From c724954f784fdd48c7ea6e1f9ebbed42e3a45daf Mon Sep 17 00:00:00 2001
From: Lukas Karras <karras.lukas@web.de>
Date: Tue, 26 Nov 2024 08:34:27 +0100
Subject: [PATCH] fix: nn learn now takes training data in its order (this
 prevents that some vectors are never used)

---
 src/classes/neural/network.py | 2 +-
 src/main.py                   | 6 ++++--
 2 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/src/classes/neural/network.py b/src/classes/neural/network.py
index d1f8236..153bade 100644
--- a/src/classes/neural/network.py
+++ b/src/classes/neural/network.py
@@ -38,7 +38,7 @@ class NeuralNetwork:
         correct_amount = 0
         false_amount = 0
         for i in range(len(training_set)):
-            fv_to_train = random.choice(training_set)
+            fv_to_train = training_set # random.choice(training_set)
             classified_concept, correct = self.classify(fv_to_train)
             
             if not correct:
diff --git a/src/main.py b/src/main.py
index d208407..4f89992 100644
--- a/src/main.py
+++ b/src/main.py
@@ -68,9 +68,9 @@ def neural_network(training = os.path.abspath(os.path.join(__file__, "..", "trai
         next(reader)
         i = 0
         for row in reader:
-            i += 1
             if i > num_training_vectors:
                 break
+            i += 1
 
             float_list = ast.literal_eval(row[3])
 
@@ -100,4 +100,6 @@ def neural_network(training = os.path.abspath(os.path.join(__file__, "..", "trai
     return [cnt_correct, cnt_data - cnt_correct, cnt_data]  # richtig, falsch, amount of testing data
 
 if __name__ == "__main__":
-    neural_network()
\ No newline at end of file
+    for i in range(100, 10000, 100):
+        print(f"{i} training vectors: ", end="")
+        neural_network()
\ No newline at end of file