3.2.2

2026-04-30 16:05:45 +08:00
parent 20993e9fae
commit 66621ab351
36 changed files with 7771 additions and 3 deletions
--- a/pycache/config.cpython-38.pyc
+++ b/pycache/config.cpython-38.pyc
--- a/pycache/dataset.cpython-38.pyc
+++ b/pycache/dataset.cpython-38.pyc
--- a/pycache/model_numpy.cpython-38.pyc
+++ b/pycache/model_numpy.cpython-38.pyc
--- a/pycache/train.cpython-38.pyc
+++ b/pycache/train.cpython-38.pyc
--- a/config.py
+++ b/config.py
@@ -20,7 +20,7 @@ KEEP_PROB = 1.0                         # Dropout保留概率（LR忽略，设

 # ==================== 训练相关 ====================
 LEARNING_RATE = 0.05                    # 学习率
-NUM_EPOCHS = 100                        # 训练轮数
+NUM_EPOCHS = 60                        # 训练轮数
 BATCH_SIZE = 64                         # 批次大小

 # ==================== 类别权重（解决数据不平衡问题）====================
@@ -28,7 +28,7 @@ USE_CLASS_WEIGHT = True                 # True=启用类别权重, False=不启
 # 权重计算公式: n_samples / (n_classes * n_class_i)
 # 正面评论多所以权重小，负面评论少所以权重大
 CLASS_WEIGHT_POS = 0.73               # 正面类权重（自动计算）
-CLASS_WEIGHT_NEG = 1.58                # 负面类权重（自动计算）
+CLASS_WEIGHT_NEG = 2.00                # 负面类权重（自动计算）

 # ==================== 实验相关 ====================
 RUN_COMPARISON = False                  # True=运行对比实验, False=运行单个模型
--- a/data/ChnSentiCorp/ChnSentiCorp_htl_all.csv
+++ b/data/ChnSentiCorp/ChnSentiCorp_htl_all.csv
--- a/model_lr_tfidf_weighted_0430_154956_W.npy
+++ b/model_lr_tfidf_weighted_0430_154956_W.npy
--- a/model_lr_tfidf_weighted_0430_154956_b.npy
+++ b/model_lr_tfidf_weighted_0430_154956_b.npy
--- a/model_lr_tfidf_weighted_0430_155326_W.npy
+++ b/model_lr_tfidf_weighted_0430_155326_W.npy
--- a/model_lr_tfidf_weighted_0430_155326_b.npy
+++ b/model_lr_tfidf_weighted_0430_155326_b.npy
--- a/model_mlp_bow_weighted_0430_155642_W1.npy
+++ b/model_mlp_bow_weighted_0430_155642_W1.npy
--- a/model_mlp_bow_weighted_0430_155642_W2.npy
+++ b/model_mlp_bow_weighted_0430_155642_W2.npy
--- a/model_mlp_bow_weighted_0430_155642_b1.npy
+++ b/model_mlp_bow_weighted_0430_155642_b1.npy
--- a/model_mlp_bow_weighted_0430_155642_b2.npy
+++ b/model_mlp_bow_weighted_0430_155642_b2.npy
--- a/model_mlp_bow_weighted_0430_155821_W1.npy
+++ b/model_mlp_bow_weighted_0430_155821_W1.npy
--- a/model_mlp_bow_weighted_0430_155821_W2.npy
+++ b/model_mlp_bow_weighted_0430_155821_W2.npy
--- a/model_mlp_bow_weighted_0430_155821_b1.npy
+++ b/model_mlp_bow_weighted_0430_155821_b1.npy
--- a/model_mlp_bow_weighted_0430_155821_b2.npy
+++ b/model_mlp_bow_weighted_0430_155821_b2.npy
--- a/model_mlp_tfidf_weighted_0430_145335_W1.npy
+++ b/model_mlp_tfidf_weighted_0430_145335_W1.npy
--- a/model_mlp_tfidf_weighted_0430_145335_W2.npy
+++ b/model_mlp_tfidf_weighted_0430_145335_W2.npy
--- a/model_mlp_tfidf_weighted_0430_145335_b1.npy
+++ b/model_mlp_tfidf_weighted_0430_145335_b1.npy
--- a/model_mlp_tfidf_weighted_0430_145335_b2.npy
+++ b/model_mlp_tfidf_weighted_0430_145335_b2.npy
--- a/model_mlp_tfidf_weighted_0430_145356_W1.npy
+++ b/model_mlp_tfidf_weighted_0430_145356_W1.npy
--- a/model_mlp_tfidf_weighted_0430_145356_W2.npy
+++ b/model_mlp_tfidf_weighted_0430_145356_W2.npy
--- a/model_mlp_tfidf_weighted_0430_145356_b1.npy
+++ b/model_mlp_tfidf_weighted_0430_145356_b1.npy
--- a/model_mlp_tfidf_weighted_0430_145356_b2.npy
+++ b/model_mlp_tfidf_weighted_0430_145356_b2.npy
--- a/model_mlp_tfidf_weighted_0430_145425_W1.npy
+++ b/model_mlp_tfidf_weighted_0430_145425_W1.npy
--- a/model_mlp_tfidf_weighted_0430_145425_W2.npy
+++ b/model_mlp_tfidf_weighted_0430_145425_W2.npy
--- a/model_mlp_tfidf_weighted_0430_145425_b1.npy
+++ b/model_mlp_tfidf_weighted_0430_145425_b1.npy
--- a/model_mlp_tfidf_weighted_0430_145425_b2.npy
+++ b/model_mlp_tfidf_weighted_0430_145425_b2.npy
--- a/model_mlp_tfidf_weighted_0430_154813_W1.npy
+++ b/model_mlp_tfidf_weighted_0430_154813_W1.npy
--- a/model_mlp_tfidf_weighted_0430_154813_W2.npy
+++ b/model_mlp_tfidf_weighted_0430_154813_W2.npy
--- a/model_mlp_tfidf_weighted_0430_154813_b1.npy
+++ b/model_mlp_tfidf_weighted_0430_154813_b1.npy
--- a/model_mlp_tfidf_weighted_0430_154813_b2.npy
+++ b/model_mlp_tfidf_weighted_0430_154813_b2.npy
--- a/1
+++ b/1
--- a/对比实验.xlsx
+++ b/对比实验.xlsx