From 49910f430c4a1f15eb6b41c0f7b8475e41e695d9 Mon Sep 17 00:00:00 2001
From: newbie <qyh1510@gmail.com>
Date: Mon, 7 Oct 2024 10:06:20 +0800
Subject: [PATCH] change for Sound

---
 .../__pycache__/loaData.cpython-312.pyc       | Bin 3736 -> 3869 bytes
 Qfunctions/loaData.py                         |   6 ++++
 main.py                                       |  26 +++++++++---------
 3 files changed, 19 insertions(+), 13 deletions(-)

diff --git a/Qfunctions/__pycache__/loaData.cpython-312.pyc b/Qfunctions/__pycache__/loaData.cpython-312.pyc
index 7439bfbe75754d46a1318cc65a863d3075472b68..da10d4c6657cea5c09e5554dde9fd9622e3345be 100644
GIT binary patch
delta 334
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J_979WCIDNKS$hBg

delta 210
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diff --git a/Qfunctions/loaData.py b/Qfunctions/loaData.py
index 5d7272e..0646adf 100644
--- a/Qfunctions/loaData.py
+++ b/Qfunctions/loaData.py
@@ -61,6 +61,12 @@ def load_xlsx(fileName, labelName, max_row_length = 1000, fill_rule = None):
 
     # 提取偶数列
     features = df.iloc[0:, 1::2]
+    # 计算变化率
+    first_value = features.iloc[0, :]  # 获取第一行的数据
+    features_pct_change = (features - first_value) / first_value
+
+    features = features_pct_change
+
     features.dropna(inplace=True)  
     features.reset_index(drop=True, inplace=True)
 
diff --git a/main.py b/main.py
index bcfdbb2..7f968e5 100644
--- a/main.py
+++ b/main.py
@@ -11,7 +11,7 @@ def main():
   label_names =["Accuracy", "Compress", "Distance", "Loss", "Metal", "Python"]
   data = dLoader(projet_name, label_names, isDir=False)
   X_train, X_test, y_train, y_test, encoder = divSet(
-    data=data, labels=label_names, test_size= 0.5
+    data=data, labels=label_names, test_size= 0.2
   )
   
   print(y_train)
@@ -35,20 +35,20 @@ def main():
 
 
   
-  # model = Qmlp(
-  #   X_train=X_train, X_test=X_test, y_train=y_train, y_test= y_test,
-  #   hidden_layers=[32, 32, 32],
-  #   dropout_rate=0
-  #   )
-  # model.fit(100)
+  model = Qmlp(
+    X_train=X_train, X_test=X_test, y_train=y_train, y_test= y_test,
+    hidden_layers=[64, 64],
+    dropout_rate=0
+    )
+  model.fit(100)
   
-  # cm = model.get_cm()
-  # epoch_data = model.get_epoch_data()
+  cm = model.get_cm()
+  epoch_data = model.get_epoch_data()
   
-  # from Qfunctions.saveToxlsx import save_to_xlsx as stx
-  # stx(project_name=projet_name, file_name="cm", data=cm)
-  # stx(project_name=projet_name, file_name="acc_and_loss", data=epoch_data)
-  # print("Done")
+  from Qfunctions.saveToxlsx import save_to_xlsx as stx
+  stx(project_name=projet_name, file_name="cm", data=cm)
+  stx(project_name=projet_name, file_name="acc_and_loss", data=epoch_data)
+  print("Done")
   
 if __name__ == '__main__':
   main()