delta_t: Delta Tau
In BenjiUvA/Learning_Ising_Model: LIMA data simulation
Description
Delta Tau
Usage
1
delta_t(tau, X, e = 0.001, l = 0.001)
Arguments
tau
is vector that contains a threshold for each node
X
is the configuration of the network for which you want to update tau
e
is the learning parameter (default = .001)
l
is the decay parameter (default = .001)
BenjiUvA/Learning_Ising_Model documentation built on June 8, 2019, 3:44 a.m.
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Description
Delta Tau
Usage
1 | delta_t(tau, X, e = 0.001, l = 0.001)
|
Arguments
tau |
is vector that contains a threshold for each node |
X |
is the configuration of the network for which you want to update tau |
e |
is the learning parameter (default = .001) |
l |
is the decay parameter (default = .001) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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