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View Code? Open in Web Editor NEWA Python library for computing several metrics related to predictability in human mobility
License: Apache License 2.0
A Python library for computing several metrics related to predictability in human mobility
License: Apache License 2.0
When using your code to find max_predictability, I was getting a lot of results of 0, so I scrutinized your code.
In pred_lims.max_predictability()
, you traverse p
from 1e-4
to 1
with steplength of 1e-4
. At lines 34 and 35, your pi_max
is h+func(p)-S
, and then you're trying to compare pi_max
to 0.001
. I can understand that you are trying to compare S = - H(p) + (1 - p)log(N - 1)
on both sides of the equation, but a major problem here is that pi_max can be negative in some cases, (e.g., p=0.0001, S=1.44, N=3), so an abs() needs to be added here, i.e. if abs(pi max) <= 0.001:
In addition, such a manner to calculate max_predictability is time-consuming, maybe try scipy.optimize.fsolve
.
:)
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