def F(self):
if not hasattr(self, "_F"):
F = np.zeros_like(self.P)
for i, p in enumerate(self.P):
F[i] = fmpt(np.asarray(p))
self._F = np.asarray(F)
return self._F
def get_mfpt(x):
"""Calculate mean-first-passage time of a given transition
matrix. Set self-transitions to zero. Note that the pysal code
(ergodic.py) calls it "first-mean-passage-time"."""
# NB! The ergodic code expects a matrix, not a numpy array. Breaks
# otherwise.
x = np.matrix(x)
x = np.array(ergodic.fmpt(x))
set_self_transition_zero(x)
return x
def get_mfpt(x):
"""Calculate mean-first-passage time of a given transition
matrix. Set self-transitions to zero. Note that the pysal code
(ergodic.py) calls it "first-mean-passage-time"."""
# NB! The ergodic code expects a matrix, not a numpy array. Breaks
# otherwise.
x = np.matrix(x)
x = np.array(ergodic.fmpt(x))
set_self_transition_zero(x)
return x
def fmpt(self):
if not hasattr(self, "_fmpt"):
self._fmpt = fmpt(self.p, fill_empty_classes=True)
return self._fmpt
def f(self):
if not hasattr(self, "_f"):
self._f = fmpt(self.p)
return self._f