CRAN Package Check Results for Maintainer ‘Sebastian Fischer <sebf.fischer at gmail.com>’

Last updated on 2025-10-31 13:51:30 CET.

Package	ERROR	OK
mcboost		13
mlr3benchmark		13
mlr3fda		13
mlr3inferr		13
mlr3oml		13
mlr3torch	3	10

Package mcboost

Current CRAN status: OK: 13

Package mlr3benchmark

Current CRAN status: OK: 13

Package mlr3fda

Current CRAN status: OK: 13

Package mlr3inferr

Current CRAN status: OK: 13

Package mlr3oml

Current CRAN status: OK: 13

Package mlr3torch

Current CRAN status: ERROR: 3, OK: 10

Version: 0.3.1
Check: examples
Result: ERROR Running examples in 'mlr3torch-Ex.R' failed The error most likely occurred in: > ### Name: DataDescriptor > ### Title: Data Descriptor > ### Aliases: DataDescriptor > > ### ** Examples > > ## Don't show: > if (torch::torch_is_installed()) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf + ## End(Don't show) + # Create a dataset + ds = dataset( + initialize = function() self$x = torch_randn(10, 3, 3), + .getitem = function(i) list(x = self$x[i, ]), + .length = function() nrow(self$x) + )() + dd = DataDescriptor$new(ds, list(x = c(NA, 3, 3))) + dd + # is the same as using the converter: + as_data_descriptor(ds, list(x = c(NA, 3, 3))) + ## Don't show: + }) # examplesIf > ds = dataset(initialize = function() self$x = torch_randn(10, 3, 3), .getitem = function(i) list(x = self$x[i, + ]), .length = function() nrow(self$x))() Flavor: r-devel-windows-x86_64

Version: 0.3.1
Check: whether package can be installed
Result: WARN Found the following significant warnings: Warning: Torch libraries are installed but loading them caused a segfault. Flavor: r-release-windows-x86_64

Version: 0.3.1
Check: examples
Result: ERROR Running examples in 'mlr3torch-Ex.R' failed The error most likely occurred in: > ### Name: DataDescriptor > ### Title: Data Descriptor > ### Aliases: DataDescriptor > > ### ** Examples > > ## Don't show: > if (torch::torch_is_installed()) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf + ## End(Don't show) + # Create a dataset + ds = dataset( + initialize = function() self$x = torch_randn(10, 3, 3), + .getitem = function(i) list(x = self$x[i, ]), + .length = function() nrow(self$x) + )() + dd = DataDescriptor$new(ds, list(x = c(NA, 3, 3))) + dd + # is the same as using the converter: + as_data_descriptor(ds, list(x = c(NA, 3, 3))) + ## Don't show: + }) # examplesIf > ds = dataset(initialize = function() self$x = torch_randn(10, 3, 3), .getitem = function(i) list(x = self$x[i, + ]), .length = function() nrow(self$x))() Error in (function (size, options) : Lantern is not loaded. Please use `install_torch()` to install additional dependencies. Calls: <Anonymous> ... call_c_function -> do_call -> do.call -> <Anonymous> Execution halted Flavors: r-release-windows-x86_64, r-oldrel-windows-x86_64