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[R] AppVeyor CI for R package (#2954)

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* [R] fix finding R.exe with cmake on WIN when it is in PATH

* [R] appveyor config for R package

* [R] wrap the lines to make R check happier

* [R] install only binary dep-packages in appveyor

* [R] for MSVC appveyor, also build a binary for R package and keep as an artifact
This commit is contained in:
Vadim Khotilovich
2017-12-17 16:37:45 -06:00
committed by GitHub
parent 4fa917b19f
commit 76f8f51438
5 changed files with 85 additions and 9 deletions
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9
R-package/R/xgb.plot.shap.R
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@@ -93,9 +93,12 @@
#' objective = "multi:softprob", num_class = nclass, verbose = 0)
#' trees0 <- seq(from=0, by=nclass, length.out=nrounds)
#' col <- rgb(0, 0, 1, 0.5)
#' xgb.plot.shap(x, model = mbst, trees = trees0, target_class = 0, top_n = 4, n_col = 2, col = col, pch = 16, pch_NA = 17)
#' xgb.plot.shap(x, model = mbst, trees = trees0 + 1, target_class = 1, top_n = 4, n_col = 2, col = col, pch = 16, pch_NA = 17)
#' xgb.plot.shap(x, model = mbst, trees = trees0 + 2, target_class = 2, top_n = 4, n_col = 2, col = col, pch = 16, pch_NA = 17)
#' xgb.plot.shap(x, model = mbst, trees = trees0, target_class = 0, top_n = 4,
#' n_col = 2, col = col, pch = 16, pch_NA = 17)
#' xgb.plot.shap(x, model = mbst, trees = trees0 + 1, target_class = 1, top_n = 4,
#' n_col = 2, col = col, pch = 16, pch_NA = 17)
#' xgb.plot.shap(x, model = mbst, trees = trees0 + 2, target_class = 2, top_n = 4,
#' n_col = 2, col = col, pch = 16, pch_NA = 17)
#'
#' @rdname xgb.plot.shap
#' @export

9
R-package/man/xgb.plot.shap.Rd
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@@ -123,9 +123,12 @@ mbst <- xgboost(data = x, label = as.numeric(iris$Species) - 1, nrounds = nround
objective = "multi:softprob", num_class = nclass, verbose = 0)
trees0 <- seq(from=0, by=nclass, length.out=nrounds)
col <- rgb(0, 0, 1, 0.5)
xgb.plot.shap(x, model = mbst, trees = trees0, target_class = 0, top_n = 4, n_col = 2, col = col, pch = 16, pch_NA = 17)
xgb.plot.shap(x, model = mbst, trees = trees0 + 1, target_class = 1, top_n = 4, n_col = 2, col = col, pch = 16, pch_NA = 17)
xgb.plot.shap(x, model = mbst, trees = trees0 + 2, target_class = 2, top_n = 4, n_col = 2, col = col, pch = 16, pch_NA = 17)
xgb.plot.shap(x, model = mbst, trees = trees0, target_class = 0, top_n = 4,
n_col = 2, col = col, pch = 16, pch_NA = 17)
xgb.plot.shap(x, model = mbst, trees = trees0 + 1, target_class = 1, top_n = 4,
n_col = 2, col = col, pch = 16, pch_NA = 17)
xgb.plot.shap(x, model = mbst, trees = trees0 + 2, target_class = 2, top_n = 4,
n_col = 2, col = col, pch = 16, pch_NA = 17)
}
\references{