GraphicalModelLearning.jl

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Added ferromagnetic models and glauber sampling functions

4

forrestsheldon

Releases

9

v0.1.0 @JuliaRegistrator register()

ccoffrin

Faster Derivative Computations

2

@marc-vuffray has a proposal to eliminate common subexpressions to make the derivative computations much fasters.

ccoffrin

RISEA Broken?

1

At this line, https://github.com/lanl-ansi/GraphicalModelLearning.jl/blob/master/src/GraphicalModelLearning.jl#L230 I am getting this error message, ``` Currently must provide 2nd order derivatives of univariate functions. Try setting autodiff=true. ```

ccoffrin

Specifying Second Order Factor Graphs as Matrixes

2

by default should these be presented as symmetric or upper triangular?

ccoffrin

Instead of having `symmetrization` in the formulation flag, all learning methods can return a `DiHypergraph` then calling a `symmetrize` function could turn them into `FactorGraph`. Consistent return types helps the...

ccoffrin

Ensure that Factor Graph are symeterized always, use `DiHypergraph` for the current asymetetic data structure.

ccoffrin

Sampler Name

1

Is Gibbs the correct name for the samplers that we have implemented? They look more like brute force enumeration to me.

ccoffrin

Proposal for Graphical Model Data Structure

4

For now we assume discrete models. `(something)` indicates that `something` is optional, everything else is required. A Julia data-structure that can be serialized to JSON as follows, ``` { "order":,...

ccoffrin

Default behavior when parsing CSV

2

How should we deal with float vs int data types?

ccoffrin