使用Python实现彩票AI预测分析系统
github链接地址：https://github.com/zepen/predict_Lottery_ticket
第一步，linux环境安装anaconda
1. 安装Anaconda(参考https://zhuanlan.zhihu.com/p/32925500)
下载anaconda的安装包
wget https://repo.anaconda.com/archive/Anaconda3-5.3.0-Linux-x86_64.sh
chmod +x Anaconda3-5.3.0-Linux-x86_64.sh
./Anaconda3-5.3.0-Linux-x86_64.sh
点击Enter（回车键）
此时显示Anaconda的信息，并且会出现More，继续按Enter
输入 yes
继续点击 Enter
输入 yes，添加环境变量
完成安装以及检测是否安装成功
打开新的终端后，进入自己的文件夹目录下，输入anaconda -V 显示版本信息，若显示则表示安装成功。
(pytorch) [root@localhost predict_Lottery_ticket]# conda -V
conda 4.5.11
第二步，创建一个conda环境
2.1 下载github项目包
git clone https://github.com/zepen/predict_Lottery_ticket.git
2.2 创建虚拟环境
conda create -n pytorch python=3.7;
2.3 激活环境
conda activate pytorch
2.4 检测环境是否安装好
(pytorch) [root@localhost predict_Lottery_ticket]# conda info --envs
conda environments:
base /root/anaconda3
pytorch * /root/anaconda3/envs/pytorch
出现下面所示：
base /root/anaconda3
pytorch * /root/anaconda3/envs/pytorch
退出之后如何查看自己安装的环境
如果在一台服务器上安装多个环境，一下子可能不记得需要激活哪个环境名称，这时候我们需要使用下面这个命令来查找：
conda info --envs
(pytorch) [root@localhost predict_Lottery_ticket]# conda info --envs
conda environments:
base /root/anaconda3
pytorch * /root/anaconda3/envs/pytorch
解决Anaconda出现CondaHTTPError: HTTP 000 CONNECTION FAILED for url问题
1.问题描述：conda无法创建虚拟环境并且无法安装其他第三方包，报错内容如下
2.错误原因：默认镜像源访问速度过慢，会导致超时从而导致更新和下载失败。
3.解决方案：更换镜像源为清华镜像源，并且删除默认镜像源。
3.1.首先执行如下几条命令更换清华镜像源
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ conda config --set show_channel_urls yes复制
3.2.更改镜像源配置文件
在用户根目录（/root/.condarc）下找到.condarc文件，打开并并编辑，删除其中的default配置行。
vim /root/.condarc
channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
- defaults
show_channel_urls: true
#删除defaults项或者注释掉defaults
4.重新创建虚拟环境
再进入第二步2.1执行下面命令
conda create -n pytorch python=3.7;
第三步，安装系统组件
进入创建conda的环境 conda activate pytorch，然后执行 pip install -r requirements.txt;
(pytorch) [root@localhost predict_Lottery_ticket]# pwd
/root/predict_Lottery_ticket
(pytorch) [root@localhost predict_Lottery_ticket]# ls
config.py data get_data.py img model modeling.py pycache README.md requirements.txt run_predict.py run_train_model.py
(pytorch) [root@localhost predict_Lottery_ticket]# pip install -r /root/predict_Lottery_ticket/requirements.txt;
第四步，获取数据，训练模型，预测模型
4.1 执行获取双色球训练数据
python get_data.py --name ssq # 执行获取双色球训练数据
python get_data.py --name dlt # 执行获取大乐透训练数据
如果出现解析错误，应该看看网页 http://datachart.500.com/ssq/history/newinc/history.php 是否可以正常访问
4.2 执行训练双色球模型
python run_train_model.py --name ssq # 执行训练双色球模型
python run_train_model.py --name dlt # 执行训练大乐透模型
开始模型训练，先训练红球模型，再训练蓝球模型，模型参数和超参数在 config.py 文件中自行配置 具体训练时间消耗与模型参数和超参数相关。
4.3 执行双色球模型预测
python run_predict.py --name ssq # 执行双色球模型预测
python run_predict.py --name dlt # 执行大乐透模型预测
预测结果会打印在控制台
4.4 执行日志
双色球日志如下：
[root@localhost ~]# conda activate pytorch
(pytorch) [root@localhost ~]# conda deactivate^C
(pytorch) [root@localhost ~]# cd /root/predict_Lottery_ticket
(pytorch) [root@localhost predict_Lottery_ticket]# ls
config.py data get_data.py img model modeling.py pycache README.md requirements.txt run_predict.py run_train_model.py
(pytorch) [root@localhost predict_Lottery_ticket]# python get_data.py --name ssq
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:12:43.675 | INFO | main:run:86 - 【双色球】最新一期期号：24085
2024-07-29 03:12:43.675 | INFO | main:run:87 - 正在获取【双色球】数据。。。
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:12:51.227 | INFO | main:run:92 - 【双色球】数据准备就绪，共3180期, 下一步可训练模型…
(pytorch) [root@localhost predict_Lottery_ticket]# python run_predict.py --name ssq
2024-07-29 03:14:56.057 | INFO | main:load_model:33 - 已加载红球模型！
2024-07-29 03:14:57.534 | INFO | main:load_model:42 - 已加载蓝球模型！
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:14:58.020 | INFO | main:load_model:49 - 【双色球】最近一期:24085
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:15:03.751 | INFO | main:run:182 - 【双色球】预测期号：24086
2024-07-29 03:15:05.083 | INFO | main:run:185 - 预测结果：{‘红球_1’: 1, ‘红球_2’: 8, ‘红球_3’: 13, ‘红球_4’: 23, ‘红球_5’: 24, ‘红球_6’: 32, ‘蓝球’: 12}
(pytorch) [root@localhost predict_Lottery_ticket]# python run_predict.py --name dlt
2024-07-29 03:15:19.880 | INFO | main:load_model:59 - 已加载红球模型！
2024-07-29 03:15:21.667 | INFO | main:load_model:68 - 已加载蓝球模型！
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:15:22.216 | INFO | main:load_model:75 - 【大乐透】最近一期:24086
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:15:26.686 | INFO | main:run:182 - 【大乐透】预测期号：24087
2024-07-29 03:15:27.730 | INFO | main:run:185 - 预测结果：{‘红球_1’: 2, ‘红球_2’: 13, ‘红球_3’: 18, ‘红球_4’: 29, ‘红球_5’: 35, ‘蓝球_1’: 1, ‘蓝球_2’: 8}
(pytorch) [root@localhost predict_Lottery_ticket]# python run_predict.py --name ssq
2024-07-29 03:16:25.403 | INFO | main:load_model:33 - 已加载红球模型！
2024-07-29 03:16:26.568 | INFO | main:load_model:42 - 已加载蓝球模型！
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:16:27.146 | INFO | main:load_model:49 - 【双色球】最近一期:24085
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:16:32.364 | INFO | main:run:182 - 【双色球】预测期号：24086
2024-07-29 03:16:33.368 | INFO | main:run:185 - 预测结果：{‘红球_1’: 1, ‘红球_2’: 8, ‘红球_3’: 13, ‘红球_4’: 23, ‘红球_5’: 24, ‘红球_6’: 32, ‘蓝球’: 12}
大乐透日志：
(pytorch) [root@localhost predict_Lottery_ticket]# python get_data.py --name dlt
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:18:02.532 | INFO | main:run:86 - 【大乐透】最新一期期号：24086
2024-07-29 03:18:02.532 | INFO | main:run:87 - 正在获取【大乐透】数据。。。
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:18:06.562 | INFO | main:run:92 - 【大乐透】数据准备就绪，共2602期, 下一步可训练模型…
(pytorch) [root@localhost predict_Lottery_ticket]# python run_train_model.py --name dlt
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/tensorflow_addons/utils/ensure_tf_install.py:68: UserWarning: Tensorflow Addons supports using Python ops for all Tensorflow versions above or equal to 2.2.0 and strictly below 2.3.0 (nightly versions are not supported).
The versions of TensorFlow you are currently using is 2.6.1 and is not supported.
Some things might work, some things might not.
If you were to encounter a bug, do not file an issue.
If you want to make sure you’re using a tested and supported configuration, either change the TensorFlow version or the TensorFlow Addons’s version.
You can find the compatibility matrix in TensorFlow Addon’s readme:
https://github.com/tensorflow/addons
UserWarning,
2024-07-29 03:18:23.533 | INFO | main:run:286 - 正在创建【大乐透】训练集和测试集…
2024-07-29 03:18:23.545 | INFO | main:create_train_test_data:62 - read data from path: data/dlt/data.csv
2024-07-29 03:18:23.546 | INFO | main:create_data:35 - 训练数据已加载!
2024-07-29 03:18:23.548 | INFO | main:create_data:38 - 训练集数据维度: (1821, 7)
2024-07-29 03:18:23.562 | INFO | main:create_data:35 - 训练数据已加载!
2024-07-29 03:18:23.563 | INFO | main:create_data:38 - 训练集数据维度: (781, 7)
2024-07-29 03:18:23.568 | INFO | main:create_train_test_data:66 - train_data sample rate = 0.7, test_data sample rate = 0.3
2024-07-29 03:18:23.569 | INFO | main:run:290 - 开始训练【大乐透】红球模型…
2024-07-29 03:18:23.571 | INFO | main:train_with_eval_red_ball_model:76 - 训练特征数据维度: (1817, 3, 5)
2024-07-29 03:18:23.572 | INFO | main:train_with_eval_red_ball_model:77 - 训练标签数据维度: (1817, 5)
2024-07-29 03:18:23.573 | INFO | main:train_with_eval_red_ball_model:82 - 测试特征数据维度: (777, 3, 5)
2024-07-29 03:18:23.573 | INFO | main:train_with_eval_red_ball_model:83 - 测试标签数据维度: (777, 5)
2024-07-29 03:18:41.682354: W tensorflow/c/c_api.cc:335] Operation ‘{name:‘lstm_4/while’ id:1279 op device:{requested: ‘’, assigned: ‘’} def:{{{node lstm_4/while}} = While[T=[DT_INT32, DT_INT32, DT_INT32, DT_VARIANT, DT_FLOAT, DT_FLOAT, DT_INT32, DT_VARIANT, DT_RESOURCE, DT_RESOURCE, DT_RESOURCE, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT], _lower_using_switch_merge=true, _num_original_outputs=44, _read_only_resource_inputs=[8, 9, 10], _stateful_parallelism=false, body=lstm_4_while_body_1950[], cond=lstm_4_while_cond_1949[], output_shapes=[[], [], [], [], [1,32], [1,32], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], []], parallel_iterations=32](lstm_4/while/loop_counter, lstm_4/while/maximum_iterations, lstm_4/time, lstm_4/TensorArrayV2_1, lstm_4/zeros, lstm_4/zeros_1, lstm_4/strided_slice_1, lstm_4/TensorArrayUnstack/TensorListFromTensor, lstm_4/lstm_cell_4/kernel, lstm_4/lstm_cell_4/recurrent_kernel, lstm_4/lstm_cell_4/bias, lstm_4/while/EmptyTensorList, lstm_4/while/EmptyTensorList_1, lstm_4/while/EmptyTensorList_2, lstm_4/while/EmptyTensorList_3, lstm_4/while/EmptyTensorList_4, lstm_4/while/EmptyTensorList_5, lstm_4/while/EmptyTensorList_6, lstm_4/while/EmptyTensorList_7, lstm_4/while/EmptyTensorList_8, lstm_4/while/EmptyTensorList_9, lstm_4/while/EmptyTensorList_10, lstm_4/while/EmptyTensorList_11, lstm_4/while/EmptyTensorList_12, lstm_4/while/EmptyTensorList_13, lstm_4/while/EmptyTensorList_14, lstm_4/while/EmptyTensorList_15, lstm_4/while/EmptyTensorList_16, lstm_4/while/EmptyTensorList_17, lstm_4/while/EmptyTensorList_18, lstm_4/while/EmptyTensorList_19, lstm_4/while/EmptyTensorList_20, lstm_4/while/EmptyTensorList_21, lstm_4/while/EmptyTensorList_22, lstm_4/while/EmptyTensorList_23, lstm_4/while/EmptyTensorList_24, lstm_4/while/EmptyTensorList_25, lstm_4/while/EmptyTensorList_26, lstm_4/while/EmptyTensorList_27, lstm_4/while/EmptyTensorList_28, lstm_4/while/EmptyTensorList_29, lstm_4/while/EmptyTensorList_30, lstm_4/while/EmptyTensorList_31, lstm_4/while/EmptyTensorList_32)}}’ was changed by setting attribute after it was run by a session. This mutation will have no effect, and will trigger an error in the future. Either don’t modify nodes after running them or create a new session.
2024-07-29 03:18:48.323 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 17.7584285736084, tag: [11 12 14 22 28], pred: [10 10 13 32 27]
2024-07-29 03:18:50.936 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 17.913009643554688, tag: [13 23 27 30 34], pred: [ 9 11 12 27 27]
2024-07-29 03:18:53.604 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 15.938312530517578, tag: [ 1 13 22 26 31], pred: [ 2 3 13 32 32]
2024-07-29 03:18:56.457 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 14.765726089477539, tag: [ 4 10 21 28 31], pred: [ 2 5 16 25 30]
2024-07-29 03:18:59.655 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 15.695707321166992, tag: [ 8 12 19 27 33], pred: [ 2 5 16 25 35]
2024-07-29 03:19:02.173 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 14.072078704833984, tag: [ 8 17 25 28 33], pred: [ 2 9 17 29 35]
2024-07-29 03:19:04.755 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 15.115764617919922, tag: [ 1 22 30 31 32], pred: [ 2 9 12 26 35]
2024-07-29 03:19:07.210 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 14.414752960205078, tag: [ 6 15 17 22 25], pred: [ 3 11 12 26 35]
2024-07-29 03:19:09.604 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 11.696393966674805, tag: [ 1 8 16 27 34], pred: [ 1 8 15 26 35]
2024-07-29 03:19:12.213 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 13.275225639343262, tag: [ 3 9 12 28 30], pred: [ 1 12 16 28 34]
2024-07-29 03:19:14.798 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 15.303353309631348, tag: [ 2 15 18 21 22], pred: [ 1 12 16 28 34]
2024-07-29 03:19:16.990 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 13.478419303894043, tag: [ 8 17 25 33 34], pred: [ 1 7 18 29 35]
2024-07-29 03:19:19.499 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 13.626537322998047, tag: [ 6 7 18 21 33], pred: [ 1 6 22 28 34]
2024-07-29 03:19:21.727 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 13.994640350341797, tag: [ 1 2 6 15 35], pred: [ 1 8 17 29 35]
2024-07-29 03:19:23.821 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 13.268533706665039, tag: [ 4 8 15 18 26], pred: [ 1 7 19 31 33]
2024-07-29 03:19:25.771 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 13.450690269470215, tag: [ 7 13 20 25 26], pred: [ 2 14 15 26 35]
2024-07-29 03:19:27.828 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 13.696395874023438, tag: [ 5 15 18 25 31], pred: [ 1 7 18 29 35]
2024-07-29 03:19:30.435 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 12.901147842407227, tag: [ 3 13 14 15 34], pred: [ 3 7 18 29 35]
2024-07-29 03:19:32.616 | INFO | main:train_with_eval_red_ball_model:120 - epoch: 0, loss: 12.964502334594727, tag: [ 6 9 22 27 30], pred: [ 1 7 18 29 35]
2024-07-29 03:19:32.939 | INFO | main:train_with_eval_red_ball_model:122 - 训练耗时: 69.3655173778534
WARNING:tensorflow:Issue encountered when serializing variables.
Type is unsupported, or the types of the items don’t match field type in CollectionDef. Note this is a warning and probably safe to ignore.
‘transitions’ has type str, but expected one of: int, long, bool
WARNING:tensorflow:Issue encountered when serializing trainable_variables.
Type is unsupported, or the types of the items don’t match field type in CollectionDef. Note this is a warning and probably safe to ignore.
‘transitions’ has type str, but expected one of: int, long, bool
2024-07-29 03:19:34.888 | INFO | main:train_with_eval_red_ball_model:128 - 模型评估【大乐透】…
2024-07-29 03:19:39.459 | INFO | main:train_with_eval_red_ball_model:144 - 测试期数: 777
2024-07-29 03:19:39.460 | INFO | main:train_with_eval_red_ball_model:146 - 命中1个球，198期，占比: 25.48%
2024-07-29 03:19:39.460 | INFO | main:train_with_eval_red_ball_model:146 - 命中0个球，556期，占比: 71.56%
2024-07-29 03:19:39.461 | INFO | main:train_with_eval_red_ball_model:146 - 命中2个球，21期，占比: 2.7%
2024-07-29 03:19:39.461 | INFO | main:train_with_eval_red_ball_model:146 - 命中3个球，2期，占比: 0.26%
2024-07-29 03:19:39.462 | INFO | main:train_with_eval_red_ball_model:149 - 整体准确率: 6.33%
2024-07-29 03:19:39.591 | INFO | main:run:299 - 开始训练【大乐透】蓝球模型…
2024-07-29 03:19:39.593 | INFO | main:train_with_eval_blue_ball_model:164 - 训练特征数据维度: (1817, 3, 2)
2024-07-29 03:19:39.593 | INFO | main:train_with_eval_blue_ball_model:165 - 训练标签数据维度: (1817, 2)
2024-07-29 03:19:39.593 | INFO | main:train_with_eval_blue_ball_model:174 - 训练特征数据维度: (777, 3, 2)
2024-07-29 03:19:39.594 | INFO | main:train_with_eval_blue_ball_model:175 - 训练标签数据维度: (777, 2)
2024-07-29 03:19:51.154405: W tensorflow/c/c_api.cc:335] Operation ‘{name:‘lstm_1/while’ id:490 op device:{requested: ‘’, assigned: ‘’} def:{{{node lstm_1/while}} = While[T=[DT_INT32, DT_INT32, DT_INT32, DT_VARIANT, DT_FLOAT, DT_FLOAT, DT_INT32, DT_VARIANT, DT_RESOURCE, DT_RESOURCE, DT_RESOURCE, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT, DT_VARIANT], _lower_using_switch_merge=true, _num_original_outputs=44, _read_only_resource_inputs=[8, 9, 10], _stateful_parallelism=false, body=lstm_1_while_body_9356[], cond=lstm_1_while_cond_9355[], output_shapes=[[], [], [], [], [1,32], [1,32], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], []], parallel_iterations=32](lstm_1/while/loop_counter, lstm_1/while/maximum_iterations, lstm_1/time, lstm_1/TensorArrayV2_1, lstm_1/zeros, lstm_1/zeros_1, lstm_1/strided_slice_1, lstm_1/TensorArrayUnstack/TensorListFromTensor, lstm_1/lstm_cell_1/kernel, lstm_1/lstm_cell_1/recurrent_kernel, lstm_1/lstm_cell_1/bias, lstm_1/while/EmptyTensorList, lstm_1/while/EmptyTensorList_1, lstm_1/while/EmptyTensorList_2, lstm_1/while/EmptyTensorList_3, lstm_1/while/EmptyTensorList_4, lstm_1/while/EmptyTensorList_5, lstm_1/while/EmptyTensorList_6, lstm_1/while/EmptyTensorList_7, lstm_1/while/EmptyTensorList_8, lstm_1/while/EmptyTensorList_9, lstm_1/while/EmptyTensorList_10, lstm_1/while/EmptyTensorList_11, lstm_1/while/EmptyTensorList_12, lstm_1/while/EmptyTensorList_13, lstm_1/while/EmptyTensorList_14, lstm_1/while/EmptyTensorList_15, lstm_1/while/EmptyTensorList_16, lstm_1/while/EmptyTensorList_17, lstm_1/while/EmptyTensorList_18, lstm_1/while/EmptyTensorList_19, lstm_1/while/EmptyTensorList_20, lstm_1/while/EmptyTensorList_21, lstm_1/while/EmptyTensorList_22, lstm_1/while/EmptyTensorList_23, lstm_1/while/EmptyTensorList_24, lstm_1/while/EmptyTensorList_25, lstm_1/while/EmptyTensorList_26, lstm_1/while/EmptyTensorList_27, lstm_1/while/EmptyTensorList_28, lstm_1/while/EmptyTensorList_29, lstm_1/while/EmptyTensorList_30, lstm_1/while/EmptyTensorList_31, lstm_1/while/EmptyTensorList_32)}}’ was changed by setting attribute after it was run by a session. This mutation will have no effect, and will trigger an error in the future. Either don’t modify nodes after running them or create a new session.
2024-07-29 03:19:54.040 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.8200154304504395, tag: [ 7 11], pred: [12 1]
2024-07-29 03:19:55.137 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.49452543258667, tag: [6 9], pred: [6 9]
2024-07-29 03:19:56.383 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.340031623840332, tag: [ 2 10], pred: [ 3 12]
2024-07-29 03:19:57.597 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 5.145925521850586, tag: [ 8 11], pred: [ 3 12]
2024-07-29 03:19:58.780 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.907222270965576, tag: [2 5], pred: [ 3 12]
2024-07-29 03:20:00.018 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 3.993936538696289, tag: [ 7 11], pred: [ 1 11]
2024-07-29 03:20:01.376 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 3.692086696624756, tag: [ 4 12], pred: [4 7]
2024-07-29 03:20:02.653 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.21968936920166, tag: [1 9], pred: [3 7]
2024-07-29 03:20:03.822 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 3.2645177841186523, tag: [ 3 12], pred: [ 3 12]
2024-07-29 03:20:04.898 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.160228252410889, tag: [ 4 12], pred: [ 1 11]
2024-07-29 03:20:05.904 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.087007522583008, tag: [ 3 10], pred: [ 3 12]
2024-07-29 03:20:06.923 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.246039390563965, tag: [ 3 11], pred: [ 2 12]
2024-07-29 03:20:07.957 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.684072494506836, tag: [3 8], pred: [ 3 12]
2024-07-29 03:20:09.007 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.065952301025391, tag: [4 7], pred: [ 2 12]
2024-07-29 03:20:09.975 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.210870742797852, tag: [5 9], pred: [ 3 12]
2024-07-29 03:20:10.933 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.65884256362915, tag: [ 8 11], pred: [ 5 10]
2024-07-29 03:20:11.924 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.870649814605713, tag: [ 8 10], pred: [ 3 12]
2024-07-29 03:20:13.059 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.450031280517578, tag: [5 8], pred: [ 3 12]
2024-07-29 03:20:14.807 | INFO | main:train_with_eval_blue_ball_model:234 - epoch: 0, loss: 4.452560901641846, tag: [ 8 12], pred: [ 1 11]
2024-07-29 03:20:15.115 | INFO | main:train_with_eval_blue_ball_model:236 - 训练耗时: 35.521620988845825
WARNING:tensorflow:Issue encountered when serializing variables.
Type is unsupported, or the types of the items don’t match field type in CollectionDef. Note this is a warning and probably safe to ignore.
‘transitions’ has type str, but expected one of: int, long, bool
WARNING:tensorflow:Issue encountered when serializing trainable_variables.
Type is unsupported, or the types of the items don’t match field type in CollectionDef. Note this is a warning and probably safe to ignore.
‘transitions’ has type str, but expected one of: int, long, bool
2024-07-29 03:20:17.336 | INFO | main:train_with_eval_blue_ball_model:242 - 模型评估【大乐透】…
2024-07-29 03:20:21.032 | INFO | main:train_with_eval_blue_ball_model:263 - 测试期数: 777
2024-07-29 03:20:21.032 | INFO | main:train_with_eval_blue_ball_model:265 - 命中0个球，562期，占比: 72.33%
2024-07-29 03:20:21.032 | INFO | main:train_with_eval_blue_ball_model:265 - 命中1个球，207期，占比: 26.64%
2024-07-29 03:20:21.032 | INFO | main:train_with_eval_blue_ball_model:265 - 命中2个球，8期，占比: 1.03%
2024-07-29 03:20:21.033 | INFO | main:train_with_eval_blue_ball_model:275 - 整体准确率: 14.35%
(pytorch) [root@localhost predict_Lottery_ticket]# python run_predict.py --name dlt
2024-07-29 03:21:27.372 | INFO | main:load_model:59 - 已加载红球模型！
2024-07-29 03:21:28.741 | INFO | main:load_model:68 - 已加载蓝球模型！
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:21:29.258 | INFO | main:load_model:75 - 【大乐透】最近一期:24086
/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/urllib3/connectionpool.py:988: InsecureRequestWarning: Unverified HTTPS request is being made to host ‘datachart.500.com’. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
InsecureRequestWarning,
2024-07-29 03:21:32.561 | INFO | main:run:182 - 【大乐透】预测期号：24087
2024-07-29 03:21:33.297 | INFO | main:run:185 - 预测结果：{‘红球_1’: 2, ‘红球_2’: 5, ‘红球_3’: 18, ‘红球_4’: 29, ‘红球_5’: 35, ‘蓝球_1’: 1, ‘蓝球_2’: 11}
