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- Remove nodeHarvest learners #2841

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Merged
pat-s merged 1 commit into from
Jul 17, 2022
Merged

- Remove nodeHarvest learners #2841

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1 change: 0 additions & 1 deletion DESCRIPTION
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Expand Up @@ -135,7 +135,6 @@ Suggests:
mRMRe,
neuralnet,
nnet,
nodeHarvest (>= 0.7-3),
numDeriv,
pamr,
pander,
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6 changes: 0 additions & 6 deletions NAMESPACE
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Expand Up @@ -202,7 +202,6 @@ S3method(makeRLearner,classif.naiveBayes)
S3method(makeRLearner,classif.neuralnet)
S3method(makeRLearner,classif.nnTrain)
S3method(makeRLearner,classif.nnet)
S3method(makeRLearner,classif.nodeHarvest)
S3method(makeRLearner,classif.pamr)
S3method(makeRLearner,classif.penalized)
S3method(makeRLearner,classif.plr)
Expand Down Expand Up @@ -278,7 +277,6 @@ S3method(makeRLearner,regr.lm)
S3method(makeRLearner,regr.mars)
S3method(makeRLearner,regr.mob)
S3method(makeRLearner,regr.nnet)
S3method(makeRLearner,regr.nodeHarvest)
S3method(makeRLearner,regr.pcr)
S3method(makeRLearner,regr.penalized)
S3method(makeRLearner,regr.plsr)
Expand Down Expand Up @@ -387,7 +385,6 @@ S3method(predictLearner,classif.naiveBayes)
S3method(predictLearner,classif.neuralnet)
S3method(predictLearner,classif.nnTrain)
S3method(predictLearner,classif.nnet)
S3method(predictLearner,classif.nodeHarvest)
S3method(predictLearner,classif.pamr)
S3method(predictLearner,classif.penalized)
S3method(predictLearner,classif.plr)
Expand Down Expand Up @@ -463,7 +460,6 @@ S3method(predictLearner,regr.lm)
S3method(predictLearner,regr.mars)
S3method(predictLearner,regr.mob)
S3method(predictLearner,regr.nnet)
S3method(predictLearner,regr.nodeHarvest)
S3method(predictLearner,regr.pcr)
S3method(predictLearner,regr.penalized)
S3method(predictLearner,regr.plsr)
Expand Down Expand Up @@ -637,7 +633,6 @@ S3method(trainLearner,classif.naiveBayes)
S3method(trainLearner,classif.neuralnet)
S3method(trainLearner,classif.nnTrain)
S3method(trainLearner,classif.nnet)
S3method(trainLearner,classif.nodeHarvest)
S3method(trainLearner,classif.pamr)
S3method(trainLearner,classif.penalized)
S3method(trainLearner,classif.plr)
Expand Down Expand Up @@ -713,7 +708,6 @@ S3method(trainLearner,regr.lm)
S3method(trainLearner,regr.mars)
S3method(trainLearner,regr.mob)
S3method(trainLearner,regr.nnet)
S3method(trainLearner,regr.nodeHarvest)
S3method(trainLearner,regr.pcr)
S3method(trainLearner,regr.penalized)
S3method(trainLearner,regr.plsr)
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1 change: 0 additions & 1 deletion tests/testthat/test_learners_all_classif.R
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Expand Up @@ -12,7 +12,6 @@ test_that("learners work: classif", {
classif.earth = list(degree = 3L, nprune = 2L),
classif.gbm = list(bag.fraction = 1, n.minobsinnode = 1),
classif.lssvm = list(kernel = "rbfdot", reduced = FALSE),
classif.nodeHarvest = list(nodes = 100L, nodesize = 5L),
classif.xyf = list(ydim = 2L),
classif.h2o.deeplearning = list(hidden = 2L),
classif.FDboost = list(mstop = 2L)
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3 changes: 0 additions & 3 deletions tests/testthat/test_learners_all_regr.R
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Expand Up @@ -16,7 +16,6 @@ test_that("learners work: regr ", {
# see above
replace_missing_data_with_x_j_bar = TRUE,
num_iterations_after_burn_in = 10L),
regr.nodeHarvest = list(nodes = 100L, nodesize = 5L),
regr.h2o.deeplearning = list(hidden = 2L),
regr.ranger = list(keep.inbag = TRUE)
)
Expand Down Expand Up @@ -73,7 +72,6 @@ test_that("learners work: regr ", {
lrns = suppressMessages(listLearnersCustom(min.task, create = TRUE))
# regr.gbm: Meaningfull error about too small dataset
# regr.cforest: Error in model@fit(data, ...) : fraction of 0.000000 is too small
# regr.nodeHarvest: Error in ZRULES[[1]] : subscript out of bounds
# others: see learners_all_classif and random errors
not.working = c(
"regr.cforest",
Expand All @@ -83,7 +81,6 @@ test_that("learners work: regr ", {
"regr.gbm",
"regr.glmnet",
"regr.laGP",
"regr.nodeHarvest",
"regr.slim")
lrns = lrns[extractSubList(lrns, "id", simplify = TRUE) %nin% not.working]
foo = suppressWarnings(lapply(lrns, testBasicLearnerProperties, task = min.task,
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1 change: 0 additions & 1 deletion tests/testthat/test_learners_classiflabelswitch.R
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Expand Up @@ -40,7 +40,6 @@ hpars = list(
classif.LiblineaRLogReg = list(type = 7),
classif.LiblineaRBinary = list(type = 1),
classif.LiblineaRMultiClass = list(type = 1),
classif.nodeHarvest = list(nodes = 100L, maxinter = 1L),
classif.FDboost = list(mstop = 10L)
)

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0 R/RLearner_classif_nodeHarvest.R → todo-files/RLearner_classif_nodeHarvest.R
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0 R/RLearner_regr_nodeHarvest.R → todo-files/RLearner_regr_nodeHarvest.R
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0 tests/testthat/test_classif_nodeHarvest.R → todo-files/test_classif_nodeHarvest.R
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0 tests/testthat/test_regr_nodeHarvest.R → todo-files/test_regr_nodeHarvest.R
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