10/31/2020

10/09/2020

draw roc curve using python sklearn, Matplotlib

import matplotlib.pyplot as plt
from sklearn.metrics import roc_auc_score, average_precision_score
from sklearn import metrics


gt = [1, 0, 1, 0, 1, 1] #origin
pre = [0.9, 0.5, 0.8, 0.4, 0.5, 0.8] #predict
fpr, tpr, thresholds = metrics.roc_curve(gt, pre)
roc_auc = metrics.auc(fpr, tpr)

fig, ax = plt.subplots(figsize=(10,7))
ax.plot(fpr, tpr, label='ROC curve (area = %0.2f)' % roc_auc)
ax.plot(np.linspace(0, 1, 100),
np.linspace(0, 1, 100),
label='baseline',
linestyle='--')
plt.title('Receiver Operating Characteristic Curve', fontsize=18)
plt.ylabel('TPR', fontsize=16)
plt.xlabel('FPR', fontsize=16)
plt.legend(fontsize=12









10/08/2020

print gpu memory status in python

*install pynvml

https://pypi.org/project/pynvml/

pip install pynvml


*use below code in python code

from pynvml import *
nvmlInit()
h = nvmlDeviceGetHandleByIndex(0)
info = nvmlDeviceGetMemoryInfo(h)
print(f'total    : {info.total}')
print(f'free     : {info.free}')
print(f'used     : {info.used}')


10/06/2020

remove duplicated tuple item in list (python code)

 

print(tuple_list)
tuple_list = [ tuple(sorted(tuple_list[i])) for i in range(len(tuple_list))]
tuple_list = list(set(tuple_list))
print(tuple_list)


before:

[(0, 0), (0, 1), (0, 3), (1, 0), (1, 1), (1, 2), (2, 1), (2, 2), (2, 3), (3, 0), (3, 2), (3, 3)]

After:
[(0, 1), (1, 2), (0, 0), (3, 3), (2, 3), (2, 2), (0, 3), (1, 1)]



10/02/2020

No module named 'PIL'

pip install --upgrade pip

 pip install pillow