All Questions
Tagged with doparallel r-caret
18
questions
1
vote
0
answers
115
views
How to do Parallel Computing in R with Workflow and Caret packages
I know that I can do parallel computing in R however I am having trouble setting it up in a way that it works with my modeling approach.
Here is how I set load / set up the parallel computing
library(...
- 37
2
votes
0
answers
269
views
How do you use more available cores when using DoParallel to tune models on tidymodel
I'm tuning some random forest models using ranger in tidymodels. I have a fairly large dataset with many columns. As a result, I set up a digital ocean droplet for tuning/trainng using instructions ...
- 3,518
2
votes
2
answers
324
views
How to get same results using loop and parallel in R?
I test the influence of training data on the accuracy of classification. For example, I use iris data. I noticed that I get the best accuracy from 33 iteration. I would like to use the training set (...
- 77
0
votes
0
answers
172
views
Parallel processing within a function with caret model
I am attempting to create an all in one parallel processing caret function for training caret models with different inputs. I want the function to be its own process independant of all other calls.
...
- 587
7
votes
2
answers
501
views
Caret doparallel in Rmarkdown: Missing verbose info when using render()
I have the following simple example Rmarkdown document (test.Rmd):
---
title: "Test Knit Caret Paralell VerboseIter"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo =...
- 6,010
0
votes
0
answers
423
views
doParallel computing using caret error message
I have been trying to implement multi-core processing with library(doParallel) but somehow one error kept showing up. I doubt it is an error generated from doParallel package. Below is my code (I skip ...
- 21
2
votes
1
answer
213
views
R doParallel: couldn't find function
I have set up the following function:
cv_model <- function(dat, targets, predictors_name){
library(randomForest)
library(caret)
library(MLmetrics)
library(Metrics)
# set up error ...
- 762
1
vote
0
answers
363
views
Error when tuning xgboost model in caret's train function in parallel
I am trying to run some cross validation tuning in caret for an xgboost model. I have a large tuning grid so I'd like to run it in parallel. I set up the data as a sparse matrix, set up the tuning ...
- 2,081
0
votes
0
answers
452
views
caret package not using all the cores
I am running a model on an AWS instance with 36 cores. Dummy data example:
library(mlbench)
data(Sonar)
library(caret)
library(doParallel)
set.seed(95014)
# create training & testing data sets
...
- 1,406
4
votes
1
answer
383
views
caret error if doParallel and recipes is used
When I use caret together with the new recipes package, i.e., caret::train.recipe(), then I receive an error message if also doParallel is used to register a parallel backend. Attached is a ...
2
votes
0
answers
1k
views
When parallel processing in caret, verbose messages do not appear in the console
I've worked in R and a question arose.
I've made up an R code using the train() function in caret library, and I also set the parallel process by registDoParallel() in doParallel.
If I execute ...
- 51
2
votes
3
answers
2k
views
caret train binary glm fails on parallel cluster via doParallel
I have seen there are a lot of questions around this topic already but none seems to give a satisfying answer to my problem. I intend to use caret::train() in combination with library doParallel on a ...
- 2,485
0
votes
0
answers
390
views
R - caret - Print iteration when using parallel backend
I would like to generate progress printing while running a parallel back-end with the caret package.
Same question and solution here, yet the solution does not work for me, any help would be ...
- 447
1
vote
0
answers
260
views
doparallel package in caret train model under linux
I have a problem when I run the train function in caret with parallel processing, for example, when I run a simple R code like:
library(doParallel); cl <- makeCluster(4);
...
2
votes
1
answer
394
views
RWeka will not work with caret or possibly %dopar%
I am completing the exercises from Applied Predictive Modeling, the R textbook for the caret package, by the authors. I cannot get the train function to work with methods M5P or M5Rules.
The code ...
- 886