From 1e2078f428a2e24a861bc6a316619b397df7a7a3 Mon Sep 17 00:00:00 2001
From: Relintai <relintai@protonmail.com>
Date: Fri, 10 Feb 2023 14:15:49 +0100
Subject: [PATCH] Fixed warnings in SoftMaxReg.

---
 mlpp/softmax_reg/softmax_reg.cpp | 9 +++++----
 mlpp/softmax_reg/softmax_reg.h   | 3 ---
 2 files changed, 5 insertions(+), 7 deletions(-)

diff --git a/mlpp/softmax_reg/softmax_reg.cpp b/mlpp/softmax_reg/softmax_reg.cpp
index ea6becf..eb24edb 100644
--- a/mlpp/softmax_reg/softmax_reg.cpp
+++ b/mlpp/softmax_reg/softmax_reg.cpp
@@ -14,7 +14,6 @@
 #include <iostream>
 #include <random>
 
-
 MLPPSoftmaxReg::MLPPSoftmaxReg(std::vector<std::vector<real_t>> inputSet, std::vector<std::vector<real_t>> outputSet, std::string reg, real_t lambda, real_t alpha) :
 		inputSet(inputSet), outputSet(outputSet), n(inputSet.size()), k(inputSet[0].size()), n_class(outputSet[0].size()), reg(reg), lambda(lambda), alpha(alpha) {
 	y_hat.resize(n);
@@ -120,7 +119,9 @@ void MLPPSoftmaxReg::MBGD(real_t learning_rate, int max_epoch, int mini_batch_si
 
 	// Creating the mini-batches
 	int n_mini_batch = n / mini_batch_size;
-	auto [inputMiniBatches, outputMiniBatches] = MLPPUtilities::createMiniBatches(inputSet, outputSet, n_mini_batch);
+	auto batches = MLPPUtilities::createMiniBatches(inputSet, outputSet, n_mini_batch);
+	auto inputMiniBatches = std::get<0>(batches);
+	auto outputMiniBatches = std::get<1>(batches);
 
 	while (true) {
 		for (int i = 0; i < n_mini_batch; i++) {
@@ -154,12 +155,12 @@ void MLPPSoftmaxReg::MBGD(real_t learning_rate, int max_epoch, int mini_batch_si
 }
 
 real_t MLPPSoftmaxReg::score() {
-	MLPPUtilities   util;
+	MLPPUtilities util;
 	return util.performance(y_hat, outputSet);
 }
 
 void MLPPSoftmaxReg::save(std::string fileName) {
-	MLPPUtilities   util;
+	MLPPUtilities util;
 	util.saveParameters(fileName, weights, bias);
 }
 
diff --git a/mlpp/softmax_reg/softmax_reg.h b/mlpp/softmax_reg/softmax_reg.h
index 0d9747a..d477bde 100644
--- a/mlpp/softmax_reg/softmax_reg.h
+++ b/mlpp/softmax_reg/softmax_reg.h
@@ -13,8 +13,6 @@
 #include <string>
 #include <vector>
 
-
-
 class MLPPSoftmaxReg {
 public:
 	MLPPSoftmaxReg(std::vector<std::vector<real_t>> inputSet, std::vector<std::vector<real_t>> outputSet, std::string reg = "None", real_t lambda = 0.5, real_t alpha = 0.5);
@@ -49,5 +47,4 @@ private:
 	real_t alpha; /* This is the controlling param for Elastic Net*/
 };
 
-
 #endif /* SoftmaxReg_hpp */