<html><head></head><body><div style="color:#000; background-color:#fff; font-family:arial, helvetica, sans-serif;font-size:16px"><div id="yui_3_16_0_ym19_1_1480546394726_5882">Dears<br></div><div class="qtdSeparateBR"><br><br></div><div class="yahoo_quoted" id="yui_3_16_0_ym19_1_1480546394726_5937" style="display: block;"><div style="font-family: arial, helvetica, sans-serif; font-size: 16px;" id="yui_3_16_0_ym19_1_1480546394726_5936"><div style="font-family: HelveticaNeue, Helvetica Neue, Helvetica, Arial, Lucida Grande, Sans-Serif; font-size: 16px;" id="yui_3_16_0_ym19_1_1480546394726_5935"><div class="y_msg_container" id="yui_3_16_0_ym19_1_1480546394726_5948"><div id="yiv6131933817"><div id="yui_3_16_0_ym19_1_1480546394726_5947"><div style="color:#000;background-color:#fff;font-family:arial, helvetica, sans-serif;font-size:16px;" id="yui_3_16_0_ym19_1_1480546394726_5946"><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr">I am running a Hyperalignment analysis to investigate the effect of the reference subject on the common model and between subject classification. I ran two scenarios to double check my results, and in both cases I got different classification accuracies.If I am not wrong, the below scenarios must giving me identical results</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr">.</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr">I had 10 subjects whose Hyperalignment data are stored in (ds_h) and task data in (ds_task) which I am classifying</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr"><br></div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187">Scenario-1-:</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187"><br></div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187">hyper=Hyperalignment(ref_ds=2)</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr">hypermaps=hyper(ds_h)</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr">ds_hyper = [ hypmaps[i].forward(d_all) for i, d_all in enumerate(ds_task)]</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr">..........Then continue with classification</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr"><br></div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr"><br></div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr">Scenario-2-:</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr">new_ds_h=[ds_h[2], ds_h[0], ds_h[1], ds_h[3], ds_h[4], ds_h[5], ds_h[6], ds_h[7], ds_h[8], ds_h[9]]</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr">hyper=Hyperalignment()</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr">hyper.train(new_ds_h)</div><div id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12187" dir="ltr">hypermaps=hyper(ds_h)</div><div dir="ltr" id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12566">ds_hyper = [ hypmaps[i].forward(d_all) for i, d_all in enumerate(ds_task)]</div><div dir="ltr" id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12567">..........Then continue with classification</div><div dir="ltr" id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12568"><br id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12569"></div><div dir="ltr" id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12568"><br></div><div dir="ltr" id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12568">Sincerely</div><div dir="ltr" id="yiv6131933817yui_3_16_0_ym19_1_1480544289680_12568">Salim</div></div></div></div><br><br></div> </div> </div> </div></div></body></html>