feature_processor.py 文件源码

def imputator(features):
    """Fill in missing values with mean of the remaining samples

    Keyword arguments:
    features -- feature matrix

    """
    imp = Imputer(missing_values='NaN', strategy='mean', axis=0)
    imp.fit(features)
    return imp.transform(features)