Hai all,
We are working on Multi-class Classification. Currently up to 1.1 million
records Ranger package in R is able to handle. Training time on 128 GB RAM
is 12 days, which is not a practically feasible method to proceed further.
In future we will have dataset of dimension 10 million records,
I need to calculate information gain using Fselector package for feature
selection ti classify document
i executed the code below
library(tm)
library(NLP)
library(FSelector)
doc<-c( "The sky is blue.", "The sun is bright today.",
"The sun in the sky is bright.","We can see the shining s
To do lemmatization in R, I executed code below
library("koRpus")
tagged.results <- treetag(c("run", "ran", "running"), treetagger="manual",
format="obj",
TT.tknz=FALSE , lang="en",
TT.options=list(path="C:/Program
Files/TreeTagger", preset="en")
From: "Ranjana Girish"
Date: Oct 7, 2016 3:14 PM
Subject: help:In SOM package all entities are predicted to the same class
Cc:
Hi All,,,
Every-time when i run the below code it is predicting the same class for
all the test cases.So i have added few more parameters while forming the
From: "Ranjana Girish"
Date: Oct 7, 2016 3:39 PM
Subject: Re:In SOM package all entities are predicted to the same class
Cc:
> Even after trying with different parameters of SOM still all entities are
getting predicted to same class..
>
> Note: for each run, class are dif
hai everyone.
i am using model building function xgboost() using code :
fit <- xgboost(data =sparse_matrix , label = trainSet$OutputClass,
max.depth = 4,eta = 1, nthread = 2, nround = 10, eval_metric =
"merror",objective = "multi:softmax",num_class = 45)
when i use the prediction function:
Hi all,
we are connecting to R language from Java using Rserve().
while doing so,Got one issue at hand
Some of the command in R is taking more than 20 min. During this time we
are receiving
java.net.SocketException: Connection reset
at java.net.SocketInputStream.read(SocketInputStream.j
Hi all,
If we execute an R script directly in R prompt in Linux environment, it
takes around 30 mins to complete.
The same R script if we execute from java using RConnection, eval and
Rserve for each line it takes thrice the time.
Basically the performance is very bad. And in most of the occasio
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