human
Solve the following python programming problem given the following code:
def binary_logistic_regression_probabilities(self, method) : 
    (X, y) = self.exampleData () 
    def f() : 
        fit = BinaryLogisticRegressionFitter (C = (1.0 / len (X)), hasIntercept = True, method = method).fit (X, y) 
        return fit.predict_probability (X) 
expectedPredictedProbabilities = [0.45810128, 0.58776695, 0.6510714] 
    computedProbabilities = self.evaluateWithExecutor (f) 
    numpy.testing.assert_allclose (computedProbabilities, y, rtol = 0.1) 

    
    

    Fix the buggy line: numpy.testing.assert_allclose (computedProbabilities, y, rtol = 0.1)
assistant
#Here is Python program to fix the buggy line: numpy.

numpy.testing.assert_allclose (computedProbabilities, expectedPredictedProbabilities, rtol = 0.1)