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Update plot_kernel_approximation.py 

Correct documentation typo 'not' to 'note'
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Andrew Walker 2014-08-18 20:38:08 +10:00
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examples/plot_kernel_approximation.py
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@ -17,7 +17,7 @@ of :class:`RBFSampler`, which uses random Fourier features) and different sized
subsets of the training set (for :class:`Nystroem`) for the approximate mapping
are shown.
Please not that the dataset here is not large enough to show the benefits
Please note that the dataset here is not large enough to show the benefits
of kernel approximation, as the exact SVM is still reasonably fast.
Sampling more dimensions clearly leads to better classification results, but