...缩进啥的都是按照代码块的逻辑一一生成的，一点都没有AI风，因为它是转换生成，绝非AI生成。 稍做改动（调用一下函数，并打印），就能准确运行出结果，如下： 最后，谈谈自己的一些感悟： 1、AI时代的生产力：核...

...出现错误: invoke: no method named Theme' in class edu.mit.appinventor.aicompanion3.Screen1 原因：aiStarter中AI伴侣版本 或者 其他任何途径中的AI伴侣版本过低导致的。 解决：升级到最新的AI伴侣即可。 升级可参考：https://www.fun123.cn/reference...

...解决】：连接菜单 -> 重置连接。然后再重新连接一次AI伴侣进行测试，就能解决。 【原理】：在AI伴侣已经连接好之后，访问才刚上传的某资源，就会报这个错误。因为资源不会自动同步到AI伴侣，它必须在AI伴侣连接的时候...

...得这些年用着还不错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfi...

...得这些年用着还不错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfi...

...得这些年用着还不错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfi...

...得这些年用着还不错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfi...

...得这些年用着还不错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfi...

...得这些年用着还不错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfi...

...得这些年用着还不错的常规指南。 How large is your training set? 训练集有多大？ If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfi...