---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
[<ipython-input-227-07ade1a53cbc>](https://localhost:8080/#) in <module>
      3 from sklearn.neighbors import KNeighborsRegressor
      4 neigh = KNeighborsRegressor(n_neighbors=2, metric="nan_euclidean")
----> 5 neigh.fit(X, y)
      6 neigh.predict([[1.5, 3]])

5 frames
[/usr/local/lib/python3.8/dist-packages/sklearn/neighbors/_regression.py](https://localhost:8080/#) in fit(self, X, y)
    211         self.weights = _check_weights(self.weights)
    212 
--> 213         return self._fit(X, y)
    214 
    215     def predict(self, X):

[/usr/local/lib/python3.8/dist-packages/sklearn/neighbors/_base.py](https://localhost:8080/#) in _fit(self, X, y)
    398         if self._get_tags()["requires_y"]:
    399             if not isinstance(X, (KDTree, BallTree, NeighborsBase)):
--> 400                 X, y = self._validate_data(X, y, accept_sparse="csr", multi_output=True)
    401 
    402             if is_classifier(self):

[/usr/local/lib/python3.8/dist-packages/sklearn/base.py](https://localhost:8080/#) in _validate_data(self, X, y, reset, validate_separately, **check_params)
    579                 y = check_array(y, **check_y_params)
    580             else:
--> 581                 X, y = check_X_y(X, y, **check_params)
    582             out = X, y
    583 

[/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py](https://localhost:8080/#) in check_X_y(X, y, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, estimator)
    962         raise ValueError("y cannot be None")
    963 
--> 964     X = check_array(
    965         X,
    966         accept_sparse=accept_sparse,

[/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py](https://localhost:8080/#) in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator)
    798 
    799         if force_all_finite:
--> 800             _assert_all_finite(array, allow_nan=force_all_finite == "allow-nan")
    801 
    802     if ensure_min_samples > 0:

[/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py](https://localhost:8080/#) in _assert_all_finite(X, allow_nan, msg_dtype)
    112         ):
    113             type_err = "infinity" if allow_nan else "NaN, infinity"
--> 114             raise ValueError(
    115                 msg_err.format(
    116                     type_err, msg_dtype if msg_dtype is not None else X.dtype

ValueError: Input contains NaN, infinity or a value too large for dtype('float64').