Community,
The language barrier is hitting me hard. Somehow I managed to learn with a model, but I can't predict, as it now says my Matrix is singular - which I don't understand - is it another word for unique?
Anyhow, here the important bits:
X.shape
(457, 123)
coord.shape
(457, 2)
pred = model.predict(coord, X)
File "...\venv3\lib\site-packages\spglm\iwls.py", line 37, in _compute_betas_gwr xtx_inv_xt = linalg.solve(xtx, xT)
File "...\venv3\lib\site-packages\scipy\linalg\basic.py", line 216, in solve _solve_check(n, info)
File "...\venv3\lib\site-packages\scipy\linalg\basic.py", line 31, in _solve_check raise LinAlgError('Matrix is singular.')
numpy.linalg.LinAlgError: Matrix is singular.
.
In X and coord are numbers (positive and few negative ones, coord are coordinates longitude and latitude).
The Model im trying to use is from this Library:
from mgwr.gwr import GWR
Docs found here
Any help would greatly be appreciated!
Best Regards
A singular matrix is one that cannot be inverted. You can usually solve this by adding some small delta to all entries of the matrix you're trying to invert.