manaakiwhenua / xgboostCV Public

a workflow for fitting cross-validated XGBOOST models in R and producing various diagnostic and interpretive outputs

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
.github/workflows		.github/workflows
Iris		Iris
IrisFoldVector		IrisFoldVector
Petal.Length		Petal.Length
Petal.LengthFoldVector		Petal.LengthFoldVector
virginica		virginica
virginicaFoldVector		virginicaFoldVector
.gitattributes		.gitattributes
Mainline.iris.test.R		Mainline.iris.test.R
README.md		README.md
wrapper.xgb.cv.continuous.r		wrapper.xgb.cv.continuous.r
wrapper.xgb.cv.logistic.r		wrapper.xgb.cv.logistic.r
wrapper.xgb.cv.multi.r		wrapper.xgb.cv.multi.r
xgb.cv.fit.boxplot.r		xgb.cv.fit.boxplot.r
xgb.cv.fit.scatterplot.r		xgb.cv.fit.scatterplot.r
xgb.cv.importance.plot.R		xgb.cv.importance.plot.R
xgb.cv.interaction.r		xgb.cv.interaction.r
xgb.cv.makefolds.R		xgb.cv.makefolds.R
xgb.cv.partial.r		xgb.cv.partial.r
xgb.cv.predict.r		xgb.cv.predict.r