Avoid some Cran check error messages

This commit is contained in:
El Potaeto 2015-01-21 13:26:34 +01:00
parent 34e2fbd2c4
commit e475b7d84e
6 changed files with 22 additions and 2 deletions

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@ -130,3 +130,8 @@ xgb.cv <- function(params=list(), data, nrounds, nfold, label = NULL, missing =
}
return(dt)
}
# Avoid error messages during CRAN check.
# The reason is that these variables are never declared
# They are mainly column names inferred by Data.table...
globalVariables(".")

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@ -55,3 +55,8 @@ xgb.dump <- function(model = NULL, fname = NULL, fmap = "", with.stats=FALSE) {
return(TRUE)
}
}
# Avoid error messages during CRAN check.
# The reason is that these variables are never declared
# They are mainly column names inferred by Data.table...
globalVariables(".")

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@ -81,3 +81,5 @@ treeDump <- function(feature_names, text){
linearDump <- function(feature_names, text){
which(text == "weight:") %>% {a=.+1;text[a:length(text)]} %>% as.numeric %>% data.table(Feature = feature_names, Weight = .)
}
globalVariables(".")

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@ -162,3 +162,8 @@ xgb.model.dt.tree <- function(feature_names = NULL, filename_dump = NULL, model
allTrees
}
# Avoid error messages during CRAN check.
# The reason is that these variables are never declared
# They are mainly column names inferred by Data.table...
globalVariables("ID", "Tree", "Yes", ".", "Feature", "Cover", "Quality", "No", "Gain", "Frequence")

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@ -87,3 +87,5 @@ xgb.plot.tree <- function(feature_names = NULL, filename_dump = NULL, model = NU
path <- allTrees[Feature!="Leaf", c(yesPath, noPath)] %>% .[order(.)] %>% paste(sep = "", collapse = ";") %>% paste("graph LR", .,collapse = "", sep = ";") %>% paste(CSSstyle, yes, no, sep = ";")
DiagrammeR(path, width, height)
}
globalVariables("Feature", "yesPath", "ID", "Cover", "Quality", "Split", "Yes", "Yes.Feature", "noPath", "No", "No.Feature", ".")

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@ -153,7 +153,8 @@ class ColMaker: public IUpdater {
}
unsigned n = static_cast<unsigned>(param.colsample_bytree * feat_index.size());
random::Shuffle(feat_index);
utils::Check(n > 0, "colsample_bytree is too small that no feature can be included");
//utils::Check(n > 0, "colsample_bytree is too small that no feature can be included");
utils::Check(n > 0, "colsample_bytree=%g is too small that no feature can be included", param.colsample_bytree);
feat_index.resize(n);
}
{// setup temp space for each thread