Hi,
Thank you for creating this useful package! I am testing pyGPCCA with this simple transition matrix: [[1,0,0,0],[0,1,0,0],[0,0,0,1],[0,0,1,0]]. For me, there should be three macro-states: {1}, {2}, {3,4}. However, when I run pyGPCCA, the membership prediction is: [[1.00000000e+00, 8.40901724e-17, 2.02549559e-16], [1.56015784e-16, 5.00000000e-01, 5.00000000e-01], [3.22549238e-16, 1.00000000e+00, 1.91366225e-17], [0.00000000e+00, 0.00000000e+00, 1.00000000e+00]], the states 3 and 4 are assigned to two different macro-states, which is very weird to me. Do you know why it happens?
Thank you!
Hi,
Thank you for creating this useful package! I am testing pyGPCCA with this simple transition matrix:
[[1,0,0,0],[0,1,0,0],[0,0,0,1],[0,0,1,0]]. For me, there should be three macro-states: {1}, {2}, {3,4}. However, when I run pyGPCCA, the membership prediction is:[[1.00000000e+00, 8.40901724e-17, 2.02549559e-16], [1.56015784e-16, 5.00000000e-01, 5.00000000e-01], [3.22549238e-16, 1.00000000e+00, 1.91366225e-17], [0.00000000e+00, 0.00000000e+00, 1.00000000e+00]], the states 3 and 4 are assigned to two different macro-states, which is very weird to me. Do you know why it happens?Thank you!