i02momuj / RKEEL

RKEEL: Using Keel in R code
http://doi.org/10.1109/fuzz-ieee.2016.7737695
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Error in algorithm$run(): "Results were not stored. Execution error" #1

Closed aarzalluz closed 5 years ago

aarzalluz commented 6 years ago

Hi Jose,

I'm beginning to use the RKEEL package for association rule mining. I have tried a few of the algorithms as a way to get my feet wet, but it keeps throwing the following error while running:

java -jar RunKeel.jar
/tmp/RtmpZiGHQa/experiment_2018-02-26_15-15-204698/results/KEELToPMML/TSTFPgrowth_A/result0s0file0.pmml
Error! Error in private$readOutputs(paste0(private$mainPath, "/results/KEELToPMML/TST", : Results were not stored. Execution error.

I have been skimming through the area of the function code from which the error is produced, but I honestly don't know how to make sense of it. It is not clear to me whether the results were indeed not generated, and the issue is in the data, or they couldn't be stored due to some system-level error, concerning the paths maybe?

This is my sessionInfo() at the time of the error:

R version 3.4.3 (2017-11-30)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04.3 LTS

Matrix products: default
BLAS: /usr/lib/libblas/libblas.so.3.6.0
LAPACK: /usr/lib/lapack/liblapack.so.3.6.0

locale:
 [1] LC_CTYPE=en_US.UTF-8          LC_NUMERIC=C                  LC_TIME=es_ES.UTF-8           LC_COLLATE=en_US.UTF-8       
 [5] LC_MONETARY=es_ES.UTF-8       LC_MESSAGES=en_US.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] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] RKEEL_1.1.22

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.15      RKEELdata_1.0.3   munsell_0.4.3     doParallel_1.0.11 colorspace_1.3-2  lattice_0.20-35   R6_2.2.2         
 [8] rlang_0.2.0       foreach_1.4.4     plyr_1.8.4        tools_3.4.3       parallel_3.4.3    grid_3.4.3        gtable_0.2.0     
[15] iterators_1.0.9   gtools_3.5.0      yaml_2.1.16       lazyeval_0.2.1    digest_0.6.15     tibble_1.4.2      Matrix_1.2-11    
[22] rJava_0.9-9       ggplot2_2.2.1     codetools_0.2-15  gdata_2.18.0      compiler_3.4.3    downloader_0.4    pillar_1.1.0     
[29] RKEELjars_1.0.15  scales_0.5.0      XML_3.98-1.10    

I would really appreciate it if you could give me your input and help me figure it out. Thank you in advance,

Ángeles

i02momuj commented 5 years ago

Hi, this error, and some other of the same type were corrected in the last version of RKEEL submitted to CRAN. So, this error should not happen again.

If it continue failing, pelase let us know.

cristianrohr commented 5 years ago

Hello, i'm having this same error

this is 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
[3] 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
[7] 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
[11] LC_MEASUREMENT=es_ES.UTF-8 LC_IDENTIFICATION=es_ES.UTF-8

attached base packages: [1] grid stats graphics grDevices utils datasets [7] methods base

other attached packages: [1] RKEEL_1.2.7 VIM_4.8.0 colorspace_1.4-0 [4] bnstruct_1.0.4 igraph_1.2.2 Matrix_1.2-17
[7] bitops_1.0-6 mice_3.3.0 missMDA_1.14
[10] caret_6.0-81 lattice_0.20-38 phyloseq_1.24.2
[13] mltools_0.3.5 data.table_1.12.0 scales_1.0.0
[16] tidyr_0.8.2 dplyr_0.8.0 ggthemr_1.1.0
[19] ggplot2_3.1.0

loaded via a namespace (and not attached): [1] minqa_1.2.4 class_7.3-15 rio_0.5.16
[4] XVector_0.20.0 rstudioapi_0.9.0 prodlim_2018.04.18
[7] mvtnorm_1.0-8 lubridate_1.7.4 ranger_0.11.1
[10] codetools_0.2-16 splines_3.5.3 leaps_3.0
[13] doParallel_1.0.14 robustbase_0.93-3 knitr_1.21
[16] ade4_1.7-13 jsonlite_1.6 nloptr_1.2.1
[19] rJava_0.9-11 RKEELdata_1.0.5 broom_0.5.1
[22] cluster_2.0.8 RKEELjars_1.0.19 compiler_3.5.3
[25] backports_1.1.3 assertthat_0.2.0 lazyeval_0.2.1
[28] tools_3.5.3 gtable_0.2.0 glue_1.3.0
[31] reshape2_1.4.3 FactoMineR_1.41 Rcpp_1.0.0
[34] carData_3.0-2 Biobase_2.40.0 cellranger_1.1.0
[37] Biostrings_2.48.0 multtest_2.36.0 gdata_2.18.0
[40] ape_5.2 nlme_3.1-139 iterators_1.0.10
[43] lmtest_0.9-36 timeDate_3043.102 laeken_0.5.0
[46] gower_0.1.2 xfun_0.4 stringr_1.4.0
[49] openxlsx_4.1.0 lme4_1.1-20 gtools_3.8.1
[52] XML_3.98-1.17 pan_1.6 DEoptimR_1.0-8
[55] zoo_1.8-4 zlibbioc_1.26.0 MASS_7.3-51.1
[58] ipred_0.9-8 hms_0.4.2 parallel_3.5.3
[61] biomformat_1.8.0 rhdf5_2.24.0 yaml_2.2.0
[64] curl_3.3 downloader_0.4 rpart_4.1-13
[67] stringi_1.2.4 S4Vectors_0.20.1 foreach_1.4.4
[70] e1071_1.7-0.1 permute_0.9-4 BiocGenerics_0.28.0 [73] boot_1.3-20 zip_1.0.0 lava_1.6.4
[76] rlang_0.3.1 pkgconfig_2.0.2 purrr_0.3.0
[79] Rhdf5lib_1.2.1 recipes_0.1.4 labeling_0.3
[82] tidyselect_0.2.5 plyr_1.8.4 magrittr_1.5
[85] R6_2.3.0 IRanges_2.16.0 generics_0.0.2
[88] mitml_0.3-7 pillar_1.3.1 haven_2.0.0
[91] foreign_0.8-70 withr_2.1.2 mgcv_1.8-28
[94] abind_1.4-5 survival_2.43-3 scatterplot3d_0.3-41 [97] sp_1.3-1 nnet_7.3-12 tibble_2.0.1
[100] crayon_1.3.4 car_3.0-2 jomo_2.6-7
[103] readxl_1.2.0 vegan_2.5-4 forcats_0.3.0
[106] ModelMetrics_1.2.2 vcd_1.4-4 digest_0.6.18
[109] flashClust_1.01-2 stats4_3.5.3 munsell_0.5.0