XGBoost in R. Error in xgb.iter.update SoftmaxMultiClassObj

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Xgboost is short for eXtreme Gradient Boosting package, XGBoost includes regression, classification and ranking.

Install XGBoost latest version from github

devtools::install_github('dmlc/xgboost',subdir='R-package')

Error

clf<-xgboost(
 data=data.matrix(train[,feature.names]),
        label     = train$Survived,
 booster   = "gblinear",
 nrounds   = 20,
 objective = "multi:softprob",
 num_class = 2,
        eval_metric = "merror"
            )  

Error in xgb.iter.update(bst$handle, dtrain, i - 1, obj) : SoftmaxMultiClassObj: label must be in [0, num_class), num_class=2 but found 2 in label

Solution

needed to convert the response variable from factor to numeric.

train$Survived<-as.numeric(levels(train$Survived))[train$Survived]

also install package "libx11-dev"
solai@vm1$ sudo apt-get install libx11-dev

then try again.

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Top 9 Rule : Code of conduct for Data Science professional

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Top 9 Rule : Code of conduct for Data Science professional

Rule 1 - know the Terminology

Data Scientist - Client Relationship
Rule 2 - Competence
Rule 3 - Scope of Data Science Professional Services Between Client and Data Scientist
Rule 4 - Communication with Clients
Rule 5 - Confidential Information
Rule 6 - Conflicts of Interest
Rule 7 - Duties to Prospective Client
Rule 8 - Data Science Evidence, Quality of Data and Quality of Evidence

Maintaining the Integrity of the Data Science Profession
Rule 9 - Misconduct

For more details report

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How to Install rattle package : Graphical User Interface for Data Mining in R

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step to install rattle package in R

Need to installl "libgtk2.0-dev" package in OS

bigdata@solai:~$ sudo apt-get install libgtk2.0-dev

then install "RGtk2" and "rattle" in R environment
install.packages("RGtk2")
install.packages("rattle")

load the library for the session by
library(rattle)

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