new file: Figure_1.png

deleted:    best_model.pth
	new file:   checkpoints/forward/best_tcn_model.pt
	new file:   checkpoints/forward/training_history.csv
	new file:   evaluation_outputs/forward/evaluation_forward_test_b0_s0.png
	new file:   sanity_check_alignment_forward.png
	modified:   src/__pycache__/config.cpython-310.pyc
	modified:   src/__pycache__/config.cpython-314.pyc
	modified:   src/__pycache__/dataset.cpython-310.pyc
	modified:   src/__pycache__/dataset.cpython-314.pyc
	modified:   src/__pycache__/model.cpython-310.pyc
	modified:   src/__pycache__/model.cpython-314.pyc
	modified:   src/config.py
	modified:   src/dataset.py
	modified:   src/evaluate.py
	modified:   src/model.py
	new file:   src/sanity_check.py
	modified:   src/train.py
	renamed:    src/__init__.py -> src_old/__init__.py
	new file:   src_old/__pycache__/config.cpython-310.pyc
	new file:   src_old/__pycache__/config.cpython-314.pyc
	new file:   src_old/__pycache__/dataset.cpython-310.pyc
	new file:   src_old/__pycache__/dataset.cpython-314.pyc
	new file:   src_old/__pycache__/evaluate.cpython-314.pyc
	new file:   src_old/__pycache__/model.cpython-310.pyc
	new file:   src_old/__pycache__/model.cpython-314.pyc
	new file:   src_old/__pycache__/train.cpython-310.pyc
	new file:   src_old/__pycache__/train.cpython-314.pyc
	new file:   src_old/config.py
	new file:   src_old/dataset.py
	new file:   src_old/evaluate.py
	new file:   src_old/model.py
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	deleted:    test_results.png

src_old/config.py

@@ -0,0 +1,36 @@
+import os
+
+# Data Configuration
+# 使用基于当前文件的绝对路径拼接，以防止你在不同目录下运行报错
+DATA_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'downloads')
+SEQ_LEN = 512 # 滑动窗口的长度 (时间序列步数)
+STEP_SIZE = 20       # 滑动窗口的步长
+BATCH_SIZE = 128
+
+# Features Configuration
+INPUT_SENSOR = 'WSMS00012'
+OUTPUT_SENSORS = ['WSMS00007', 'WSMS00008', 'WSMS00009', 'WSMS00010', 'WSMS00011']
+INPUT_AXIS = 'value1'   # 底部传感器输入轴（课程要求：X轴）
+OUTPUT_AXIS = 'value3'  # 目标传感器输出轴
+
+# Model Configuration
+CHANNELS = [64, 64, 128, 128, 256, 256] # TCN 各层通道数
+KERNEL_SIZE = 5
+DROPOUT = 0.1
+
+# Training Configuration
+LEARNING_RATE = 3e-4
+EPOCHS = 50
+WEIGHT_DECAY = 1e-4
+ENABLE_EARLY_STOP = False
+EARLY_STOP_PATIENCE = 15
+SPECTRAL_LOSS_WEIGHT = 0.25
+CORR_LOSS_WEIGHT = 0.05
+MSE_LOSS_WEIGHT = 0.5
+STD_LOSS_WEIGHT = 0.3
+PEAK_LOSS_WEIGHT = 0.2
+CORR_LOSS_EPS = 1e-8
+
+# Device
+import torch
+DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu'