From dc6667442650fd2b1bac9e2e9fad58c29dfb518c Mon Sep 17 00:00:00 2001
From: Jadon Clugston <34165782+jClugstor@users.noreply.github.com>
Date: Thu, 14 Dec 2023 15:19:10 -0500
Subject: [PATCH] Add clarifying comments

---
 src/operations.jl | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/src/operations.jl b/src/operations.jl
index 5a9ecc8..7e72638 100644
--- a/src/operations.jl
+++ b/src/operations.jl
@@ -405,6 +405,7 @@ const route2operation_type = Dict(
     "ensemble-calibrate" => EnsembleCalibrate
 )
 
+# modified from EasyModelAnalysis.jl
 function sciml_service_l2loss(pvals, (prob, pkeys, data)::Tuple{Vararg{Any, 3}})
     p = Pair.(pkeys, pvals)
     ts = first.(last.(data))
@@ -422,9 +423,10 @@ function sciml_service_l2loss(pvals, (prob, pkeys, data)::Tuple{Vararg{Any, 3}})
 end
 
 # assumes data is given in the form column_label => data, need sol_mappings to be of form column_label => observable
+# modified from EasyModelAnalysis.jl
 function ensemble_weights(sol::SciMLBase.EnsembleSolution, data_ensem, sol_mappings_list)
     col = first.(data_ensem)
     predictions = reduce(vcat, reduce(hcat,[sol[i][Symbol(sol_mappings_list[i][s])] for i in 1:length(sol)]) for s in col)
     data = reduce(vcat, [data_ensem[i][2] isa Tuple ? data_ensem[i][2][2] : data_ensem[i][2] for i in 1:length(data_ensem)])
     weights = predictions \ data 
-end
\ No newline at end of file
+end