app.js
//adding input features to pictorial representation
adding input features to pictorial representation
adding input features to pictorial representation
function addinputparameters()
         {
             var ip_x = 0, ip_y = canvas_size.canvas_height/2, input_neuron, name = $scope.filename.split("\\") ;
             if(received_params === true)
             {
                 if(($scope.ptype === 'Data Classification')||($scope.ptype === 'MultiClass'))
                 {
                     input_neuron = two.makeCircle(ip_x,ip_y,20);
                     input_neuron.fill = radialGradient ;
                     input_neuron.stroke = 'blue';
                     input_neuron.linewidth = 2.5;
                     two.makeText(name[name.length-1],ip_x+25 ,ip_y+42 , {size : 12 , family : "Arial"});
                 }
                 if($scope.ptype ==='Time Series')
                 {
                 }
             }
             two.update() ;
         }
function addinputparameters ( ) { var ip_x = 0 , ip_y = canvas_size . canvas_height / 2 , input_neuron , name = $scope . filename . split ( "\\" ) ; if ( received_params === true ) { if ( ( $scope . ptype === 'Data Classification' ) || ( $scope . ptype === 'MultiClass' ) ) { input_neuron = two . makeCircle ( ip_x , ip_y , 20 ) ; input_neuron . fill = radialGradient ; input_neuron . stroke = 'blue' ; input_neuron . linewidth = 2.5 ; two . makeText ( name [ name . length - 1 ] , ip_x + 25 , ip_y + 42 , { size : 12 , family : "Arial" } ) ; } if ( $scope . ptype === 'Time Series' ) { } } two . update ( ) ; }
adding input features to pictorial representation
adding input features to pictorial representation
//received_params = false ; /*  for(zz=0;zz<final_headers.length;++zz)
                 {
                     ip_y = 20 + ((zz+1)*(canvas_size.canvas_height/(final_headers.length+1))) ;
                    // input_neuron._renderer.elem.addEventListener('hover',neuronhoverlistener,false);
                 }*/