GaussianNB().fit(_,_,sample_weights) , sample_weights only takes lists #8329
Description
Description
When using GaussianNB with weights to fit, it only accepts numpy arrays and not generic python lists which is contrary to other algoithms in sklearn
Related bug/feature request: #4346
Steps/Code to Reproduce
from sklearn.naive_bayes import GaussianNB
import numpy as np
gnb = GaussianNB()
# gnb.fit([[1,2],[2,2],[1,1]],[1,2,1],[1,1,1]) # causes error here
'''
ERROR:
Traceback (most recent call last):
File "testGNBWeights.py", line 5, in <module>
gnb.fit([[1,2],[2,2],[1,1]],[1,2,1],[1,1,1]) # causes error here
File "/usr/local/lib/python2.7/dist-packages/sklearn/naive_bayes.py", line 184, in fit
sample_weight=sample_weight)
File "/usr/local/lib/python2.7/dist-packages/sklearn/naive_bayes.py", line 398, in _partial_fit
sw_i = sample_weight[y == y_i]
'''
gnb.fit([[1,2],[2,2],[1,1]],[1,2,1],np.array([1,1,1])) # this works!
Expected Results
NA
Actual Results
Error