def enable_logging(self, bucket_name, object_prefix=''):
        info = {'logBucket': bucket_name, 'logObjectPrefix': object_prefix}
        self._patch_property('logging', info)
Given a vector of predictions, save results in CSV format.
dataset/ETHPy150Open GoogleCloudPlatform/gcloud-python/gcloud/storage/bucket.py/Bucket.enable_logging--crossover with--dataset/ETHPy150Open kaz-Anova/ensemble_amazon/AUC_Weighted_Average.py/save_results