Fix for CRAN Submission (#1826)
* fix cran check * change required R version because of utils::globalVariables * temporary commit, monotone not working * fix test * fix doc * fix doc * fix cran note and warning * improve checks * fix urls
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@@ -57,7 +57,8 @@
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#' bst = xgb.train(params = param, data = dtrain, nrounds = nround, nthread = 2)
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#'
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#' # Model accuracy without new features
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#' accuracy.before <- sum((predict(bst, agaricus.test$data) >= 0.5) == agaricus.test$label) / length(agaricus.test$label)
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#' accuracy.before <- sum((predict(bst, agaricus.test$data) >= 0.5) == agaricus.test$label) /
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#' length(agaricus.test$label)
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#'
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#' # Convert previous features to one hot encoding
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#' new.features.train <- xgb.create.features(model = bst, agaricus.train$data)
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@@ -70,10 +71,12 @@
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#' bst <- xgb.train(params = param, data = new.dtrain, nrounds = nround, nthread = 2)
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#'
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#' # Model accuracy with new features
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#' accuracy.after <- sum((predict(bst, new.dtest) >= 0.5) == agaricus.test$label) / length(agaricus.test$label)
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#' accuracy.after <- sum((predict(bst, new.dtest) >= 0.5) == agaricus.test$label) /
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#' length(agaricus.test$label)
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#'
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#' # Here the accuracy was already good and is now perfect.
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#' cat(paste("The accuracy was", accuracy.before, "before adding leaf features and it is now", accuracy.after, "!\n"))
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#' cat(paste("The accuracy was", accuracy.before, "before adding leaf features and it is now",
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#' accuracy.after, "!\n"))
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#'
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#' @export
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xgb.create.features <- function(model, data, ...){
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