plot_utils.py 文件源码

def plot_confusion_matrix(cm, target_names, title='Confusion matrix', cmap=plt.cm.Greys, block=True):
    # Colormaps: jet, Greys
    cm_normalized = cm.astype(np.float32) / cm.sum(axis=1)[:, np.newaxis]
    plt.imshow(cm_normalized, interpolation='nearest', cmap=cmap)

    # Show confidences
    for i, cas in enumerate(cm): 
        for j, c in enumerate(cas): 
            if c > 0: 
                plt.text(j-0.1, i+0.2, c, fontsize=16, fontweight='bold', color='#b70000')

    f = plt.figure(1)
    f.clf()
    plt.title(title)
    plt.colorbar()
    tick_marks = np.arange(len(target_names))
    plt.xticks(tick_marks, target_names, rotation=45)
    plt.yticks(tick_marks, target_names)
    plt.tight_layout()
    plt.ylabel('True label')
    plt.xlabel('Predicted label')
    plt.show(block=block)