Use MAP in favor of MPE

Author: mroavi

src/TensorInference.jl

@@ -29,8 +29,8 @@ export MMAPModel
 include("Core.jl")
 include("RescaledArray.jl")
 include("utils.jl")
-include("inference.jl")
-include("maxprob.jl")
+include("mar.jl")
+include("map.jl")
 include("mmap.jl")
 include("sampling.jl")
 

src/maxprob.jl renamed to src/map.jl

@@ -1,6 +1,6 @@
 [uai2014]
-git-tree-sha1 = "5d2c17ee6ad8e89f046b370e865780dea89e4268"
+git-tree-sha1 = "d05c5e541cc06f1cb4d8e24c1067e07472e36c24"
 
     [[uai2014.download]]
-    sha256 = "22dff6d2b27f5e78b315e4c756c24a0fb9e476c8e814a2546d7f61822426b08a"
+    sha256 = "73c91cd68931aec562499ab66ed2326771b829aa715e790609c6a1b86c9a9ad8"
     url = "https://github.com/mroavi/uai-2014-inference-competition/raw/main/uai2014.tar.gz"

src/inference.jl renamed to src/mar.jl

@@ -9,8 +9,8 @@ include("utils.jl")
     include("mar.jl")
 end
 
-@testset "MPE" begin
-    include("mpe.jl")
+@testset "MAP" begin
+    include("map.jl")
 end
 
 @testset "MMAP" begin

test/Artifacts.toml

@@ -5,7 +5,7 @@ task.
 
 # Arguments
 - `problem_name::String`: The name of the problem or instance.
-- `task::String`: The task type. Supported tasks are "MAR", "MPE", "MMAP", and "PR".
+- `task::String`: The task type. Supported tasks are "MAR", "MAP", "MMAP", and "PR".
 """
 function get_instance_filepaths(problem_name::AbstractString, task::AbstractString)
     model_filepath = joinpath(artifact"uai2014", task, problem_name * ".uai")