yto

apply to 后接人，向谁申请,所以不是doing也不是doapply for后接事情职位

歌曲名:Happy Now歌手:Clayton Lee专辑:Clayton LeeAre You Happy NowNowDon"t just walk awayPretending everythings okay and you don"t care about meAnd I know it"s just no useWhen all your lies become your truths and I don"t care yeah~Could you look me in the eyeAnd tell me that you"re happy nowWould you tell it to my faceOr have I been erasedAre you happy nowAre you happy nowYou took all there was to takeAnd left me with an empty plateAnd you don"t care about itYeahAnd I am giving up this gameAnd leaving you with all the blameCause I don"t care yeah~Could you look me in the eyeAnd tell me that you"re happy nowWould you tell it to my faceOr have I been erasedAre you happy nowAre you happy nowAre you happy now Yeah~~~Do you really have everything you wantYou could never give something you ain"t gotYou can"t run away from yourselfCould you look me in the eyeAnd tell me that you"re happy now Yeah~~~Come on tell it to my faceOr have I been erasedAre you happy nowWould you look me in the eyeCould you look me in the eyeI"ve had all that I can takeI"m not about to breakCause I"m happy now Ohh~~~http://music.baidu.com/song/15562666

配置 cPU

参数 n_splits 是将训练数据分成train/test对的组数，可根据需要进行设置，默认为10 参数 test_size 和t rain_size 是用来设置train/test对中train和test所占的比例。例如： 1.提供10个数据num进行训练和测试集划分 2.设置train_size=0.8 test_size=0.2 3.train_num=num train_size=8 test_num=num test_size=2 4.即10个数据，进行划分以后8个是训练数据，2个是测试数据 注 ：train_num≥2，test_num≥2 ;test_size+train_size可以小于1 参数 andom_state 控制是将样本随机打乱 1.其产生指定数量的独立的train/test数据集划分数据集划分成n组。 2.首先将样本随机打乱，然后根据设置参数划分出train/test对。 3.其创建的每一组划分将保证每组类比比例相同。即第一组训练数据类别比例为2:1，则后面每组类别都满足这个比例 记载一个数据增强方法: cutout github地址： https://github.com/uoguelph-mlrg/Cutout 其思想也很简单，就是对训练图像进行随机遮挡，该方法激励神经网络在决策时能够更多考虑次要特征，而不是主要依赖于很少的主要特征，如下图所示： 该方法需要设置n_holes和length两个超参数，分别表示遮挡的补丁数量和遮挡方形补丁的长度。首先建立cutout对象，使用 call 来封装方法，使之可调用：

看提示应该mytools与是.NET Framework 版本之间的问题，查一下你使用的mytools版本需要什么样的 .NET Framework 版本。