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/exp/nb_denoiser.py
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| a | b/exp/nb_denoiser.py | ||
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| 1 | |||
| 2 | ################################################# |
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| 3 | ### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ### |
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| 4 | ################################################# |
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| 5 | # file to edit: dev_nb/denoiser.ipynb |
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| 6 | |||
| 7 | from sklearn.decomposition import TruncatedSVD |
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| 8 | |||
| 9 | def denoise(data): |
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| 10 | svd = TruncatedSVD(n_components=1, n_iter=7, random_state=0) |
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| 11 | svd.fit(data) |
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| 12 | pc = svd.components_ |
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| 13 | data -= data.dot(pc.T) * pc |
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| 14 | return data |