From 6074e56de2b6547d3ac05a4b1f2a8dd6ce79f56b Mon Sep 17 00:00:00 2001
From: Joakim Skogholt <onlinereg@skogholt.xyz>
Date: Wed, 10 May 2023 13:50:37 +0200
Subject: [PATCH] New attempt...

---
 src/convenience.jl | 8 +-------
 1 file changed, 1 insertion(+), 7 deletions(-)

diff --git a/src/convenience.jl b/src/convenience.jl
index a34cca8..e231a36 100644
--- a/src/convenience.jl
+++ b/src/convenience.jl
@@ -13,7 +13,7 @@ XVal             = my_split["XVal"];
 =#
 
 
-
+using Random
 
 
 
@@ -36,8 +36,6 @@ Creates training/validation/test split for dataset
 """
 function createDataSplitInds(X, nSplits, props=[6/10, 2/10, 2/10], rngseed=42)
 
-using Random
-
 n             = size(X, 1);
 nTrainValTest = zeros(3);
 splits        = convert(Matrix{Int64}, zeros(n, nSplits));
@@ -84,8 +82,6 @@ Creates training/validation/test split for dataset
 """
 function createDataSplitInds(X::Int64, nSplits, props=[6/10, 2/10, 2/10], rngseed=42)
 
-using Random
-
 n             = X;
 nTrainValTest = zeros(3);
 splits        = convert(Matrix{Int64}, zeros(n, nSplits));
@@ -160,8 +156,6 @@ Creates stratified training/validation/test split for dataset. Assumes G is code
 """
 function createDataSplitBinaryStratified(G::Vector, nSplits, props=[6/10, 2/10, 2/10], rngseed=42)
 
-using Random
-
 n      = length(G);
 splits = convert(Matrix{Int64}, zeros(n, nSplits));