python - ValueError: Unknown label type array in scikit-learn -


i trying use scikit-learn train , test dataset. first of all, here's dataset (i show top 4 rows of 800 rows) :

full,id,id & ppdb,id & words sequence,id & synonyms,id & hypernyms,id & hyponyms,gold standard 1.667,0.476,0.952,0.476,1.429,0.952,0.476,2.345 3.056,1.111,1.667,1.111,3.056,1.389,1.111,1.9 1.765,1.176,1.176,1.176,1.765,1.176,1.176,2.2 0.714,0.714,0.714,0.714,0.714,0.714,0.714,0.0

and divided columns features , label, label "gold standard". here's code :

import pandas pd import numpy np  sklearn.model_selection import cross_val_score sklearn.model_selection import train_test_split sklearn.neural_network import mlpclassifier  dataset = pd.read_csv("datasupervised.csv")  columns = ["full","id","id & ppdb","id & words sequence","id & synonyms","id & hypernyms","id & hyponyms"]  label = dataset["gold standard"].values features = dataset[list(columns)].values  x = features y = label  print(x.shape) print(y.shape) print dframe = pd.dataframe(x, y).head(800) print dframe print  x_train, x_test, y_train, y_test = train_test_split(features, labels, test_size=0.2, random_state=4)  per = mlpclassifier()  print(per.fit(x_train, y_train))

but said :

file "c:\python27\lib\site-packages\sklearn\utils\multiclass.py", line 98, in unique_labels raise valueerror("unknown label type: %s" % repr(ys)) valueerror: unknown label type: (array([ 5.   ,  5.   ,  2.682,  3.375,  5.   ,  2.2  ,  3.125,  1.5  ,

i don't understand why did so? can explain? thanks


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