liuxiaolong19920720 / predict-facial-attractiveness Goto Github PK

加载决策树pkl模型出错，是不是对sklearn版本有要求？

Traceback (most recent call last):
File "myPredict.py", line 8, in
clf = joblib.load(root+'model/my_face_rating.pkl')
File "/usr/local/lib/python2.7/site-packages/sklearn/externals/joblib/numpy_pickle.py", line 573, in load
return load_compatibility(fobj)
File "/usr/local/lib/python2.7/site-packages/sklearn/externals/joblib/numpy_pickle_compat.py", line 226, in load_compatibility
obj = unpickler.load()
File "/usr/local/Cellar/python/2.7.13_1/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.py", line 864, in load
dispatchkey
File "/usr/local/lib/python2.7/site-packages/sklearn/externals/joblib/numpy_pickle_compat.py", line 177, in load_build
Unpickler.load_build(self)
File "/usr/local/Cellar/python/2.7.13_1/Frameworks/Python.framework/Versions/2.7/lib/python2.7/pickle.py", line 1223, in load_build
setstate(state)
File "sklearn/tree/_tree.pyx", line 632, in sklearn.tree._tree.Tree.setstate (sklearn/tree/_tree.c:8128)
KeyError: 'max_depth'

File "D:\Study\Anaconda\envs\opencv\lib\site-packages\sklearn\tree\tree.py", line 194, in fit
% self.min_samples_split)
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1

I am totally a tyro , the error above I can resolve, please help! I will appreciate it so much, thank you.

[[ 2.70908844]
[ 2.70908844]
[ 2.70908844]
[ 2.70908844]
[ 2.70908844]
[ 2.70908844]]

Hello ... I am using your code .. but getting error at this line

features_test = pca.transform(features_test)

this is the 17th line in myPredict.py ... i am assuming that the version of sklearn you choosed to develop this code is updated. So can you please tell me how to solve it or just tell me the version of sklearn which works perfectly. Thanks

Hello, I have this mistake:

ValueError: Expected 2D array, got 1D array instead

Thanks!

Warning (from warnings module):
File "C:\Python27\lib\site-packages\sklearn\base.py", line 253
UserWarning)
UserWarning: Trying to unpickle estimator DecisionTreeRegressor from version pre-0.18 when using version 0.20.3. This might lead to breaking code or invalid results. Use at your own risk.

Traceback (most recent call last):
File "C:\Python27\predict-facial-attractiveness-master\source\myPredict.py", line 7, in
clf = joblib.load(root+'model\my_face_rating.pkl')
File "C:\Python27\lib\site-packages\sklearn\externals\joblib\numpy_pickle.py", line 596, in load
return load_compatibility(fobj)
File "C:\Python27\lib\site-packages\sklearn\externals\joblib\numpy_pickle_compat.py", line 226, in load_compatibility
obj = unpickler.load()
File "C:\Python27\lib\pickle.py", line 864, in load
dispatchkey
File "C:\Python27\lib\site-packages\sklearn\externals\joblib\numpy_pickle_compat.py", line 177, in load_build
Unpickler.load_build(self)
File "C:\Python27\lib\pickle.py", line 1223, in load_build
setstate(state)
File "sklearn\tree_tree.pyx", line 649, in sklearn.tree._tree.Tree.setstate
KeyError: 'max_depth'

Is it possible to use this code to predict facial attractiveness for my own inputted images?