cosmo dataset slice fa skl

function ds = cosmo_dataset_slice_fa(ds, to_select)
    % Slice a dataset by features (columns) [deprecated]
    %
    % sliced_ds=cosmo_dataset_slice_fa(ds, to_select)
    %
    % Input:
    %   ds          a dataset struct with fields .samples (MxN for M samples
    %               and N features), and optionally
    %               features attributes in ds.fa, each ?xN)
    %   to_select:  Either a boolean mask, or a vector with indices, indicating
    %               which features to select in ds
    %
    % Returns:
    %   sliced_ds   a dataset struct with the same fields as the input, but
    %               with the selected samples in .samples (MxP, if to_select
    %               selected P values) and the selected features in ds.fa
    %
    % Note:
    %   - This function was, in 2013, intended as an exercise.
    %   - This function is deprecated and will be removed in the future;
    %     it is strongly recommended to use:
    %           comso_slice(dataset, to_select, 2).
    %
    % #   For CoSMoMVPA's copyright information and license terms,   #
    % #   see the COPYING file distributed with CoSMoMVPA.           #

    cosmo_warning(['%s is deprecated and will be removed in the future;'...
                   ' use cosmo_slice(...,...,2) instead'], ...
                  mfilename());

    % First slice the features array by columns

    %%%% >>> Your code here <<< %%%%

    %%
    %   If there is a field .fa, go through each attribute and slice it.
    %
    %   Hint: we used the matlab function 'fieldnames' to list the fields
    %   in dataset.fa

    if isfield(ds, 'fa')
        %%%% >>> Your code here <<< %%%%
    end