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class LogisticRegressionWithThreshold(LogisticRegression):
    def predict(self, X, threshold=None):
        if threshold == None: # If no threshold passed in, simply call the base class predict, effectively threshold=0.5
            return LogisticRegression.predict(self, X)
        else:
            y_scores = LogisticRegression.predict_proba(self, X)[:, 1]
            y_pred_with_threshold = (y_scores >= threshold).astype(int)

            return y_pred_with_threshold