PrimeIntellect/SWE-rebench-V2 huggingface dataset:
Repository: JuliaAI/MLJBase.jl (julia)

Issue:
Update to LossFunctions.jl v0.10
We are gradually cleaning up the LossFunctions.jl package, simplifying the interface and making the code more general. Can you please review the latest changes and bump the version here again?

The main breaking changes from v0.9 to v0.10 are:

1. The `value(loss, yhat, y)` function is replaced by the functor `loss(yhat, y)`
2. The AggMode submode is gone in favor of `sum(loss, yhats, ys, [weights])` and `mean(loss, yhats, ys, [weights])`

cc: @ablaom @OkonSamuel

Pull request:
Closes #902

Patch:
diff --git a/Project.toml b/Project.toml
index 0a9b02df..09fc7b2b 100644
--- a/Project.toml
+++ b/Project.toml
@@ -35,7 +35,7 @@ CategoricalDistributions = "0.1"
 ComputationalResources = "0.3"
 Distributions = "0.25.3"
 InvertedIndices = "1"
-LossFunctions = "0.9"
+LossFunctions = "0.10"
 MLJModelInterface = "1.7"
 Missings = "0.4, 1"
 OrderedCollections = "1.1"
diff --git a/src/measures/loss_functions_interface.jl b/src/measures/loss_functions_interface.jl
index 42e9bdbf..5d7d6125 100644
--- a/src/measures/loss_functions_interface.jl
+++ b/src/measures/loss_functions_interface.jl
@@ -130,7 +130,7 @@ MMI.prediction_type(::Type{<:DistanceLoss}) = :deterministic
 MMI.target_scitype(::Type{<:DistanceLoss}) = Union{Vec{Continuous},Vec{Count}}
 
 call(measure::DistanceLoss, yhat, y) =
-    LossFunctions.value(getfield(measure, :loss), yhat, y)
+    (getfield(measure, :loss)).(yhat, y)
 
 function call(measure::DistanceLoss, yhat, y, w::AbstractArray)
     return w .* call(measure, yhat, y)
@@ -147,8 +147,8 @@ _scale(p) = 2p - 1
 
 function call(measure::MarginLoss, yhat, y)
     probs_of_observed = broadcast(pdf, yhat, y)
-    return (LossFunctions.value).(getfield(measure, :loss),
-                                  _scale.(probs_of_observed), 1)
+    loss = getfield(measure, :loss)
+    return loss.(_scale.(probs_of_observed), 1)
 end
 
 call(measure::MarginLoss, yhat, y, w::AbstractArray) =


Test patch:
diff --git a/test/measures/loss_functions_interface.jl b/test/measures/loss_functions_interface.jl
index d5894eb8..8c59945b 100644
--- a/test/measures/loss_functions_interface.jl
+++ b/test/measures/loss_functions_interface.jl
@@ -42,9 +42,9 @@ end
 
     for M_ex in MARGIN_LOSSES
         m = eval(:(MLJBase.$M_ex()))
-        @test m(yhat, y) ≈ LossFunctions.value(getfield(m, :loss), yhatm, ym)
+        @test m(yhat, y) ≈ (getfield(m, :loss)).(yhatm, ym)
         @test m(yhat, y, w) ≈
-            w .* LossFunctions.value(getfield(m, :loss), yhatm, ym)
+            w .* (getfield(m, :loss)).(yhatm, ym)
     end
 end
 
@@ -61,8 +61,8 @@ end
         m_ex = MLJBase.snakecase(M_ex)
         @test m == eval(:(MLJBase.$m_ex))
         @test m(yhat, y) ≈
-            LossFunctions.value(getfield(m, :loss), yhat, y)
+            (getfield(m, :loss)).(yhat, y)
         @test m(yhat ,y, w) ≈
-            w .* LossFunctions.value(getfield(m, :loss), yhat, y)
+            w .* (getfield(m, :loss)).(yhat, y)
     end
 end