- Remove all {DiscriMiner} learners

DESCRIPTION

@@ -94,7 +94,6 @@ Suggests:
     Cubist,
     deepnet,
     DiceKriging,
-    DiscriMiner,
     e1071,
     earth,
     elasticnet,

NAMESPACE

@@ -182,7 +182,6 @@ S3method(makeRLearner,classif.gamboost)
 S3method(makeRLearner,classif.gaterSVM)
 S3method(makeRLearner,classif.gausspr)
 S3method(makeRLearner,classif.gbm)
-S3method(makeRLearner,classif.geoDA)
 S3method(makeRLearner,classif.glmboost)
 S3method(makeRLearner,classif.glmnet)
 S3method(makeRLearner,classif.h2o.deeplearning)
@@ -193,7 +192,6 @@ S3method(makeRLearner,classif.kknn)
 S3method(makeRLearner,classif.knn)
 S3method(makeRLearner,classif.ksvm)
 S3method(makeRLearner,classif.lda)
-S3method(makeRLearner,classif.linDA)
 S3method(makeRLearner,classif.logreg)
 S3method(makeRLearner,classif.lssvm)
 S3method(makeRLearner,classif.lvq1)
@@ -211,7 +209,6 @@ S3method(makeRLearner,classif.plr)
 S3method(makeRLearner,classif.plsdaCaret)
 S3method(makeRLearner,classif.probit)
 S3method(makeRLearner,classif.qda)
-S3method(makeRLearner,classif.quaDA)
 S3method(makeRLearner,classif.rFerns)
 S3method(makeRLearner,classif.randomForest)
 S3method(makeRLearner,classif.ranger)
@@ -370,7 +367,6 @@ S3method(predictLearner,classif.gamboost)
 S3method(predictLearner,classif.gaterSVM)
 S3method(predictLearner,classif.gausspr)
 S3method(predictLearner,classif.gbm)
-S3method(predictLearner,classif.geoDA)
 S3method(predictLearner,classif.glmboost)
 S3method(predictLearner,classif.glmnet)
 S3method(predictLearner,classif.h2o.deeplearning)
@@ -381,7 +377,6 @@ S3method(predictLearner,classif.kknn)
 S3method(predictLearner,classif.knn)
 S3method(predictLearner,classif.ksvm)
 S3method(predictLearner,classif.lda)
-S3method(predictLearner,classif.linDA)
 S3method(predictLearner,classif.logreg)
 S3method(predictLearner,classif.lssvm)
 S3method(predictLearner,classif.lvq1)
@@ -399,7 +394,6 @@ S3method(predictLearner,classif.plr)
 S3method(predictLearner,classif.plsdaCaret)
 S3method(predictLearner,classif.probit)
 S3method(predictLearner,classif.qda)
-S3method(predictLearner,classif.quaDA)
 S3method(predictLearner,classif.rFerns)
 S3method(predictLearner,classif.randomForest)
 S3method(predictLearner,classif.ranger)
@@ -623,7 +617,6 @@ S3method(trainLearner,classif.gamboost)
 S3method(trainLearner,classif.gaterSVM)
 S3method(trainLearner,classif.gausspr)
 S3method(trainLearner,classif.gbm)
-S3method(trainLearner,classif.geoDA)
 S3method(trainLearner,classif.glmboost)
 S3method(trainLearner,classif.glmnet)
 S3method(trainLearner,classif.h2o.deeplearning)
@@ -634,7 +627,6 @@ S3method(trainLearner,classif.kknn)
 S3method(trainLearner,classif.knn)
 S3method(trainLearner,classif.ksvm)
 S3method(trainLearner,classif.lda)
-S3method(trainLearner,classif.linDA)
 S3method(trainLearner,classif.logreg)
 S3method(trainLearner,classif.lssvm)
 S3method(trainLearner,classif.lvq1)
@@ -652,7 +644,6 @@ S3method(trainLearner,classif.plr)
 S3method(trainLearner,classif.plsdaCaret)
 S3method(trainLearner,classif.probit)
 S3method(trainLearner,classif.qda)
-S3method(trainLearner,classif.quaDA)
 S3method(trainLearner,classif.rFerns)
 S3method(trainLearner,classif.randomForest)
 S3method(trainLearner,classif.ranger)

tests/testthat/test_learners_all_classif.R

@@ -92,10 +92,9 @@ test_that("learners work: classif", {
     y = as.factor(rep(c("a", "b"), each = 5))), target = "y")
   lrns = listLearnersCustom(min.task, create = TRUE)
   # FIXME: classif.boosting: Remove if bug is removed in adabag!
-  # FIXME: classif.quaDA: Remove if bug is removed in DiscriMiner::quaDA!
   # FIXME: classif.rknn: Remove if bug is removed in rknn::rknn!
   # classif.cvglmnet does not claim to work for 1d problems
-  # classif.dbnDNN, classif.evtree, classif.geoDA, classif.linDA, classif.lqa
+  # classif.dbnDNN, classif.evtree, classif.lqa
   # (not im mlr anymore),
   # classif.lvq1, classif.mda (maybe only subset error),
   # classif.pamr (maybe only subset error),
@@ -108,14 +107,11 @@ test_that("learners work: classif", {
     "classif.cvglmnet",
     "classif.dbnDNN",
     "classif.evtree",
-    "classif.geoDA",
     "classif.glmnet",
-    "classif.linDA",
     "classif.lvq1",
     "classif.mda",
     "classif.pamr",
     "classif.plsdaCaret",
-    "classif.quaDA",
     "classif.rotationForest",
     "classif.rknn")
   lrns_sub = lrns[extractSubList(lrns, "id", simplify = TRUE) %nin% not.working]