InstancesFromExperiment.py 文件源码

def getFeatures(self):
        csv_files = self.experiment.getFeaturesFilesFullpaths()
        features_names = []
        features = None
        for csv_file in csv_files:
            with open(csv_file, 'r') as f:
                header = f.readline().strip('\n').split(',')[1:]
                features_names += header
                current_features = list(list(rec) for rec in csv.reader(f,
                    quoting = csv.QUOTE_NONNUMERIC))
                if features is None:
                    features = [l[1:] for l in current_features]
                else:
                    features = [f1 + f2[1:] for f1, f2 in zip(features, current_features)]
        features = np.array(features)
        return features, features_names