def bootstrap_validate(self, test_set, label):
""" Computes the F1 score for a test set of data
Arguments:
test_set - pandas.DataFrame containing the test data
labels - Name of the label column in the DataFrame
"""
pred = self.predict(test_set)
true = test_set[label]
return an.bootstrap_evaluate(pred, true)
def bootstrap_validate(self, test_set, label):
""" Computes the F1 score for a test set of data
Arguments:
test_set - pandas.DataFrame containing the test data
labels - Name of the label column in the DataFrame
Returns:
(Mean, StandardDeviation) of the F1 scores produced by the
bootstrapping
"""
pred = self.evaluate(test_set)
true = test_set[label]
return an.bootstrap_evaluate(pred, true)