"n">N</span><span class="p">):</span>
                            <span class="c1"># print(data.shape, predicted.shape, original_data.shape, pred.get_test_array(target).shape, mask_of_k.sum(axis=0))</span>
                            <span class="c1"># print(pred.get_test_array(target)[0].flatten().std())</span>
                            <span class="n">original_data</span><span class="p">[:,</span> <span class="n">target</span><span class="p">]</span> <span class="o">=</span> <span class="n">pred</span><