gbm

问题 I am using gbm to predict binary response. When I set cv.folds=0, everything works well. However when cv.folds > 1, I got error: Error in object$var.levels[[i]] : subscript out of bounds when the first irritation of crossvalidation finished. Someone said this could because some factor variables have missing levels in training or testing data, but I tried only use numeric variables and still get this error. > gbm.fit <- gbm(model.formula, + data=dataall_train, + distribution = "adaboost", + n

问题 I am using gbm package in R and applying the 'bernoulli' option for distribution to build a classifier and i get unusual results of 'nan' and i'm unable to predict any classification results. But i do not encounter the same errors when i use 'adaboost'. Below is the sample code, i replicated the same errors with the iris dataset. ## using the iris data for gbm library(caret) library(gbm) data(iris) Data <- iris[1:100,-5] Label <- as.factor(c(rep(0,50), rep(1,50))) # Split the data into

问题 I wish I could insert a scale break in my depth chart so that I can better visualize the variation within the data. I have some very extreme points (between 1000 and 4000 m), they are not the majority but they are preventing me from properly viewing the other values, closer to zero. I'm having a hard time inserting individual changes for each chart. Im using the dismo package. gbm.plot(ina, n.plots= 3, y.label= "fitted function", x.label= "", write.title= FALSE, common.scale= FALSE, cex.axis=

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am