__init__.py 文件源码

def doPCA(X, output_columns_count):
    #DO PCA on the data and use it to transform
    svd = TruncatedSVD(output_columns_count)
    normalizer = Normalizer(copy=False)
    lsa = make_pipeline(svd, normalizer)

    X = lsa.fit_transform(X)
    return X