diff --git a/Project.toml b/Project.toml
index ab6403a4..a6d908ef 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) =
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