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View Code? Open in Web Editor NEWsome machine learning examples
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whaozl xiuweihe shunfengdai swearos sosoivy koonzhao pastqing lambda70v hit-jiang ludi1991 carina28 yk1007 atmomomo kuailephoebe dongminaug formyv calm2016 vtolatoo bineanfrank spyton allenwang616 tenround xiaochengcike unicoe baiheyuanyi zluckyhou mechcd sjtuzhangxiao zhangyang5511 donadonny abcwangxiang lemon922 keyman9848 loafyuhang hgh2017 gitubzjd haokun-li aiyodiulehuner mwshang adtis-lishiwen poppingcode pu17 moon510 qingwang12138 3115826227 hustpython johnlovewealth agsder kqqinging damianmi ysm022 redsword1987 glucin ddl0 zhmi1204 seuxiaozhangyu caicaihong dontknowagrn qzyun jinwenabc wxwxzhang qiuanbo justanewbiec aladinglamp jxy9 zzygyx9119 ceasona lchchao yang-yajie adambear-me damion2017 fengyanwang selenitic xylona hiwxc shenzhiping12 rickyhuw freecca madao0 zzndream ljsdut zwleagle wzx1998 profiket libin1001 xingboyang winggyn2019 tzqhaha mmdestone 04sky star31448 dina-ping lebronjames shanyonggang lilyli8804 55jiafeimao pusstang shangzhaoxiaozi zlpmichelle hiykyml-examples's Issues
logistic regression的dataset对新手太不友好了……
直接用minimize跑还行，要是用朴素的递归下降很难跑出又快又好的结果。要么learning rate太大，导致无法收敛，要么得跑个十万次才能收敛到能接受的结果（还是实现了变长learning rate的前提下）
一度以为我代码有问题……
welcome to add the badge
运行代码出现错误
运行到这句试报错：res2 = minimize(costFunctionReg, initial_theta, args=(C, XX, y), jac=gradientReg, options={'maxiter':3000})
错误：ValueError: all the input arrays must have same number of dimensions
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