On 30 Nov 2015, at 02:59 , Max Kuhn <mxk...@gmail.com> wrote:
> Providing a reproducible example and the results of `sessionInfo` will help
> get your question answered.
>
> My only guess is that one or more of your predictors are factors and that
> the in-sample data (used to build the model during resampling) have
> different levels than the holdout samples.
Another guess is that there's a factor in your (Karteek's) data that has only
one level and that "ID ~ ." is pullling more variables into the model than you
actually want.
-pf
>
> Max
>
> On Sat, Nov 28, 2015 at 10:04 PM, Karteek Pradyumna Bulusu <
> kartikpradyumn...@gmail.com> wrote:
>
>> Hey,
>>
>> I was trying to implement Stochastic Gradient Boosting in R. Following is
>> my code in rstudio:
>>
>>
>>
>> library(caret);
>>
>> library(gbm);
>>
>> library(plyr);
>>
>> library(survival);
>>
>> library(splines);
>>
>> library(mlbench);
>>
>> set.seed(35);
>>
>> stack = read.csv("E:/Semester 3/BDA/PROJECT/Sample_SO.csv", head
>> =TRUE,sep=",");
>>
>> dim(stack); #displaying dimensions of the dataset
>>
>>
>>
>> #SPLITTING TRAINING AND TESTING SET
>>
>> totraining <- createDataPartition(stack$ID, p = .6, list = FALSE);
>>
>> training <- stack[ totraining,]
>>
>> test <- stack[-totraining,]
>>
>>
>>
>> #PARAMETER SETTING
>>
>> t_control <- trainControl(method = "cv", number = 10);
>>
>>
>>
>>
>>
>> # GLM
>>
>> start <- proc.time();
>>
>>
>>
>> glm = train(ID ~ ., data = training,
>>
>> method = "gbm",
>>
>> metric = "ROC",
>>
>> trControl = t_control,
>>
>> verbose = FALSE)
>>
>>
>>
>> When I am compiling last line, I am getting following error:
>>
>>
>>
>> Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) :
>>
>> contrasts can be applied only to factors with 2 or more levels
>>
>>
>>
>>
>>
>> Can anyone tell me where I am going wrong and How to rectify it. It’ll be
>> greatful.
>>
>>
>>
>> Thank you. Looking forward to it.
>>
>>
>>
>> Regards,
>> Karteek Pradyumna Bulusu.
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Office: A 4.23
Email: pd....@cbs.dk Priv: pda...@gmail.com
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
