大约有 1,100 项符合查询结果(耗时:0.0175秒) [XML]
【原因】Al伴侣出现错误: invoke: no method named Theme' in class edu.mi...
...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】Error 701: Unable to load xxx.xxx - App Inventor 2 中文网 - 清泛IT社区,为创新赋能!
...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...
搭建高可用mongodb集群(一)——配置mongodb - 大数据 & AI - 清泛网 - 专...
...成功!
[initandlisten] db version v2.4.6
……..
[initandlisten] waiting for connections on port 27017
[websvr] admin web console waiting for connections on port 28017
mongodb默认自带提供了web访问接口,通过 IP + 端口的形式可以访问。
http://192.168.0.1:28017/
二...
如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注IT技能提升
...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...
如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注IT技能提升
...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...
如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注IT技能提升
...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...
如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注IT技能提升
...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...
如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注IT技能提升
...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...
如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注IT技能提升
...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...
如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注IT技能提升
...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...
