2 = y1
y_type, _, _ = _check_targets(y1, y2)
if y_type != 'binary':
raise ValueError('y_true and y_pred must be binary.')
def _groupby_y_x_sens(y_true, y_score, x_sens):
return (pd.DataFrame({'y_true': y_true,
'y_score': y_score,
'x_sens': x_sens})
.groupby('x_sens'))
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