def show()

in DownstreamEval/clustering/metric.py [0:0]

• 16 lines of code
• 7 McCabe index (conditional complexity)

    def show(self,width=6,row_labels=None,column_labels=None):
        print("Confusion Matrix:")
        conf = self.conf
        rows = self.gt_n_cluster or conf.size(0)
        cols = conf.size(1)
        if column_labels is not None:
            print(("%" + str(width) + "s") % '', end='')
            for c in column_labels:
                print(("%" + str(width) + "s") % c, end='')
            print('')
        for i in range(0,rows):
            if row_labels is not None:
                print(("%" + str(width) + "s|") % row_labels[i], end='')
            for j in range(0,cols):
                print(("%"+str(width)+".d")%conf[i,j],end='')
            print('')