Reputation: 188
I am trying to do KNN using KNeighborsClassifier with following code -
X_train, X_test, y_train, y_test = train_test_split(X_bow, y, test_size=0.30, random_state=42)
neigh = KNeighborsClassifier(n_neighbors=3)
neigh.fit(X_train, y_train)
But I get following error
ValueError: Unknown label type: 'unknown'
X_train is of type scipy.sparse.csr.csr_matrix and y_train is of type numpy.ndarray.
This is the detailed error I get. Why do I get this error?
ValueError Traceback (most recent call last)
<ipython-input-278-97b47c930597> in <module>
10
11 neigh = KNeighborsClassifier(n_neighbors=3)
---> 12 neigh.fit(X_train, y_train)
c:\users\kishore\appdata\local\programs\python\python36\lib\site-packages\sklearn\neighbors\base.py in fit(self, X, y)
903 self.outputs_2d_ = True
904
--> 905 check_classification_targets(y)
906 self.classes_ = []
907 self._y = np.empty(y.shape, dtype=np.int)
c:\users\kishore\appdata\local\programs\python\python36\lib\site-packages\sklearn\utils\multiclass.py in check_classification_targets(y)
169 if y_type not in ['binary', 'multiclass', 'multiclass-multioutput',
170 'multilabel-indicator', 'multilabel-sequences']:
--> 171 raise ValueError("Unknown label type: %r" % y_type)
172
173
ValueError: Unknown label type: 'unknown'
Edit 1:
My Y is - array([0, 1, 0, ..., 1, 1, 1], dtype=object)
My X is <5600x6031 sparse matrix of type '' with 586188 stored elements in Compressed Sparse Row format>
Upvotes: 0
Views: 3311
Reputation: 380
So, the problem is that your y is of type object and sklearn cannot recognize that.
You can use y=y.astype('int')
before you pass the variable into the classifier
Upvotes: 4