(train_scores, validate_scores, train_labels, validate_labels)
return abs(train_mAP - validate_mAP)
train/validate scores: predicted scores on train/validate set
            train/validate labels: true labels
train/validate scores: predicted scores on train/validate set
            train/validate labels: true labels
train / validate scores : predicted scores on train / validate set train / validate labels : true labels
def compute(train_scores, validate_scores, train_labels, validate_labels):
        """
            train/validate scores: predicted scores on train/validate set
            train/validate labels: true labels
        """
        train_mAP = average_precision_score(train_labels, train_scores)
        validate_mAP = average_precision_score(validate_labels, validate_scores)
        return abs(train_mAP - validate_mAP)
def compute ( train_scores , validate_scores , train_labels , validate_labels ) : train_mAP = average_precision_score ( train_labels , train_scores ) validate_mAP = average_precision_score ( validate_labels , validate_scores ) return abs ( train_mAP - validate_mAP )