cyh24 / joint-bayesian Goto Github PK

(200, 128)
prepare done, maxNumberInOneClass= 125
Traceback (most recent call last):
File "/data/run/jakie/hp_eval/ag/get_AG_file.py", line 52, in
A, G = joint_bayesian_funcs.JointBayesian_Train(allDeepId, train_y[0:200])
File "../ag/joint_bayesian_funcs.py", line 165, in JointBayesian_Train
G = -np.dot(np.dot(np.linalg.pinv(mi * Su + Sw), Su), F)
File "/usr/lib64/python2.7/site-packages/numpy/linalg/linalg.py", line 1647, in pinv
u, s, vt = svd(a, 0)
File "/usr/lib64/python2.7/site-packages/numpy/linalg/linalg.py", line 1389, in svd
u, s, vt = gufunc(a, signature=signature, extobj=extobj)
ValueError: On entry to DLASCL parameter number 4 had an illegal value

Process finished with exit code 1

python test_lfw.py

(71846, 5900) (71846, 1)
2015-10-27, 19:18:08 PCA training (n_components=2000)...
Traceback (most recent call last):
File "test_lfw.py", line 64, in
excute_train()
File "test_lfw.py", line 22, in excute_train
pca = PCA_Train(data, result_fold)
File "/opt/wjc/Joint-Bayesian/src/joint_bayesian.py", line 122, in PCA_Train
pca.fit(data)
File "/usr/lib64/python2.7/site-packages/sklearn/decomposition/pca.py", line 221, in fit
self._fit(X)
File "/usr/lib64/python2.7/site-packages/sklearn/decomposition/pca.py", line 271, in _fit
U, S, V = linalg.svd(X, full_matrices=False)
File "/usr/lib64/python2.7/site-packages/scipy/linalg/decomp_svd.py", line 104, in svd
full_matrices=full_matrices, overwrite_a=overwrite_a)
ValueError: On entry to SGESDD parameter number 12 had an illegal value

what's your method of solving the error?

Hi, Thanks for the codes. it's easy to use.
here an confusion about data_pre(). I am confused about why you do np.sqrt(data)? is it neccessary? because for CNN feature, it contain negative number. it will produce NAN value.

looking for reply

请问数据去哪里下载？链接都过期了。

为什么数据预处理要sqrt(data)呢？这里不是很懂，求解答！

The final reshape operation seems to be unnecessary.

你好，有没有用c或c++写联合贝叶斯呢？
人脸识别的时候，联合贝叶斯比直接最近邻要好？
谢谢！ 刚刚接触很多不懂的。

这个论文的数据下载不下来，请问能传我一份吗？谢谢了！

Is it pre = dist <= t_s ? Since positive means y==1, while dist >= t_s means negtive.

请问评估性能时，阈值如何取的呢
excute_performance("../result/result.pkl", -16.9, -16.6, 0.01)

Cannot find the datasets used in the code. Opening the link shoes 404 error. Please help

The old link is 404.
Thanks a lot if you can help.