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‎sklearn/decomposition/pca.py

Lines changed: 1 addition & 2 deletions
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@@ -5,6 +5,7 @@
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# Olivier Grisel <olivier.grisel@ensta.org>
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# Mathieu Blondel <mathieu@mblondel.org>
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# Denis A. Engemann <d.engemann@fz-juelich.de>
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# Michael Eickenberg <michael.eickenberg@inria.fr>
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#
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# License: BSD 3 clause
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@@ -353,8 +354,6 @@ def get_precision(self):
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# Get precision using matrix inversion lemma
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components_ = self.components_
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exp_var = self.explained_variance_
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# if self.whiten:
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# components_ = components_ * np.sqrt(exp_var[:, np.newaxis])
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exp_var_diff = np.maximum(exp_var - self.noise_variance_, 0.)
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precision = np.dot(components_, components_.T) / self.noise_variance_
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precision.flat[::len(precision) + 1] += 1. / exp_var_diff

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