中国经济政策不确定性指数(2000.1-2025.7)

经济政策不确定性(Economic Policy Uncertainty, EPU)是指由于政府在财政、货币、贸易、产业等方面的政策走向存在不确定性,从而导致市场主体(企业、投资者、消费者等)难以对未来经济环境做出准确预期的一种状态

中国经济政策不确定性指数,用于衡量我国经济政策的不确定性。参考Bloom, Baker和Davis(2016)的研究,利用Wisers信息门户,获取报纸并搜索关键词构建指数。包括总指数、财政政策、货币政策、贸易政策、汇率不确定指数

报纸包括:北京青年报、广州日报、解放日报、人民日报海外版、上海晨报、南方都市报、新京报、今晚报、文汇报和羊城晚报。中国经济政策不确定指数数据于2025年8月更新,包含月度(2000.1-2025.7)和日度数据(2000.1-2022.6)

一、数据介绍

数据名称:中国经济政策不确定性指数

数据范围:中国,包含月度(2000.1-2025.7)和日度数据(2000.1-2022.6)

时间范围:2000.1-2025.7

数据来源:China Economic Policy Uncertainty Index

更新时间:2025年8月,持续更新

二、数据指标

三、数据概览

中国经济政策不确定性指数

中国经济政策不确定性指数数据明细

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2025-06-22 18:56:53.192710: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2025-06-22 18:56:54.136866: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2025-06-22 18:56:56,467 - INFO - 加载并增强数据集: augmented_data 2025-06-22 18:56:56,560 - INFO - 原始数据集: 150 张图片, 5 个类别 2025-06-22 18:56:56,565 - INFO - 类别 book: 30 张原始图像 2025-06-22 18:56:56,989 - INFO - 类别 cup: 30 张原始图像 2025-06-22 18:56:57,403 - INFO - 类别 glasses: 30 张原始图像 2025-06-22 18:56:57,820 - INFO - 类别 phone: 30 张原始图像 2025-06-22 18:56:58,248 - INFO - 类别 shoe: 30 张原始图像 2025-06-22 18:56:58,859 - INFO - 增强后数据集: 450 张图片 2025-06-22 18:56:58,954 - INFO - 构建优化的迁移学习模型... 2025-06-22 18:56:58.959007: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. Model: "functional" ┌─────────────────────┬───────────────────┬────────────┬───────────────────┐ │ Layer (type) │ Output Shape │ Param # │ Connected to │ ├─────────────────────┼───────────────────┼────────────┼───────────────────┤ │ input_layer_1(None, 224, 224, │ 0 │ - │ │ (InputLayer) │ 3) │ │ │ ├─────────────────────┼───────────────────┼────────────┼───────────────────┤ │ efficientnetb0 │ (None, 7, 7, │ 4,049,571 │ input_layer_1[0]… │ │ (Functional)1280) │ │ │ ├─────────────────────┼───────────────────┼────────────┼───────────────────┤ │ global_average_poo… │ (None, 1280) │ 0 │ efficientnetb0[0… │ │ (GlobalAveragePool… │ │ │ │ ├─────────────────────┼───────────────────┼────────────┼───────────────────┤ │ dense (Dense)(None, 512) │ 655,872 │ global_average_p… │ ├─────────────────────┼───────────────────┼────────────┼───────────────────┤ │ dense_1 (Dense)(None, 1280) │ 656,640 │ dense[0][0] │ ├─────────────────────┼───────────────────┼────────────┼───────────────────┤ │ multiply (Multiply)(None, 1280) │ 0 │ global_average_p… │ │ │ │ │ dense_1[0][0] │ ├─────────────────────┼───────────────────┼────────────┼───────────────────┤ │ dense_2 (Dense)(None, 512) │ 655,872 │ multiply[0][0] │ ├─────────────────────┼───────────────────┼────────────┼───────────────────┤ │ batch_normalization │ (None, 512) │ 2,048 │ dense_2[0][0] │ │ (BatchNormalizatio… │ │ │ │ ├─────────────────────┼───────────────────┼────────────┼───────────────────┤ │ dropout (Dropout)(None, 512) │ 0 │ batch_normalizat… │ ├─────────────────────┼───────────────────┼────────────┼───────────────────┤ │ dense_3 (Dense)(None, 5) │ 2,565 │ dropout[0][0] │ └─────────────────────┴───────────────────┴────────────┴───────────────────┘ Total params: 6,022,568 (22.97 MB) Trainable params: 1,971,973 (7.52 MB) Non-trainable params: 4,050,595 (15.45 MB) 2025-06-22 18:56:59,882 - INFO - 开始高级训练策略... 2025-06-22 18:56:59,882 - INFO - 阶段1: 冻结基础模型训练 Epoch 1/50 23/23 ━━━━━━━━━━━━━━━━━━━━ 16s 442ms/step - accuracy: 0.2001 - loss: 1.7270 - val_accuracy: 0.2000 - val_loss: 1.6104 - learning_rate: 1.0000e-04 Epoch 2/50 23/23 ━━━━━━━━━━━━━━━━━━━━ 8s 335ms/step - accuracy: 0.1486 - loss: 1.7114 - val_accuracy: 0.2000 - val_loss: 1.6100 - learning_rate: 1.0000e-04 Epoch 3/50 23/23 ━━━━━━━━━━━━━━━━━━━━ 8s 332ms/step - accuracy: 0.2337 - loss: 1.7239 - val_accuracy: 0.2000 - val_loss: 1.6117 - learning_rate: 1.0000e-04 Epoch 4/50 23/23 ━━━━━━━━━━━━━━━━━━━━ 8s 335ms/step - accuracy: 0.2558 - loss: 1.6466 - val_accuracy: 0.2000 - val_loss: 1.6104 - learning_rate: 1.0000e-04 Epoch 5/50 23/23 ━━━━━━━━━━━━━━━━━━━━ 0s 270ms/step - accuracy: 0.2281 - loss: 1.6503 Epoch 5: ReduceLROnPlateau reducing learning rate to 4.999999873689376e-05. 23/23 ━━━━━━━━━━━━━━━━━━━━ 8s 367ms/step - accuracy: 0.2271 - loss: 1.6513 - val_accuracy: 0.2111 - val_loss: 1.6118 - learning_rate: 1.0000e-04 Epoch 6/50 23/23 ━━━━━━━━━━━━━━━━━━━━ 8s 333ms/step - accuracy: 0.1899 - loss: 1.6756 - val_accuracy: 0.2000 - val_loss: 1.6112 - learning_rate: 5.0000e-05 Epoch 7/50 23/23 ━━━━━━━━━━━━━━━━━━━━ 8s 333ms/step - accuracy: 0.2394 - loss: 1.6269 - val_accuracy: 0.2000 - val_loss: 1.6128 - learning_rate: 5.0000e-05 Epoch 8/50 23/23 ━━━━━━━━━━━━━━━━━━━━ 0s 266ms/step - accuracy: 0.2041 - loss: 1.7332 Epoch 8: ReduceLROnPlateau reducing learning rate to 2.499999936844688e-05. 23/23 ━━━━━━━━━━━━━━━━━━━━ 8s 333ms/step - accuracy: 0.2042 - loss: 1.7319 - val_accuracy: 0.2000 - val_loss: 1.6103 - learning_rate: 5.0000e-05 Epoch 9/50 23/23 ━━━━━━━━━━━━━━━━━━━━ 8s 355ms/step - accuracy: 0.1765 - loss: 1.6814 - val_accuracy: 0.3333 - val_loss: 1.6107 - learning_rate: 2.5000e-05 2025-06-22 18:58:18,867 - INFO - 阶段2: 微调部分层 Epoch 1/25 23/23 ━━━━━━━━━━━━━━━━━━━━ 18s 460ms/step - accuracy: 0.2374 - loss: 2.4082 - val_accuracy: 0.2000 - val_loss: 1.6107 - learning_rate: 1.0000e-05 Epoch 2/25 23/23 ━━━━━━━━━━━━━━━━━━━━ 9s 390ms/step - accuracy: 0.2021 - loss: 2.2585 - val_accuracy: 0.2000 - val_loss: 1.6112 - learning_rate: 1.0000e-05 Epoch 3/25 23/23 ━━━━━━━━━━━━━━━━━━━━ 9s 375ms/step - accuracy: 0.2259 - loss: 2.3548 - val_accuracy: 0.2111 - val_loss: 1.6121 - learning_rate: 1.0000e-05 Epoch 4/25 23/23 ━━━━━━━━━━━━━━━━━━━━ 0s 307ms/step - accuracy: 0.2416 - loss: 2.0942 Epoch 4: ReduceLROnPlateau reducing learning rate to 4.999999873689376e-06. 23/23 ━━━━━━━━━━━━━━━━━━━━ 9s 374ms/step - accuracy: 0.2405 - loss: 2.1006 - val_accuracy: 0.2000 - val_loss: 1.6127 - learning_rate: 1.0000e-05 Epoch 5/25 23/23 ━━━━━━━━━━━━━━━━━━━━ 9s 377ms/step - accuracy: 0.2053 - loss: 2.1248 - val_accuracy: 0.2000 - val_loss: 1.6136 - learning_rate: 5.0000e-06 Epoch 6/25 23/23 ━━━━━━━━━━━━━━━━━━━━ 9s 382ms/step - accuracy: 0.1995 - loss: 2.2549 - val_accuracy: 0.2000 - val_loss: 1.6150 - learning_rate: 5.0000e-06 Epoch 7/25 23/23 ━━━━━━━━━━━━━━━━━━━━ 0s 305ms/step - accuracy: 0.1949 - loss: 2.1615 Epoch 7: ReduceLROnPlateau reducing learning rate to 2.499999936844688e-06. 23/23 ━━━━━━━━━━━━━━━━━━━━ 9s 373ms/step - accuracy: 0.1962 - loss: 2.1615 - val_accuracy: 0.2000 - val_loss: 1.6165 - learning_rate: 5.0000e-06 Epoch 8/25 23/23 ━━━━━━━━━━━━━━━━━━━━ 9s 375ms/step - accuracy: 0.2320 - loss: 2.1199 - val_accuracy: 0.2000 - val_loss: 1.6186 - learning_rate: 2.5000e-06 Epoch 9/25 23/23 ━━━━━━━━━━━━━━━━━━━━ 9s 378ms/step - accuracy: 0.2379 - loss: 2.1694 - val_accuracy: 0.2000 - val_loss: 1.6204 - learning_rate: 2.5000e-06 2025-06-22 18:59:46,920 - INFO - 训练完成 2025-06-22 18:59:46,920 - INFO - 评估模型... 2025-06-22 18:59:48,600 - INFO - 测试准确率: 20.00% E:\pycharm\study\计算机视觉\物品识别系统.py:313: UserWarning: Glyph 20934 (\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:313: UserWarning: Glyph 30830 (\N{CJK UNIFIED IDEOGRAPH-786E}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:313: UserWarning: Glyph 29575 (\N{CJK UNIFIED IDEOGRAPH-7387}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:313: UserWarning: Glyph 35757 (\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:313: UserWarning: Glyph 32451 (\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:313: UserWarning: Glyph 21644 (\N{CJK UNIFIED IDEOGRAPH-548C}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:313: UserWarning: Glyph 39564 (\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:313: UserWarning: Glyph 35777 (\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:313: UserWarning: Glyph 25439 (\N{CJK UNIFIED IDEOGRAPH-635F}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:313: UserWarning: Glyph 22833 (\N{CJK UNIFIED IDEOGRAPH-5931}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:314: UserWarning: Glyph 20934 (\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from font(s) DejaVu Sans. plt.savefig('training_history.png') E:\pycharm\study\计算机视觉\物品识别系统.py:314: UserWarning: Glyph 30830 (\N{CJK UNIFIED IDEOGRAPH-786E}) missing from font(s) DejaVu Sans. plt.savefig('training_history.png') E:\pycharm\study\计算机视觉\物品识别系统.py:314: UserWarning: Glyph 29575 (\N{CJK UNIFIED IDEOGRAPH-7387}) missing from font(s) DejaVu Sans. plt.savefig('training_history.png') E:\pycharm\study\计算机视觉\物品识别系统.py:314: UserWarning: Glyph 35757 (\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from font(s) DejaVu Sans. plt.savefig('training_history.png') E:\pycharm\study\计算机视觉\物品识别系统.py:314: UserWarning: Glyph 32451 (\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from font(s) DejaVu Sans. plt.savefig('training_history.png') E:\pycharm\study\计算机视觉\物品识别系统.py:314: UserWarning: Glyph 21644 (\N{CJK UNIFIED IDEOGRAPH-548C}) missing from font(s) DejaVu Sans. plt.savefig('training_history.png') E:\pycharm\study\计算机视觉\物品识别系统.py:314: UserWarning: Glyph 39564 (\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from font(s) DejaVu Sans. plt.savefig('training_history.png') E:\pycharm\study\计算机视觉\物品识别系统.py:314: UserWarning: Glyph 35777 (\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from font(s) DejaVu Sans. plt.savefig('training_history.png') E:\pycharm\study\计算机视觉\物品识别系统.py:314: UserWarning: Glyph 25439 (\N{CJK UNIFIED IDEOGRAPH-635F}) missing from font(s) DejaVu Sans. plt.savefig('training_history.png') E:\pycharm\study\计算机视觉\物品识别系统.py:314: UserWarning: Glyph 22833 (\N{CJK UNIFIED IDEOGRAPH-5931}) missing from font(s) DejaVu Sans. plt.savefig('training_history.png') 2025-06-22 18:59:48,905 - INFO - 训练历史图表已保存到 training_history.png 2025-06-22 18:59:49,390 - INFO - 模型已保存到: optimized_model.keras 2025-06-22 18:59:49,390 - INFO - 执行内存清理... WARNING:tensorflow:From E:\python3.9.13\lib\site-packages\keras\src\backend\common\global_state.py:82: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead. 2025-06-22 18:59:50,195 - WARNING - From E:\python3.9.13\lib\site-packages\keras\src\backend\common\global_state.py:82: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead. 2025-06-22 18:59:50,743 - INFO - 内存清理完成 E:\pycharm\study\计算机视觉\物品识别系统.py:355: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. ax2.set_xticklabels(self.class_labels, rotation=45) E:\pycharm\study\计算机视觉\物品识别系统.py:364: UserWarning: Glyph 39044 (\N{CJK UNIFIED IDEOGRAPH-9884}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:364: UserWarning: Glyph 27979 (\N{CJK UNIFIED IDEOGRAPH-6D4B}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:364: UserWarning: Glyph 27010 (\N{CJK UNIFIED IDEOGRAPH-6982}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:364: UserWarning: Glyph 29575 (\N{CJK UNIFIED IDEOGRAPH-7387}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:364: UserWarning: Glyph 31867 (\N{CJK UNIFIED IDEOGRAPH-7C7B}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:364: UserWarning: Glyph 21035 (\N{CJK UNIFIED IDEOGRAPH-522B}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:364: UserWarning: Glyph 20998 (\N{CJK UNIFIED IDEOGRAPH-5206}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:364: UserWarning: Glyph 24067 (\N{CJK UNIFIED IDEOGRAPH-5E03}) missing from font(s) DejaVu Sans. plt.tight_layout() E:\pycharm\study\计算机视觉\物品识别系统.py:365: UserWarning: Glyph 39044 (\N{CJK UNIFIED IDEOGRAPH-9884}) missing from font(s) DejaVu Sans. plt.savefig(output_path) E:\pycharm\study\计算机视觉\物品识别系统.py:365: UserWarning: Glyph 27979 (\N{CJK UNIFIED IDEOGRAPH-6D4B}) missing from font(s) DejaVu Sans. plt.savefig(output_path) E:\pycharm\study\计算机视觉\物品识别系统.py:365: UserWarning: Glyph 27010 (\N{CJK UNIFIED IDEOGRAPH-6982}) missing from font(s) DejaVu Sans. plt.savefig(output_path) E:\pycharm\study\计算机视觉\物品识别系统.py:365: UserWarning: Glyph 29575 (\N{CJK UNIFIED IDEOGRAPH-7387}) missing from font(s) DejaVu Sans. plt.savefig(output_path) E:\pycharm\study\计算机视觉\物品识别系统.py:365: UserWarning: Glyph 31867 (\N{CJK UNIFIED IDEOGRAPH-7C7B}) missing from font(s) DejaVu Sans. plt.savefig(output_path) E:\pycharm\study\计算机视觉\物品识别系统.py:365: UserWarning: Glyph 21035 (\N{CJK UNIFIED IDEOGRAPH-522B}) missing from font(s) DejaVu Sans. plt.savefig(output_path) E:\pycharm\study\计算机视觉\物品识别系统.py:365: UserWarning: Glyph 20998 (\N{CJK UNIFIED IDEOGRAPH-5206}) missing from font(s) DejaVu Sans. plt.savefig(output_path) E:\pycharm\study\计算机视觉\物品识别系统.py:365: UserWarning: Glyph 24067 (\N{CJK UNIFIED IDEOGRAPH-5E03}) missing from font(s) DejaVu Sans. plt.savefig(output_path) 2025-06-22 18:59:52,251 - INFO - 预测结果已保存到 prediction_result.png 2025-06-22 18:59:52,252 - INFO - 真实类别: cup
06-23
[root@controller ~]# tail -f /var/log/keystone/keystone.log 2025-03-04 00:04:10.596 12671 WARNING keystone.server.flask.application [req-1c53d976-a7a1-4f1e-87d9-79dcafb1c09d - - - - -] Authorization failed. The request you have made requires authentication. from 192.168.10.20: Unauthorized: The request you have made requires authentication. 2025-03-04 00:04:17.469 12670 WARNING keystone.server.flask.application [req-fd7fc80d-27e0-46e8-a3f7-1c9144c85c1c - - - - -] Authorization failed. The request you have made requires authentication. from 192.168.10.20: Unauthorized: The request you have made requires authentication. 2025-03-04 00:04:24.754 12667 WARNING keystone.server.flask.application [req-65436ff4-7a73-414b-94ac-1441bc602b5f - - - - -] Authorization failed. The request you have made requires authentication. from 192.168.10.20: Unauthorized: The request you have made requires authentication. 2025-03-04 00:04:32.011 12670 WARNING keystone.server.flask.application [req-4348f851-0448-4232-a46e-3b18bd87e86a - - - - -] Authorization failed. The request you have made requires authentication. from 192.168.10.20: Unauthorized: The request you have made requires authentication. 2025-03-04 00:04:39.006 12671 WARNING keystone.server.flask.application [req-40adc401-95ea-483b-b3a8-69de9bd7069f - - - - -] Authorization failed. The request you have made requires authentication. from 192.168.10.20: Unauthorized: The request you have made requires authentication. 2025-03-04 00:04:45.920 12670 WARNING keystone.server.flask.application [req-8a3f78af-1eb0-46d6-a556-4d33aec8aafd - - - - -] Authorization failed. The request you have made requires authentication. from 192.168.10.20: Unauthorized: The request you have made requires authentication. 2025-03-04 00:04:53.162 12667 WARNING keystone.server.flask.application [req-b313fefe-4b54-445c-bdb2-82201f9cec84 - - - - -] Authorization failed. The request you have made requires authentication. from 192.168.10.20: Unauthorized: The request you have made requires authentication. 2025-03-04 00:04:59.945 12671 WARNING keystone.server.flask.application [req-8af88323-e340-46a8-8738-b4a25b201c0b - - - - -] Authorization failed. The request you have made requires authentication. from 192.168.10.20: Unauthorized: The request you have made requires authentication. 2025-03-04 00:05:06.678 12669 WARNING keystone.server.flask.application [req-98ac090a-fe94-4222-b63e-436c1caf439f - - - - -] Authorization failed. The request you have made requires authentication. from 192.168.10.20: Unauthorized: The request you have made requires authentication. 2025-03-04 00:05:13.569 12668 WARNING keystone.server.flask.application [req-62c6f31a-1180-4d64-a1ce-62a0ee1ba03b - - - - -] Authorization failed. The request you have made requires authentication. from 192.168.10.20: Unauthorized: The request you have made requires authentication.
03-08
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