vikash512

## print_cm.py
from sklearn.metrics import confusion_matrix

def print_cm(cm, labels, hide_zeroes=False, hide_diagonal=False, hide_threshold=None):
    """pretty print for confusion matrixes"""
    columnwidth = max([len(x) for x in labels]+[5]) # 5 is value length
    empty_cell = " " * columnwidth
    # Print header
    print "    " + empty_cell,
    for label in labels:
        print "%{0}s".format(columnwidth) % label,

## plot_confusion_matrix.png

      
        
          
            
              
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                vikash512
                / plot_confusion_matrix.png
            
            
              Created
              July 31, 2018 12:47
                — forked from hitvoice/plot_confusion_matrix.png
            
              
                 Generate matrix plot for confusion matrix with pretty annotations.
	from sklearn.metrics import confusion_matrix

	def print_cm(cm, labels, hide_zeroes=False, hide_diagonal=False, hide_threshold=None):
	"""pretty print for confusion matrixes"""
	columnwidth = max([len(x) for x in labels]+[5]) # 5 is value length
	empty_cell = " " * columnwidth
	# Print header
	print " " + empty_cell,
	for label in labels:
	print "%{0}s".format(columnwidth) % label,