API for ja-thomas/autoxgboost
Automatic tuning and fitting of xgboost

Global functions
AutoxgbResult Man page
autoxgboost Man page Source code
autoxgbparset Man page
buildFinalLearner Source code
classOneFraction Source code
createDMatrixFromTask Source code
createImpactFeatures Man page Source code
createImpactFeatures.Task Source code
createImpactFeatures.data.frame Source code
getBestIteration Source code
getBestIteration.PreprocModel Source code
getBestIteration.WrappedModel Source code
getBestNrounds Source code
getLearnerProperties.ImpactFeatureWrapper Source code
getThreshold Source code
makeImpactFeaturesWrapper Man page Source code
makeRLearner.classif.autoxgboost Source code
makeRLearner.classif.xgboost.earlystop Source code
makeRLearner.regr.autoxgboost Source code
makeRLearner.regr.xgboost.earlystop Source code
predict.AutoxgbResult Source code
predictLearner.classif.autoxgboost Source code
predictLearner.classif.xgboost.earlystop Source code
predictLearner.regr.autoxgboost Source code
predictLearner.regr.xgboost.earlystop Source code
print.AutoxgbResult Source code
trainLearner.classif.autoxgboost Source code
trainLearner.classif.xgboost.earlystop Source code
trainLearner.regr.autoxgboost Source code
trainLearner.regr.xgboost.earlystop Source code
ja-thomas/autoxgboost documentation built on July 5, 2017, 10:31 a.m.