R插入符号nnet包

我有两个R对象，如下所示

矩阵“datamatrix”-200行和494列：这些是我的x变量

数据帧Y.Y$V1是我的Y变量。我已经将V1列转换为一个因子，我正在构建一个分类模型

我想建立一个神经网络，我在命令下运行

model <- train(Y$V1 ~ datamatrix, method='nnet', linout=TRUE, trace = FALSE,
               #Grid of tuning parameters to try:
               tuneGrid=expand.grid(.size=c(1,5,10),.decay=c(0,0.001,0.1))) 

参数“data”丢失

错误通过向

train

调用添加

data=datamatrix

参数来解决。我会这样做：

datafr <- as.data.frame(datamatrix)

# V1 is the first column name if dimnames aren't specified
datafr$V1 <- as.factor(datafr$V1)

model <- train(V1 ~ ., data = datafr, method='nnet', 
               linout=TRUE, trace = FALSE,
               tuneGrid=expand.grid(.size=c(1,5,10),.decay=c(0,0.001,0.1))) 

datafrtrain

调用中添加

data=datamatrix

参数可以解决

参数“data”丢失的问题。我会这样做：

datafr <- as.data.frame(datamatrix)

# V1 is the first column name if dimnames aren't specified
datafr$V1 <- as.factor(datafr$V1)

model <- train(V1 ~ ., data = datafr, method='nnet', 
               linout=TRUE, trace = FALSE,
               tuneGrid=expand.grid(.size=c(1,5,10),.decay=c(0,0.001,0.1))) 

datafrtrain
调用中添加
data=datamatrix
参数可以解决
参数“data”丢失的问题。我会这样做：

datafr <- as.data.frame(datamatrix)

# V1 is the first column name if dimnames aren't specified
datafr$V1 <- as.factor(datafr$V1)

model <- train(V1 ~ ., data = datafr, method='nnet', 
               linout=TRUE, trace = FALSE,
               tuneGrid=expand.grid(.size=c(1,5,10),.decay=c(0,0.001,0.1))) 

datafrtrain
调用中添加
data=datamatrix
参数可以解决
参数“data”丢失的问题。我会这样做：

datafr <- as.data.frame(datamatrix)

# V1 is the first column name if dimnames aren't specified
datafr$V1 <- as.factor(datafr$V1)

model <- train(V1 ~ ., data = datafr, method='nnet', 
               linout=TRUE, trace = FALSE,
               tuneGrid=expand.grid(.size=c(1,5,10),.decay=c(0,0.001,0.1))) 

datafr谢谢…似乎起作用了…请将您的评论作为回复发布谢谢…似乎起作用了…请将您的评论作为回复发布谢谢…似乎起作用了…请将您的评论作为回复发布谢谢…似乎起作用了…请将您的评论作为回复发布