CRAN Package Check Results for Package mlr

Last updated on 2015-03-28 09:48:21.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.3 9.67 121.72 131.39 ERROR
r-devel-linux-x86_64-debian-gcc 2.3 11.03 123.77 134.80 ERROR
r-devel-linux-x86_64-fedora-clang 2.3 184.48 ERROR
r-devel-linux-x86_64-fedora-gcc 2.3 180.66 ERROR
r-devel-osx-x86_64-clang 2.3 213.31 ERROR
r-prerel-windows-ix86+x86_64 2.3 25.00 246.00 271.00 ERROR
r-prerel-linux-x86_64 2.3 9.59 120.06 129.66 ERROR
r-prerel-solaris-sparc 2.3 641.30 NOTE --no-examples --no-tests
r-prerel-solaris-x86 2.3 139.90 NOTE --no-examples --no-tests
r-release-linux-x86_64 2.3 13.00 136.02 149.01 ERROR
r-release-osx-x86_64-mavericks 2.3 OK
r-release-osx-x86_64-snowleopard 2.3 OK
r-release-windows-ix86+x86_64 2.3 25.00 258.00 283.00 ERROR
r-oldrel-windows-ix86+x86_64 2.3 26.00 202.00 228.00 ERROR

Check Details

Version: 2.3
Check: package dependencies
Result: NOTE
    Package suggested but not available for checking: ‘xgboost’
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-osx-x86_64-clang, r-prerel-linux-x86_64, r-release-linux-x86_64

Version: 2.3
Check: dependencies in R code
Result: NOTE
    Missing or unexported object: ‘kohonen::predict.kohonen’
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-osx-x86_64-clang, r-prerel-windows-ix86+x86_64, r-release-linux-x86_64, r-release-windows-ix86+x86_64

Version: 2.3
Check: tests
Result: ERROR
    Running the tests in ‘tests/run-base.R’ failed.
    Last 13 lines of output:
     makeClassifTask(data = 44, target = "y") does not match 'be a data.frame'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'data' failed: Must be of type 'data.frame', not 'double'\n"
    
     2. Failure(@test_base_SupervisedTask.R#27): SupervisedTask ---------------------
     makeClassifTask(data = regr.df, target = regr.target) does not match 'be a factor'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'medv' failed: Must be of type 'factor', not 'double'\n"
    
     3. Failure(@test_base_SupervisedTask.R#29): SupervisedTask ---------------------
     makeRegrTask(data = multiclass.df, target = multiclass.target) does not match 'be numeric'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'Species' failed: Must be of type 'numeric', not 'factor'\n"
    
     4. Failure(@test_base_UnsupervisedTask.R#6): UnsupervisedTask ------------------
     makeClassifTask(data = 44) does not match 'Must be a data.frame'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'data' failed: Must be of type 'data.frame', not 'double'\n"
    
     Error: Test failures
     Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-osx-x86_64-clang, r-prerel-linux-x86_64, r-release-linux-x86_64

Version: 2.3
Check: running tests for arch 'i386'
Result: ERROR
    Running the tests in 'tests/run-base.R' failed.
    Last 13 lines of output:
     makeClassifTask(data = 44, target = "y") does not match 'be a data.frame'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'data' failed: Must be of type 'data.frame', not 'double'\n"
    
     2. Failure(@test_base_SupervisedTask.R#27): SupervisedTask ---------------------
     makeClassifTask(data = regr.df, target = regr.target) does not match 'be a factor'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'medv' failed: Must be of type 'factor', not 'double'\n"
    
     3. Failure(@test_base_SupervisedTask.R#29): SupervisedTask ---------------------
     makeRegrTask(data = multiclass.df, target = multiclass.target) does not match 'be numeric'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'Species' failed: Must be of type 'numeric', not 'factor'\n"
    
     4. Failure(@test_base_UnsupervisedTask.R#6): UnsupervisedTask ------------------
     makeClassifTask(data = 44) does not match 'Must be a data.frame'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'data' failed: Must be of type 'data.frame', not 'double'\n"
    
     Error: Test failures
     Execution halted
Flavors: r-prerel-windows-ix86+x86_64, r-release-windows-ix86+x86_64

Version: 2.3
Check: running tests for arch 'x64'
Result: ERROR
    Running the tests in 'tests/run-base.R' failed.
    Last 13 lines of output:
     makeClassifTask(data = 44, target = "y") does not match 'be a data.frame'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'data' failed: Must be of type 'data.frame', not 'double'\n"
    
     2. Failure(@test_base_SupervisedTask.R#27): SupervisedTask ---------------------
     makeClassifTask(data = regr.df, target = regr.target) does not match 'be a factor'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'medv' failed: Must be of type 'factor', not 'double'\n"
    
     3. Failure(@test_base_SupervisedTask.R#29): SupervisedTask ---------------------
     makeRegrTask(data = multiclass.df, target = multiclass.target) does not match 'be numeric'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'Species' failed: Must be of type 'numeric', not 'factor'\n"
    
     4. Failure(@test_base_UnsupervisedTask.R#6): UnsupervisedTask ------------------
     makeClassifTask(data = 44) does not match 'Must be a data.frame'. Actual value: "Error in test_check("mlr", filter = "base") : \n Assertion on 'data' failed: Must be of type 'data.frame', not 'double'\n"
    
     Error: Test failures
     Execution halted
Flavors: r-prerel-windows-ix86+x86_64, r-release-windows-ix86+x86_64

Version: 2.3
Flags: --no-examples --no-tests
Check: package dependencies
Result: NOTE
    Package suggested but not available for checking: ‘xgboost’
Flavors: r-prerel-solaris-sparc, r-prerel-solaris-x86

Version: 2.3
Flags: --no-examples --no-tests
Check: dependencies in R code
Result: NOTE
    Missing or unexported object: ‘kohonen::predict.kohonen’
Flavors: r-prerel-solaris-sparc, r-prerel-solaris-x86

Version: 2.3
Check: dependencies in R code
Result: NOTE
    Missing or unexported object: 'kohonen::predict.kohonen'
    See the information on DESCRIPTION files in the chapter 'Creating R
    packages' of the 'Writing R Extensions' manual.
Flavor: r-oldrel-windows-ix86+x86_64

Version: 2.3
Check: R code for possible problems
Result: NOTE
    Error in inDL(x, as.logical(local), as.logical(now), ...) :
     unable to load shared object 'd:/RCompile/CRANpkg/lib/3.0/curl/libs/i386/curl.dll':
     `maximal number of DLLs reached...
Flavor: r-oldrel-windows-ix86+x86_64

Version: 2.3
Check: running examples for arch 'i386'
Result: ERROR
    Running examples in 'mlr-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: makeFilterWrapper
    > ### Title: Fuse learner with a feature filter method.
    > ### Aliases: makeFilterWrapper
    >
    > ### ** Examples
    >
    > task = makeClassifTask(data = iris, target = "Species")
    > lrn = makeLearner("classif.lda")
    > inner = makeResampleDesc("Holdout")
    > outer = makeResampleDesc("CV", iters = 2)
    > lrn = makeFilterWrapper(lrn, fw.perc = 0.5)
    > mod = train(lrn, task)
    Error in unlist(mclapply(1:ncol(dat), function(k) { :
     could not find function "mclapply"
    Calls: train ... <Anonymous> -> <Anonymous> -> rm.na.levels -> unlist
    Timing stopped at: 0.02 0 0.02
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 2.3
Check: running examples for arch 'x64'
Result: ERROR
    Running examples in 'mlr-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: makeFilterWrapper
    > ### Title: Fuse learner with a feature filter method.
    > ### Aliases: makeFilterWrapper
    >
    > ### ** Examples
    >
    > task = makeClassifTask(data = iris, target = "Species")
    > lrn = makeLearner("classif.lda")
    > inner = makeResampleDesc("Holdout")
    > outer = makeResampleDesc("CV", iters = 2)
    > lrn = makeFilterWrapper(lrn, fw.perc = 0.5)
    > mod = train(lrn, task)
    Error in unlist(mclapply(1:ncol(dat), function(k) { :
     could not find function "mclapply"
    Calls: train ... <Anonymous> -> <Anonymous> -> rm.na.levels -> unlist
    Timing stopped at: 0 0.01 0.02
    Execution halted
Flavor: r-oldrel-windows-ix86+x86_64