def all_finite(self,X):
        """returns true if X is finite, false, otherwise"""
        # Adapted from sklearn utils: _assert_all_finite(X)
        # First try an O(n) time, O(1) space solution for the common case that
        # everything is finite; fall back to O(n) space np.isfinite to prevent
        # false positives from overflow in sum method.
        # Note: this is basically here because sklearn tree.py uses float32 internally,
        # and float64's that are finite are not finite in float32.
        if (X.dtype.char in np.typecodes['AllFloat']
            and not np.isfinite(np.asarray(X,dtype='float32').sum())
            and not np.isfinite(np.asarray(X,dtype='float32')).all()):
            return False
        return True
def all_finite ( self , X ) : if ( X . dtype . char in np . typecodes [ 'AllFloat' ] and not np . isfinite ( np . asarray ( X , dtype = 'float32' ) . sum ( ) ) and not np . isfinite ( np . asarray ( X , dtype = 'float32' ) ) . all ( ) ) : return False return True
returns true if X is finite, false, otherwise