search for: mlr

This is a request to increase MAX_NUM_DLLS in Rdynload.c in from 100 to 500. On line 131 of Rdynload.c, changing #define MAX_NUM_DLLS 100 to #define MAX_NUM_DLLS 500 In development of the mlr package, there have been several episodes in the past where we have had to break up unit tests because of the "maximum number of DLLs reached" error. This error has been an inconvenience that is going to keep happening as the package continues to grow. Is there more than meets the eye wit...

Thanks Henrik this is very helpful! I will try this out on our tests and see if gcDLLs() has a positive effect. mlr currently has tests broken down by learner type such as classification, regression, forecasting, clustering, etc.. There are 83 classifiers alone so even when loading and unloading across learner types we can still hit the MAX_NUM_DLLS error, meaning we'll have to break them down further (or ma...

I apologize in advance for posting a question not related to R. I need references to papers that use multiple linear regression in an industrial application and also in a biological experiment. This is aimed to biologists/chemists (non-statisticans) so if anyone has written a brilliant paper where the use of multiple regression is important and also understandable to people with little

Dear Developers, I am a data science student. I wish to implement Neuro fuzzy Classifier, Adaboost, MLkNN Multi label algorithms for web document classification. I could not find packages and steps for above mention algorithms in mlr <https://mlr-org.github.io/mlr-tutorial/devel/html/multilabel/index.html>. Hence i request you to give your valuable suggestions. In need of your guidance, Thanking you. *Regards,* *Aijaz A.Qazi * [[alternative HTML version deleted]]

Hi, I had a piece of code which looped over a decimal vector like this: for( i in where ){ thisdata <- subset(herde, herde$mlr >= i) # do stuff with thisdata.. } 'where' is a vector like seq(-1, 1, by=0.1) My problem was: 'nrow(thisdata)' in loop repetition 0.4 was different if 'where' was seq(-1, 1, by=0.1) than when 'where' was seq(-0.8, 1, by=0.1) It went away after I changed the...

...ote: | >>>>> Steve Bronder <sbronder at stevebronder.com> | >>>>> on Tue, 20 Dec 2016 01:34:31 -0500 writes: | | > Thanks Henrik this is very helpful! I will try this out on our tests and | > see if gcDLLs() has a positive effect. | | > mlr currently has tests broken down by learner type such as classification, | > regression, forecasting, clustering, etc.. There are 83 classifiers alone | > so even when loading and unloading across learner types we can still hit | > the MAX_NUM_DLLS error, meaning we'll have...

...:quit, :save, :discard, :reset, :delete, :edit * Spanish translation added * No longer overload the Kconv methods because they handle a few cases that Iconv doesn''t. My knowledge of Japanese and other asian languages is VERY limited. If you Japanese guys think that the way MLR integrates compose/decompose/normalize right now is wrong/ backwards, please tell me right now so I can make a more natural-to-use implementation for the next version. Translators wanted! Please look at lib/multilingual/data/README for information about how to make translated ISO3166/639-files...

...ables, the results are reasonable. With increasing the number of independent variables more than 11, the coefficients will get ?NA? in the output. Is there any limitation for the number of independent variables in multiple linear regressions in R? I attached my dataset as well as R codes below: mlr.data<- read.table("./multiple.txt",header=T) mlr.output<- lm(formula = CaV ~ SHG + TrD+ CrH+ SPAD+ FlN+ FrN+ YT+ LA+ LDMP+ B+Cu+ Zn+ Mn + Fe+ K + P+ N +Clay30 +Silt30 +Sand30 +Clay60 +Silt60 +Sand60 +ESP30 +NaEx30+ CEC30+Cl30+ SAR30 +KSol30+ NaSol30 +CaMgSol3 +ZnAv...

Hi all, I have a dataset with a response variable with three categories (1, 2, 3) and a lot of continuous variables. I'd like to make a MLR with these variables. I've been watching the libraries nnet and zelig for this purpose but I don't understand them well. I use a training sample data to make the MLR. train.set <- sample(1:1000,1000*0.7) I have done this: library(nnet) net <- nnet(response.variable~., data = train...

...Steve Bronder <sbronder at stevebronder.com> > | >>>>> on Tue, 20 Dec 2016 01:34:31 -0500 writes: > | > | > Thanks Henrik this is very helpful! I will try this out on our tests and > | > see if gcDLLs() has a positive effect. > | > | > mlr currently has tests broken down by learner type such as classification, > | > regression, forecasting, clustering, etc.. There are 83 classifiers alone > | > so even when loading and unloading across learner types we can still hit > | > the MAX_NUM_DLLS error, meaning...

I am using 'igraph' package to make some graphs of 'gene-gene interaction'. I can get a data.frame which has three columns. gene1 gene2 pvalue AGT MLR 1.2e-04 MLR 11BHSD1 1.71e-05 IFG2 11BHSD2 2.2e-07 . . . . . . . . . AGTR1 NPPA 3.2e-2 I have several questions: 1) How can I make a plot in which the width of the...

...DictionaryLearner! Pero obtuve el mismo error. Como muestro. Reconozco el error de imprecisión al plantear la duda, por no poner esta experiencia. Este resultado, por decirlo de alguna manera, me mueve a pensar que el problema está en el reposititorio de la librería mlr3, al buscar la técnica de clasificación. No sé si hay algo más que no he hecho, además de cargar las librerías que entiendo deben estar, es decir: library(ranger) library(mlr3) Agradeceré cualquier comentario que me hagáis. Gracias C...

...The following syntax produce Table \ref{tab:coefAllmod1}, which is not what I want. <<label=tab1>>= l <- latex(tab.coef.allmodels, file="tab.coefAllmod1.tex", rowlabel="Model for", first.hline.double=FALSE, rowlabel.just="l", caption="MLR and LME parameter estimates by stand variables", caption.loc="top", label="tab:coefAllmod1",where="!h") @ \input{tab.coefAllmod1} \subsection{What I want, but not getting it right} The following syntax produce Table \ref{tab:coefAllmod2}, which contains...

>>>>> Steve Bronder <sbronder at stevebronder.com> >>>>> on Tue, 20 Dec 2016 01:34:31 -0500 writes: > Thanks Henrik this is very helpful! I will try this out on our tests and > see if gcDLLs() has a positive effect. > mlr currently has tests broken down by learner type such as classification, > regression, forecasting, clustering, etc.. There are 83 classifiers alone > so even when loading and unloading across learner types we can still hit > the MAX_NUM_DLLS error, meaning we'll have to bre...

Estimados amigos: Esta tarde he estado probando la librería mlr3, que me resulta muy interesante para trabajos de clasificación. En concreto, para entender su funcionamiento he probado un ejemplo simple (viene en CRAN). Sin embargo, cuando cambio el parámetro de clasifiación en la función de aprendizaje, me aparece el error siguiente: *Error: Element with key...

Hello, I'm with a conceptual doubt regarding Rsquared of both lm() and postResample(library caret). I've got a multiple regression linear model (lets say mlr) with anR² value of 67.52%. Then I use this model pro make predictions with predict() function using the same data as input , that is, use the generated model to predict the value associated with data that I used as input. Next, if I apply postResample() to the observed and predicted data, why do...

...) irrespective of (i.e. controlled for) z at any of the measurements. (1) What would be a good way of testing for the hypothesis in the context of a GLM or a canonical regression analysis? I can see that in a parametric testing and for a single measurement of y a simple multiple linear regression (MLR) or an ANCOVA (or a RANCOVA in a nonparametric approach) would do the trick. However, I am not sure how to tackle the issue facing repeated and at least biologically somehow interdependent measurements and the goal to include as much measurements as possible even though the sample size differs. I t...

...ronder <sbronder at stevebronder.com> wrote: > This is a request to increase MAX_NUM_DLLS in Rdynload.c in from 100 to 500. > > On line 131 of Rdynload.c, changing > > #define MAX_NUM_DLLS 100 > > to > > #define MAX_NUM_DLLS 500 > > > In development of the mlr package, there have been several episodes in the > past where we have had to break up unit tests because of the "maximum > number of DLLs reached" error. This error has been an inconvenience that is > going to keep happening as the package continues to grow. Is there more > th...

I applied bootpred for multinomial logistic reg. (with nnet package). I used same as theta.fit and theta.predict of R for my data. but give me error. Can I do this with response vriable;7 levels predictor variables:5 (1 classifier, 4 continuous)?   Thanks alot Azam   [[alternative HTML version deleted]]

...> > > wrote: > >> > >> Excuse me if I did not explain myself correctly but I currently use: > >> > >> list.of.packages <- c("caretEnsemble","logicFS"," > >> RWeka","ordinalNet","xgboost","mlr","caret","MLmetrics"," > bartMachine","spikeslab","party","rqPen","monomvn"," > foba","logicFS","rPython","qrnn","randomGLM","msaenet"," > Rborist&quo...