When I import the function check_array
from module sklearn.utils.validation
, it got an Import Error (ImportError: cannot import name check_array
).
The tab completion got check_arrays
, but I'm wondering there only exists a function called check_array
in validation.py
( source code on Github).
Besides, the spectral clustering algorithm implemented in scikit-learn/sklearn/cluster/spectral.py also used from ..utils.validation import check_array
, not check_arrays
.
I'm quite confused about this, and my scikit-learn version is '0.15.0b1'
. Hope somebody gives me a clue.
import numpy as np
from sklearn.utils.validation import check_array
def my_fit_affinity(X, affinity_type, n_neighbors, **kernel_params):
""" Create an affinity matrix for X using the selected affinity type
"""
X = check_array(X, accept_sparse = ['csr', 'csc', 'coo'])
....
return affinity_matrix_
If you use jupyter notebook, try restarting your kernel.
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