i02momuj
commented
5 years ago Hello Cristian,
sorry for the huge delay. I have uploaded a new version of RKEEL (v 1.3.1) package to CRAN (up to date, it is available the source package, but in few days it should be compiled for Windows and MacOs). This version should have solved the issues that both you and many other people reported to me.
If you have any other issue, or if it occurs again, please, let me know; and also, sorry for the delay again.
Hello Jose,
i'm trying to rule and association rules learning algorithm, and i get this error
algoritmo <<- FuzzyApriori_A(SocioDemograficos2ImputadoKeel, MinimumSupport = 0.8) algoritmo$run()Executing algorithm... /tmp/RtmpXuqriS/experiment_2019-05-07_10-01-1697/results/KEELToPMML/TSTFuzzyApriori_A/result0s0file0.pmml Error! Error in private$readOutputs(paste0(private$mainPath, "/results/KEELToPMML/TST", : Results were not stored. Execution error.my sessionInfo()
`R version 3.5.3 (2019-03-11) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Linux Mint 19.1
Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1
locale: [1] LC_CTYPE=es_ES.UTF-8 LC_NUMERIC=C LC_TIME=es_ES.UTF-8 LC_COLLATE=es_ES.UTF-8
[5] LC_MONETARY=es_ES.UTF-8 LC_MESSAGES=es_ES.UTF-8 LC_PAPER=es_ES.UTF-8 LC_NAME=es_ES.UTF-8
[9] LC_ADDRESS=es_ES.UTF-8 LC_TELEPHONE=es_ES.UTF-8 LC_MEASUREMENT=es_ES.UTF-8 LC_IDENTIFICATION=es_ES.UTF-8
attached base packages: [1] grid stats graphics grDevices utils datasets methods base
other attached packages: [1] RKEEL_1.2.1 arulesViz_1.3-2 arules_1.6-3 VIM_4.8.0 colorspace_1.4-0 bnstruct_1.0.4 igraph_1.2.2
[8] Matrix_1.2-17 bitops_1.0-6 mice_3.3.0 missMDA_1.14 caret_6.0-81 lattice_0.20-38 phyloseq_1.24.2
[15] mltools_0.3.5 data.table_1.12.0 scales_1.0.0 tidyr_0.8.2 dplyr_0.8.0 ggthemr_1.1.0 ggplot2_3.1.0
loaded via a namespace (and not attached): [1] readxl_1.2.0 backports_1.1.3 RKEELdata_1.0.5 plyr_1.8.4 lazyeval_0.2.1 sp_1.3-1
[7] splines_3.5.3 digest_0.6.18 htmltools_0.3.6 foreach_1.4.4 viridis_0.5.1 gdata_2.18.0
[13] magrittr_1.5 cluster_2.0.8 doParallel_1.0.14 gclus_1.3.2 openxlsx_4.1.0 recipes_0.1.4
[19] Biostrings_2.48.0 gower_0.1.2 haven_2.0.0 pan_1.6 xfun_0.4 crayon_1.3.4
[25] jsonlite_1.6 lme4_1.1-20 survival_2.43-3 zoo_1.8-4 iterators_1.0.10 ape_5.2
[31] glue_1.3.0 registry_0.5-1 gtable_0.2.0 ipred_0.9-8 zlibbioc_1.26.0 XVector_0.20.0
[37] kernlab_0.9-27 car_3.0-2 Rhdf5lib_1.2.1 prabclus_2.2-7 BiocGenerics_0.28.0 DEoptimR_1.0-8
[43] jomo_2.6-7 abind_1.4-5 mvtnorm_1.0-8 Rcpp_1.0.0 viridisLite_0.3.0 laeken_0.5.0
[49] flashClust_1.01-2 foreign_0.8-70 mclust_5.4.2 DT_0.5 stats4_3.5.3 lava_1.6.4
[55] prodlim_2018.04.18 vcd_1.4-4 httr_1.4.0 htmlwidgets_1.3 gplots_3.0.1.1 fpc_2.1-11.1
[61] modeltools_0.2-22 rJava_0.9-11 XML_3.98-1.17 pkgconfig_2.0.2 flexmix_2.3-14 nnet_7.3-12
[67] tidyselect_0.2.5 labeling_0.3 rlang_0.3.1 reshape2_1.4.3 visNetwork_2.0.6 munsell_0.5.0
[73] cellranger_1.1.0 tools_3.5.3 downloader_0.4 generics_0.0.2 ade4_1.7-13 ranger_0.11.1
[79] broom_0.5.1 biomformat_1.8.0 stringr_1.4.0 yaml_2.2.0 ModelMetrics_1.2.2 knitr_1.21
[85] zip_1.0.0 robustbase_0.93-3 caTools_1.17.1.1 purrr_0.3.0 mitml_0.3-7 dendextend_1.10.0
[91] nlme_3.1-139 whisker_0.3-2 leaps_3.0 compiler_3.5.3 rstudioapi_0.9.0 plotly_4.8.0
[97] curl_3.3 e1071_1.7-0.1 tibble_2.0.1 stringi_1.2.4 forcats_0.3.0 trimcluster_0.1-2.1 [103] nloptr_1.2.1 vegan_2.5-4 permute_0.9-4 multtest_2.36.0 pillar_1.3.1 lmtest_0.9-36
[109] seriation_1.2-3 R6_2.3.0 TSP_1.1-6 gridExtra_2.3 KernSmooth_2.23-15 rio_0.5.16
[115] IRanges_2.16.0 codetools_0.2-16 boot_1.3-20 MASS_7.3-51.1 gtools_3.8.1 assertthat_0.2.0
[121] rhdf5_2.24.0 withr_2.1.2 S4Vectors_0.20.1 diptest_0.75-7 mgcv_1.8-28 parallel_3.5.3
[127] hms_0.4.2 rpart_4.1-13 timeDate_3043.102 class_7.3-15 minqa_1.2.4 carData_3.0-2
[133] RKEELjars_1.0.19 scatterplot3d_0.3-41 Biobase_2.40.0 lubridate_1.7.4 FactoMineR_1.41 `
Thanks