BayesianDataFusion.jl
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Bayesian multi-tensor factorization methods, with side information
@jaak-s I open this issue to ask how to implement the multi-threaded sampling mode while use macau function. My code current parameter setting is: `using Distributed procs() addprocs(3) procs() result...
I'm opening this issue to begin a conversation about upgrading BayesianDataFusion.jl to be compatible with the most recent version of Julia, 1.x. We've begun upgrading the package on a fork...
Was #6 closed because it was implemented? I see that predictions on the test set include both the predicted value `pred` and the standard deviation `stdev`. ``` julia> result["predictions"] 500000×5...
When testing the example script I get an error on the "subtyping in definition of NormalWishart". Error reproduced below. Related to this [issue](https://github.com/JuliaLang/julia/issues/20949). ```julia Julia Version 0.6.2 Commit d386e40c17* (2017-12-13...
Good speed-ups will be gained by using FastIDF.
Currently distributed matrix product is already done, but uses `Vector{RemoteRef}`. Wrap it into a type and add support for `*`, `At_mul_B` etc. Good for readable and manageable code.