<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[rookiesx的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/rookiesx</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; rookiesx]]></copyright><item><title><![CDATA[Cursor 根据问题需求来给出改动方案并评估风险]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/158068483</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/158068483</guid><author>rookiesx</author><pubDate>Sat, 14 Feb 2026 11:30:25 +0800</pubDate><description><![CDATA[curosr 给出方案 并评估]]></description><category></category></item><item><title><![CDATA[人工智能训练师复习题目实操题 3.1.1 - 3.1.5]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/151078932</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/151078932</guid><author>rookiesx</author><pubDate>Mon, 01 Sep 2025 19:04:22 +0800</pubDate><description><![CDATA[文字题，优化方向和解决方案，调3-5个填写。一般减少响应时间，增加用户体验，丰富场景多样性，降低能耗，提升稳定性。本章节都是 数据分析题，通过Excel 创建数据透视表来分析数据。需要创建小时列，或者时段列 来辅助熟悉分析。]]></description><category></category></item><item><title><![CDATA[人工智能训练师复习题目实操题2.2.1 - 2.2.5]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/150847900</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/150847900</guid><author>rookiesx</author><pubDate>Sat, 30 Aug 2025 14:56:36 +0800</pubDate><description><![CDATA[特点：理想值没有绝对值，越搞越好，每类样本要足够，至少几十份，口诀：每类题目数量，太少要补齐。精确率，比如老师让你举手回答谁会这道题，在举手同学里，真正会做的比率就是精确率，如果你乱举手，结果不会做的举手，精确率就低。特点：理想值1，口诀：报的对不对，越高越好，常见问题，误报多，精确率低，改进：提高阈值，优化模型。特点：理想值1，口诀：找的对不对，越高越好。特点理想值=1，口诀越接近1 越好，常见问题，模型没学会，改进加特征，换模型。特点：理想值0，误差大，分数高=错的离谱，改进 查异常，加特征，换模型。]]></description><category></category></item><item><title><![CDATA[人工智能训练师复习题目实操题2.1.1 - 2.1.5]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/150703990</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/150703990</guid><author>rookiesx</author><pubDate>Sun, 24 Aug 2025 17:24:49 +0800</pubDate><description><![CDATA[pd.to_numeric(data['分数'],erros='coerce') 处理异常值，空值->null。X_train 用来训练的数据，也就是用来 教模型的那部分输入数据。pd.concat([df1,df2],axis=1)拼接表格按列。X_test 用来测试数据的，也就是用来 考模型那部分输入数据。y_test 测试用哟过来预测答案，也就是来 考模型正确答案。y_train 训练中用来预测的答案，也就是教模型正确答案。y 需要预测的答案，也就是我们最重要预测的结果。画散点图，x轴，y轴。]]></description><category></category></item><item><title><![CDATA[人工智能训练师复习题目实操题 3.2.1 - 3.2.5]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/150701682</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/150701682</guid><author>rookiesx</author><pubDate>Sun, 24 Aug 2025 15:44:19 +0800</pubDate><description><![CDATA[{session.get_inputs()[0].name: process_image} 输入数据。2.分类任务，scipy.special.softmax(output,axis=1)分数转换概率。1.预测类别，np.argmax(output)给每个类别打分，找到最大分数编号。np.expand_dims(image_array,axis=0) 增加维度。session.run(None,ort_inputs) 执行模型。(1,3,28,28) 图片维度，batch，彩色3，高，宽。]]></description><category></category></item><item><title><![CDATA[人工智能训练师复习题目实操题1.2.1 - 1.2.5]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/150466510</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/150466510</guid><author>rookiesx</author><pubDate>Sun, 17 Aug 2025 14:29:21 +0800</pubDate><description><![CDATA[建立多远数据融合机制：整合来自不同去到的数据元，建立统一的数据标准和格式规范，确保数据的一致性和完整性，实现数据有效的融合。简化操作流程：重新设计用户操作流程，减少操作步骤，优化交互逻辑，增加用户引导功能，显著降低用户学习成本，具体包括：收集用户数据，构建用户画像模型，开发个性化算法，建立动态调整机制，实现智能推荐功能。具体包括：才用分布式计算架构，优化算法模型，引入缓存机制，建立负载均衡，实现并行处理能力。具体把阔：用户需求调研，优化界面设计，简化操作流程，增加用户引导功能，建立用户反馈机制。]]></description><category></category></item><item><title><![CDATA[人工智能训练师复习题目实操题1.1.1 - 1.1.5]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/150462394</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/150462394</guid><author>rookiesx</author><pubDate>Sun, 17 Aug 2025 11:21:27 +0800</pubDate><description><![CDATA[写法2，gender_stats = data.groupby('Gender').agg({'Speed':'mean','TravelDistance':'mean','TravelTime':'mean'})(data['BMIRange'])['RiskLevel'].apply(lambda x: (x == '高风险患者').mean())data.groupby(data['需要计算的源数据列名'])['过滤条件的列名']2. groupby().agg(['数组元素A','数组元素B'])]]></description><category></category></item><item><title><![CDATA[安装本地python文件到site-packages]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/149646839</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/149646839</guid><author>rookiesx</author><pubDate>Fri, 25 Jul 2025 19:05:32 +0800</pubDate><description><![CDATA[py_modules=["x"],          # 指定要安装的 .py 文件。name="x",                  # 模块名。2. 将目录切换到根目录 运行pip install .在 tools目录下运行pip install .1. 在项目根目录创建setup.py。]]></description><category></category></item><item><title><![CDATA[记录一次Java 8 list NPE 处理Optional.ofNullable]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/146982116</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/146982116</guid><author>rookiesx</author><pubDate>Thu, 03 Apr 2025 15:31:10 +0800</pubDate><description><![CDATA[源代码在没有Optional.ofNullable(list).orElse(Collections.emptyList())保护下，在多层嵌套list forEach 时出现了NullPoint Exception。]]></description><category></category></item><item><title><![CDATA[AWS sdk for s3 - S3 client]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/144394889</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/144394889</guid><author>rookiesx</author><pubDate>Wed, 11 Dec 2024 11:09:26 +0800</pubDate><description><![CDATA[在产品环境上通过 http 的方式访问 aws s3 是不安全的，需要使用aws sdk 提供的接口来访问。]]></description><category></category></item><item><title><![CDATA[springboot jenkins job error console log]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/144394661</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/144394661</guid><author>rookiesx</author><pubDate>Wed, 11 Dec 2024 10:54:23 +0800</pubDate><description><![CDATA[automation test springboot 测试服务 接口返回的 内容是封装过的jenkins job 只是通过python request 去发送测试请求去测试jenkins console 里只会有该http 接口response 的 返回信息比如。]]></description><category></category></item><item><title><![CDATA[Linux 工作脚本记录]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/136915895</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/136915895</guid><author>rookiesx</author><pubDate>Fri, 22 Mar 2024 10:17:46 +0800</pubDate><description><![CDATA[过滤出所有"departure_battery": 和 "consumption": 后面内容。#Linux 查找log#]]></description><category></category></item><item><title><![CDATA[测试用例面试]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/132491019</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/132491019</guid><author>rookiesx</author><pubDate>Fri, 25 Aug 2023 11:48:38 +0800</pubDate><description><![CDATA[形式 | 章节 ||知识点|测试用例价值与体系||  | 黑盒方法-等价类 ||  |边界类  ||  |判定表  ||  |场景法  ||  |测试用例基础概念  ||  |测试用例设计评审  ||  |面试测试用例设计  |]]></description><category></category></item><item><title><![CDATA[pytorch 安装]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/131335960</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/131335960</guid><author>rookiesx</author><pubDate>Thu, 22 Jun 2023 00:35:51 +0800</pubDate><description><![CDATA[3.pytorch 需要对应python 和 cu 版本进行下载。python 32位和 pytorch 64位冲突。2.python 国内下载地址。]]></description><category></category></item><item><title><![CDATA[Jmeter maven plugin 踩坑记录]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/129167394</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/129167394</guid><author>rookiesx</author><pubDate>Wed, 22 Feb 2023 17:52:23 +0800</pubDate><description><![CDATA[jmeter maven plugin experience]]></description><category></category></item><item><title><![CDATA[nginx 入门]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/128749429</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/128749429</guid><author>rookiesx</author><pubDate>Sun, 22 Jan 2023 16:53:52 +0800</pubDate><description><![CDATA[nginx 入门]]></description><category></category></item><item><title><![CDATA[重装系统到固态]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/128738368</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/128738368</guid><author>rookiesx</author><pubDate>Thu, 19 Jan 2023 22:01:20 +0800</pubDate><description><![CDATA[装机到固态]]></description><category></category></item><item><title><![CDATA[宏基vn7-591g 固态硬盘安装]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/128737861</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/128737861</guid><author>rookiesx</author><pubDate>Thu, 19 Jan 2023 20:48:48 +0800</pubDate><description><![CDATA[固态]]></description><category></category></item><item><title><![CDATA[go import package 入门lib1 is not in GOROOT]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/128664151</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/128664151</guid><author>rookiesx</author><pubDate>Thu, 12 Jan 2023 17:59:59 +0800</pubDate><description><![CDATA[go 入门]]></description><category></category></item><item><title><![CDATA[RSA host key for [..abc.com]:7990 has changed and you have requested strict checking]]></title><link>https://blog.youkuaiyun.com/rookiesx/article/details/127672165</link><guid>https://blog.youkuaiyun.com/rookiesx/article/details/127672165</guid><author>rookiesx</author><pubDate>Thu, 03 Nov 2022 15:57:19 +0800</pubDate><description><![CDATA[git clone ssh error]]></description><category></category></item></channel></rss>