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Use the value of `gibbs_test_samples` to correctly set the settings of `isapprox` on inverse ising formulations regression test.
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A lot of problems have the form: `sum_i f(x_i)`, for example machine learning problems where the sum is over observations in a dataset. We can improve the performance of this if we identify the common…
odow updated
8 months ago
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https://github.com/lanl-ansi/inverse_ising/blob/42291444bd9ac935c958de7a3e6a356fa9886464/Inverse_Ising.jl#L84
High risk of underflow/overflow from chaining logs, sums and exponentials. I don't know…
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How should we deal with float vs int data types?
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I have been unable to get Inverse_Ising.jl to work-
I consistently get errors like this:
ERROR: LoadError: MethodError: no method matching strip(::CSV.Column{String,PooledString})
Closest candida…
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Hello all,
I was wondering if there is a way in TensorLy Quantum to build a parametrised unitary based on a binary Hamiltonian, such as the Ising model given in the examples, for use in the circuit…
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Using this code:
library("bootnet")
library("qgraph")
library(IsingSampler)
library("easybgm")
set.seed(1000)
# Generate a Ising with 6 nodes and scaling the relations with unifrom dist…
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