Predictive (Classification and Regression) Models Homologator

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Documentation for package ‘traineR’ version 2.0.4

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boosting.importance.plot boosting.importance.plot
categorical.predictive.power categorical.predictive.power
confusion.matrix confusion.matrix
contr.dummy contr.dummy
contr.metric contr.metric
contr.ordinal contr.ordinal
general.indexes general.indexes
numerical.predictive.power numerical.predictive.power
plot.prmdt Plotting prmdt models
predict.ada.prmdt predict.ada.prmdt
predict.adabag.prmdt predict.adabag.prmdt
predict.bayes.prmdt predict.bayes.prmdt
predict.gbm.prmdt predict.gbm.prmdt
predict.glm.prmdt predict.glm.prmdt
predict.glmnet.prmdt predict.glmnet.prmdt
predict.knn.prmdt predict.knn.prmdt
predict.lda.prmdt predict.lda.prmdt
predict.neuralnet.prmdt predict.neuralnet.prmdt
predict.nnet.prmdt predict.nnet.prmdt
predict.qda.prmdt predict.qda.prmdt
predict.randomForest.prmdt predict.randomForest.prmdt
predict.rpart.prmdt predict.rpart.prmdt
predict.svm.prmdt predict.svm.prmdt
predict.xgb.Booster.prmdt predict.xgb.Booster
prediction.variable.balance prediction.variable.balance
print.indexes.prmdt Printing prmdt index object
print.prediction.prmdt Printing prmdt prediction object
print.prmdt Printing prmdt models
ROC.area ROC.area
ROC.plot ROC.plot
train.ada train.ada
train.adabag train.adabag
train.bayes train.bayes
train.gbm train.gbm
train.glm train.glm
train.glmnet train.glmnet
train.knn train.knn
train.lda train.lda
train.neuralnet train.neuralnet
train.nnet train.nnet
train.qda train.qda
train.randomForest train.randomForest
train.rpart train.rpart
train.svm train.svm
train.xgboost train.xgboost
traineR Predictive (Classification and Regression) Models Homologator
varplot Plotting prmdt ada models