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### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###
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# file to edit: dev_nb/denoiser.ipynb

from sklearn.decomposition import TruncatedSVD

def denoise(data):
    svd = TruncatedSVD(n_components=1, n_iter=7, random_state=0)
    svd.fit(data)
    pc = svd.components_
    data -= data.dot(pc.T) * pc
    return data