[pymvpa] Customize ANOVA Feature Selection

[Yaroslav Halchenko]

I might be missing the problem since you seem to have to know the blocks
you need ;)  so following the example from the clfs warehouse:

    FeatureSelectionClassifier(
        kNN(),
        SensitivityBasedFeatureSelection(
           OneWayAnova(),
           FractionTailSelector(0.05, mode='select', tail='upper')),
        descr="kNN on 5%(ANOVA)")

logical change would be to use 0.99 instead of 0.05 to select 99% top voxels
(or in other words to dump 1%)... or just change mode to 'discard' and specify
0.01 as the fraction

On Mon, 03 Oct 2011, Roberto Guidotti wrote:

>    Hi all,

>    I would like to know if there is a method to extract the feature
>    ranking from ANOVA feature selection or if there is a method to drop
>    first 1% of voxel included in the ranking and select other voxel as
>    usual (with FractionTailSelection()).

>    Thank you

>    Roberto

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