sklearn.utils.safe_mask

sklearn.utils.safe_mask(X, mask) [source]

Return a mask which is safe to use on X.

Parameters:	X : {array-like, sparse matrix} Data on which to apply mask. mask : array Mask to be used on X.
Returns:	mask