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sklearn/random_projection.py

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@@ -363,7 +363,7 @@ def fit(self, X, y=None):
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elif self.n_components > n_features:
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warnings.warn(
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"The number of components is higher than the number of"
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" features: n_features > n_components (%s > %s)."
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" features: n_features < n_components (%s < %s)."
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"The dimensionality of the problem will not be reduced."
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% (n_features, self.n_components))
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