##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:HPiP.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings HPiP_1.11.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.20-bioc/meat/HPiP.Rcheck’
* using R version 4.4.0 Patched (2024-04-24 r86482)
* using platform: x86_64-apple-darwin20
* R was compiled by
    Apple clang version 14.0.0 (clang-1400.0.29.202)
    GNU Fortran (GCC) 12.2.0
* running under: macOS Monterey 12.7.4
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.11.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘HPiP’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... NOTE
License stub is invalid DCF.
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... NOTE
checkRd: (-1) getHPI.Rd:29: Lost braces
    29 | then the Kronecker product is the code{(pm × qn)} block matrix
       |                                       ^
* checking Rd metadata ... OK
* checking Rd cross-references ... NOTE
Package unavailable to check Rd xrefs: ‘ftrCOOL’
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking R/sysdata.rda ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... ERROR
Running examples in ‘HPiP-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: enrichfindP
> ### Title: Functional Enrichment Analysis for Pathogen Interactors in the
> ###   High-Confidence Network.
> ### Aliases: enrichfindP
> 
> ### ** Examples
> 
> data('predicted_PPIs')
> #perform enrichment
> enrich.df <- enrichfindP(predicted_PPIs,
+ threshold = 0.05,
+ sources = c("GO", "KEGG"),
+ p.corrction.method = "bonferroni",
+ org = "hsapiens")
Error in function (type, msg, asError = TRUE)  : 
  Failed to connect to biit.cs.ut.ee port 80 after 150005 ms: Couldn't connect to server
Calls: enrichfindP ... gprofiler_request -> <Anonymous> -> <Anonymous> -> fun
Execution halted
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘runTests.R’
 ERROR
Running the tests in ‘tests/runTests.R’ failed.
Last 13 lines of output:
   
  1 Test Suite : 
  HPiP RUnit Tests - 7 test functions, 1 error, 0 failures
  ERROR in test_enrich.df: Error in function (type, msg, asError = TRUE)  : 
    Failed to connect to biit.cs.ut.ee port 80 after 150003 ms: Couldn't connect to server
  
  Test files with failing tests
  
     test_enrich.df.R 
       test_enrich.df 
  
  
  Error in BiocGenerics:::testPackage("HPiP") : 
    unit tests failed for package HPiP
  Execution halted
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 2 ERRORs, 3 NOTEs
See
  ‘/Users/biocbuild/bbs-3.20-bioc/meat/HPiP.Rcheck/00check.log’
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL HPiP
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/library’
* installing *source* package ‘HPiP’ ...
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (HPiP)

R version 4.4.0 Patched (2024-04-24 r86482) -- "Puppy Cup"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> BiocGenerics:::testPackage('HPiP')
Timing stopped at: 1.022 0.061 377.9
Error in function (type, msg, asError = TRUE)  : 
  Failed to connect to biit.cs.ut.ee port 80 after 150003 ms: Couldn't connect to server
avNNet
Loading required package: ggplot2
Loading required package: lattice
Fitting Repeat 1 

# weights:  103
initial  value 95.844681 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.641920 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.025479 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.029848 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.520886 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 100.736693 
iter  10 value 93.775300
final  value 93.775294 
converged
Fitting Repeat 2 

# weights:  305
initial  value 110.761191 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 97.907339 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 111.600596 
final  value 94.312038 
converged
Fitting Repeat 5 

# weights:  305
initial  value 99.249254 
final  value 94.466823 
converged
Fitting Repeat 1 

# weights:  507
initial  value 116.776370 
iter  10 value 94.466823
iter  10 value 94.466823
iter  10 value 94.466823
final  value 94.466823 
converged
Fitting Repeat 2 

# weights:  507
initial  value 116.628324 
iter  10 value 94.452516
final  value 94.446638 
converged
Fitting Repeat 3 

# weights:  507
initial  value 114.655375 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  507
initial  value 100.123437 
final  value 94.466823 
converged
Fitting Repeat 5 

# weights:  507
initial  value 107.371953 
iter  10 value 94.132813
iter  20 value 94.129949
final  value 94.129919 
converged
Fitting Repeat 1 

# weights:  103
initial  value 100.338376 
iter  10 value 94.188477
iter  20 value 87.425078
iter  30 value 85.630229
iter  40 value 84.058854
iter  50 value 84.011847
iter  60 value 83.984841
iter  70 value 83.951833
iter  80 value 83.924003
final  value 83.923879 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.483702 
iter  10 value 94.475722
iter  20 value 94.304781
iter  30 value 88.336839
iter  40 value 87.210915
iter  50 value 86.400300
iter  60 value 85.085701
iter  70 value 84.699730
iter  80 value 84.412672
iter  90 value 84.392358
final  value 84.392320 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.073429 
iter  10 value 94.488352
iter  20 value 94.487283
iter  30 value 93.235210
iter  40 value 87.625481
iter  50 value 86.466389
iter  60 value 85.875938
iter  70 value 85.716279
iter  80 value 85.597815
iter  90 value 83.376951
iter 100 value 81.655353
final  value 81.655353 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 97.365954 
iter  10 value 94.485463
iter  20 value 94.268518
iter  30 value 87.126198
iter  40 value 85.534238
iter  50 value 85.145632
iter  60 value 83.542609
iter  70 value 83.268036
iter  80 value 83.024867
iter  90 value 82.664813
iter 100 value 81.993793
final  value 81.993793 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 99.240027 
iter  10 value 94.501490
iter  20 value 87.850460
iter  30 value 86.247580
iter  40 value 85.947401
iter  50 value 85.681739
iter  60 value 85.117014
iter  70 value 84.934699
final  value 84.933811 
converged
Fitting Repeat 1 

# weights:  305
initial  value 112.937666 
iter  10 value 94.621269
iter  20 value 93.260790
iter  30 value 92.454412
iter  40 value 92.419379
iter  50 value 91.602288
iter  60 value 90.999035
iter  70 value 88.799500
iter  80 value 85.490362
iter  90 value 82.835279
iter 100 value 82.334955
final  value 82.334955 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 110.205622 
iter  10 value 94.421774
iter  20 value 85.913665
iter  30 value 84.986327
iter  40 value 82.274932
iter  50 value 80.415545
iter  60 value 80.139607
iter  70 value 80.095559
iter  80 value 80.057127
iter  90 value 80.013957
iter 100 value 79.863848
final  value 79.863848 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 100.794461 
iter  10 value 90.961054
iter  20 value 83.963538
iter  30 value 82.883597
iter  40 value 82.228335
iter  50 value 81.670797
iter  60 value 80.576492
iter  70 value 80.301596
iter  80 value 80.178981
iter  90 value 80.101467
iter 100 value 80.089310
final  value 80.089310 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 102.877465 
iter  10 value 94.569857
iter  20 value 85.475997
iter  30 value 84.522058
iter  40 value 84.053094
iter  50 value 82.727403
iter  60 value 82.127648
iter  70 value 82.076897
iter  80 value 81.993012
iter  90 value 80.603845
iter 100 value 80.257195
final  value 80.257195 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 121.303981 
iter  10 value 94.427864
iter  20 value 92.533252
iter  30 value 86.974389
iter  40 value 84.136337
iter  50 value 81.949525
iter  60 value 81.221573
iter  70 value 81.080196
iter  80 value 80.995699
iter  90 value 80.806438
iter 100 value 80.585194
final  value 80.585194 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 108.955482 
iter  10 value 93.865911
iter  20 value 90.531002
iter  30 value 87.202446
iter  40 value 85.572975
iter  50 value 85.017732
iter  60 value 83.778924
iter  70 value 81.219175
iter  80 value 80.745130
iter  90 value 80.313815
iter 100 value 80.173137
final  value 80.173137 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 120.351314 
iter  10 value 93.889831
iter  20 value 86.502909
iter  30 value 85.234630
iter  40 value 84.402472
iter  50 value 82.088093
iter  60 value 80.475064
iter  70 value 80.204319
iter  80 value 79.957089
iter  90 value 79.751788
iter 100 value 79.683642
final  value 79.683642 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 111.132748 
iter  10 value 94.384730
iter  20 value 90.547035
iter  30 value 86.443391
iter  40 value 85.774472
iter  50 value 83.352798
iter  60 value 82.854890
iter  70 value 82.133937
iter  80 value 81.984551
iter  90 value 81.621839
iter 100 value 81.449076
final  value 81.449076 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 111.897846 
iter  10 value 95.724960
iter  20 value 94.078434
iter  30 value 90.795804
iter  40 value 89.517216
iter  50 value 86.846691
iter  60 value 84.557185
iter  70 value 83.478438
iter  80 value 83.224449
iter  90 value 82.351047
iter 100 value 80.296121
final  value 80.296121 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 110.013445 
iter  10 value 94.929368
iter  20 value 94.127023
iter  30 value 88.497764
iter  40 value 84.359620
iter  50 value 83.981162
iter  60 value 83.633724
iter  70 value 82.958299
iter  80 value 81.953342
iter  90 value 81.602401
iter 100 value 81.527525
final  value 81.527525 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 105.136705 
final  value 94.485883 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.789827 
final  value 94.485940 
converged
Fitting Repeat 3 

# weights:  103
initial  value 104.016442 
final  value 94.485888 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.275996 
iter  10 value 94.307542
iter  20 value 94.307111
iter  30 value 94.306711
iter  40 value 94.254906
final  value 94.254899 
converged
Fitting Repeat 5 

# weights:  103
initial  value 99.989018 
final  value 94.485959 
converged
Fitting Repeat 1 

# weights:  305
initial  value 101.756473 
iter  10 value 94.489032
iter  20 value 94.462705
iter  30 value 93.590587
final  value 93.581705 
converged
Fitting Repeat 2 

# weights:  305
initial  value 107.706678 
iter  10 value 94.487084
iter  20 value 94.484257
final  value 94.484239 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.015022 
iter  10 value 94.471830
iter  20 value 94.304235
iter  30 value 94.246054
iter  40 value 93.631739
iter  50 value 91.669604
iter  60 value 91.648564
final  value 91.648436 
converged
Fitting Repeat 4 

# weights:  305
initial  value 100.324919 
iter  10 value 94.487939
iter  20 value 93.966688
final  value 93.783863 
converged
Fitting Repeat 5 

# weights:  305
initial  value 109.029016 
iter  10 value 94.428028
iter  20 value 94.390307
iter  30 value 94.388634
iter  40 value 94.204213
final  value 94.202133 
converged
Fitting Repeat 1 

# weights:  507
initial  value 94.810596 
iter  10 value 94.488089
iter  20 value 86.406543
final  value 84.588651 
converged
Fitting Repeat 2 

# weights:  507
initial  value 115.192993 
iter  10 value 94.474450
iter  20 value 94.429575
iter  30 value 89.986118
iter  40 value 85.436553
iter  50 value 85.350514
iter  60 value 82.546296
final  value 82.539441 
converged
Fitting Repeat 3 

# weights:  507
initial  value 98.386389 
iter  10 value 91.922841
iter  20 value 86.707570
iter  30 value 86.697672
iter  40 value 83.294804
iter  50 value 83.120341
iter  60 value 82.968526
iter  70 value 81.593208
iter  80 value 81.499982
iter  90 value 81.498480
iter 100 value 81.496071
final  value 81.496071 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 100.710192 
iter  10 value 94.282998
iter  20 value 94.245203
iter  30 value 93.997713
iter  40 value 92.515268
iter  50 value 92.002293
iter  60 value 91.688214
iter  70 value 91.475839
iter  70 value 91.475839
iter  70 value 91.475839
final  value 91.475839 
converged
Fitting Repeat 5 

# weights:  507
initial  value 116.277826 
iter  10 value 94.492306
iter  20 value 94.469505
iter  30 value 93.784526
iter  40 value 93.760478
iter  50 value 87.177422
iter  60 value 84.273629
iter  70 value 84.250433
iter  70 value 84.250432
final  value 84.250432 
converged
Fitting Repeat 1 

# weights:  103
initial  value 96.442997 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 118.180301 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.837184 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 103.178449 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.025180 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 99.863661 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 95.279552 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 126.950167 
iter  10 value 93.294990
iter  20 value 92.933302
iter  30 value 92.898067
final  value 92.898064 
converged
Fitting Repeat 4 

# weights:  305
initial  value 95.021641 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 95.527873 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 111.584372 
iter  10 value 92.933334
iter  10 value 92.933333
iter  10 value 92.933333
final  value 92.933333 
converged
Fitting Repeat 2 

# weights:  507
initial  value 114.860928 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  507
initial  value 100.747502 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  507
initial  value 101.495983 
iter  10 value 93.725137
iter  20 value 91.933009
iter  30 value 90.396977
iter  40 value 90.304204
iter  50 value 90.303091
final  value 90.303031 
converged
Fitting Repeat 5 

# weights:  507
initial  value 108.473603 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  103
initial  value 102.743057 
iter  10 value 93.989173
iter  20 value 93.675293
iter  30 value 93.234821
iter  40 value 90.518449
iter  50 value 87.722399
iter  60 value 87.068592
iter  70 value 86.429685
iter  80 value 83.906484
iter  90 value 83.627757
iter 100 value 83.610146
final  value 83.610146 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 102.754349 
iter  10 value 93.852676
iter  20 value 93.147289
iter  30 value 93.109528
iter  40 value 92.617715
iter  50 value 88.291837
iter  60 value 86.645028
iter  70 value 86.217160
iter  80 value 86.114526
iter  90 value 85.907202
iter 100 value 83.728119
final  value 83.728119 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 100.376650 
iter  10 value 94.218219
iter  20 value 94.056650
iter  30 value 93.967016
iter  40 value 93.797171
iter  50 value 93.796954
iter  60 value 93.677682
iter  70 value 93.010509
iter  80 value 88.807878
iter  90 value 88.102503
iter 100 value 85.926471
final  value 85.926471 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 96.263316 
iter  10 value 94.056666
iter  20 value 93.433712
iter  30 value 89.150593
iter  40 value 88.777157
iter  50 value 88.647510
iter  60 value 87.990990
iter  70 value 86.261905
iter  80 value 85.767780
iter  90 value 85.714582
final  value 85.703060 
converged
Fitting Repeat 5 

# weights:  103
initial  value 102.028322 
iter  10 value 94.064043
iter  20 value 94.057352
iter  30 value 94.056744
iter  40 value 93.898078
iter  50 value 90.502787
iter  60 value 86.441999
iter  70 value 85.890617
iter  80 value 85.848694
iter  90 value 85.820918
iter 100 value 85.597508
final  value 85.597508 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 109.361900 
iter  10 value 94.031838
iter  20 value 91.067724
iter  30 value 86.114466
iter  40 value 85.932027
iter  50 value 85.433644
iter  60 value 84.125967
iter  70 value 83.957996
iter  80 value 83.712839
iter  90 value 82.857502
iter 100 value 82.700065
final  value 82.700065 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 109.625519 
iter  10 value 94.168869
iter  20 value 92.528741
iter  30 value 89.519542
iter  40 value 87.994764
iter  50 value 87.063041
iter  60 value 85.711851
iter  70 value 84.539820
iter  80 value 84.121528
iter  90 value 83.144353
iter 100 value 83.025660
final  value 83.025660 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 102.141069 
iter  10 value 94.040131
iter  20 value 93.262627
iter  30 value 90.903058
iter  40 value 87.458910
iter  50 value 87.110288
iter  60 value 85.861873
iter  70 value 84.277230
iter  80 value 83.786462
iter  90 value 83.679817
iter 100 value 83.458500
final  value 83.458500 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 114.031931 
iter  10 value 94.022631
iter  20 value 93.249197
iter  30 value 92.191183
iter  40 value 89.281844
iter  50 value 88.381986
iter  60 value 85.480073
iter  70 value 83.918561
iter  80 value 82.981197
iter  90 value 82.956949
iter 100 value 82.898612
final  value 82.898612 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 110.133074 
iter  10 value 94.128740
iter  20 value 91.865650
iter  30 value 89.831226
iter  40 value 89.243751
iter  50 value 88.979629
iter  60 value 86.695340
iter  70 value 83.774407
iter  80 value 82.955920
iter  90 value 82.886926
iter 100 value 82.707370
final  value 82.707370 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 103.724746 
iter  10 value 94.089055
iter  20 value 91.289250
iter  30 value 87.146580
iter  40 value 83.628591
iter  50 value 82.978214
iter  60 value 82.421636
iter  70 value 82.108213
iter  80 value 82.052606
iter  90 value 81.992998
iter 100 value 81.920154
final  value 81.920154 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 111.261090 
iter  10 value 93.932274
iter  20 value 92.452074
iter  30 value 90.806830
iter  40 value 83.461603
iter  50 value 82.886774
iter  60 value 82.766786
iter  70 value 82.722802
iter  80 value 82.691498
iter  90 value 82.571122
iter 100 value 82.502889
final  value 82.502889 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 108.325001 
iter  10 value 94.076833
iter  20 value 90.544065
iter  30 value 89.181289
iter  40 value 88.707039
iter  50 value 86.097874
iter  60 value 85.805869
iter  70 value 85.324995
iter  80 value 83.451157
iter  90 value 83.145187
iter 100 value 83.022035
final  value 83.022035 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 116.498105 
iter  10 value 93.608047
iter  20 value 89.488820
iter  30 value 85.033946
iter  40 value 83.423428
iter  50 value 83.213830
iter  60 value 82.997405
iter  70 value 82.952158
iter  80 value 82.945788
iter  90 value 82.881351
iter 100 value 82.478595
final  value 82.478595 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 104.971304 
iter  10 value 94.074199
iter  20 value 92.363386
iter  30 value 86.978767
iter  40 value 84.517893
iter  50 value 83.429972
iter  60 value 83.051453
iter  70 value 82.738330
iter  80 value 82.503236
iter  90 value 82.461643
iter 100 value 82.204957
final  value 82.204957 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 95.309278 
final  value 94.054467 
converged
Fitting Repeat 2 

# weights:  103
initial  value 100.597752 
final  value 94.054724 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.494298 
final  value 94.054714 
converged
Fitting Repeat 4 

# weights:  103
initial  value 94.864514 
final  value 94.054623 
converged
Fitting Repeat 5 

# weights:  103
initial  value 106.473595 
final  value 94.054469 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.931033 
iter  10 value 94.057494
iter  20 value 93.881859
iter  30 value 88.596019
iter  40 value 84.944843
iter  50 value 83.016897
iter  60 value 82.566093
iter  70 value 81.173549
iter  80 value 80.666612
iter  90 value 80.615381
iter 100 value 80.602879
final  value 80.602879 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 104.549749 
iter  10 value 93.814435
iter  20 value 93.754867
iter  30 value 93.648384
iter  30 value 93.648383
iter  30 value 93.648383
final  value 93.648383 
converged
Fitting Repeat 3 

# weights:  305
initial  value 100.179334 
iter  10 value 94.058249
iter  20 value 91.583560
iter  30 value 91.258302
iter  40 value 91.254010
iter  50 value 90.005890
iter  60 value 87.628694
iter  70 value 87.489080
iter  80 value 85.552376
iter  90 value 84.983417
iter 100 value 84.974007
final  value 84.974007 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 123.163762 
iter  10 value 93.678057
iter  20 value 93.675111
iter  30 value 93.578279
iter  40 value 92.942272
iter  50 value 92.929982
iter  60 value 92.923483
iter  70 value 92.918810
final  value 92.918808 
converged
Fitting Repeat 5 

# weights:  305
initial  value 95.653889 
iter  10 value 94.058243
iter  20 value 94.050967
iter  20 value 94.050966
iter  30 value 93.646441
iter  40 value 93.603084
iter  40 value 93.603084
final  value 93.603055 
converged
Fitting Repeat 1 

# weights:  507
initial  value 100.357222 
iter  10 value 94.060208
iter  20 value 93.851686
iter  30 value 92.901177
final  value 92.898854 
converged
Fitting Repeat 2 

# weights:  507
initial  value 115.031571 
iter  10 value 91.267013
iter  20 value 91.261519
iter  30 value 90.470897
iter  40 value 90.468068
iter  50 value 90.466153
iter  60 value 90.096593
iter  70 value 89.645246
iter  80 value 89.244446
iter  90 value 89.242285
iter 100 value 89.242054
final  value 89.242054 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 100.790622 
iter  10 value 88.429439
iter  20 value 87.170639
iter  30 value 86.428641
iter  40 value 86.322199
iter  50 value 85.441100
iter  60 value 84.923094
iter  70 value 84.570630
iter  80 value 83.057384
iter  90 value 82.524579
iter 100 value 82.521462
final  value 82.521462 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 97.270384 
iter  10 value 94.059972
iter  20 value 93.793640
iter  30 value 92.898421
final  value 92.898417 
converged
Fitting Repeat 5 

# weights:  507
initial  value 108.363146 
iter  10 value 94.063100
iter  20 value 94.036579
iter  30 value 93.680759
iter  40 value 93.371042
iter  50 value 91.413227
iter  60 value 91.139329
iter  70 value 86.172345
iter  80 value 85.999250
final  value 85.998939 
converged
Fitting Repeat 1 

# weights:  103
initial  value 97.697734 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 111.955162 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 100.535887 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 103.599082 
final  value 94.466823 
converged
Fitting Repeat 5 

# weights:  103
initial  value 94.627005 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 94.984006 
iter  10 value 92.252618
iter  20 value 84.077530
iter  30 value 80.340737
iter  40 value 80.104085
iter  50 value 80.096057
iter  60 value 80.095125
final  value 80.095117 
converged
Fitting Repeat 2 

# weights:  305
initial  value 102.753421 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 95.576171 
final  value 94.466823 
converged
Fitting Repeat 4 

# weights:  305
initial  value 110.503749 
iter  10 value 86.856218
iter  20 value 86.679959
iter  30 value 83.473812
iter  40 value 83.126179
iter  50 value 82.546466
iter  60 value 81.768165
iter  70 value 80.124375
final  value 80.124370 
converged
Fitting Repeat 5 

# weights:  305
initial  value 104.354739 
final  value 94.466823 
converged
Fitting Repeat 1 

# weights:  507
initial  value 127.538793 
iter  10 value 93.117463
final  value 93.109890 
converged
Fitting Repeat 2 

# weights:  507
initial  value 107.869977 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  507
initial  value 122.856609 
iter  10 value 87.662158
iter  20 value 85.936864
final  value 85.936554 
converged
Fitting Repeat 4 

# weights:  507
initial  value 108.732079 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  507
initial  value 100.064625 
final  value 94.288300 
converged
Fitting Repeat 1 

# weights:  103
initial  value 102.826136 
iter  10 value 94.483130
iter  20 value 88.471337
iter  30 value 84.949919
iter  40 value 84.587215
iter  50 value 84.342301
iter  60 value 83.073925
iter  70 value 82.708114
iter  80 value 82.701685
final  value 82.701614 
converged
Fitting Repeat 2 

# weights:  103
initial  value 100.820217 
iter  10 value 94.488817
iter  10 value 94.488816
iter  20 value 93.060894
iter  30 value 91.861032
iter  40 value 84.956432
iter  50 value 84.381798
iter  60 value 82.525904
iter  70 value 82.003803
final  value 82.001341 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.235895 
iter  10 value 94.393365
iter  20 value 93.628896
iter  30 value 93.472325
iter  40 value 85.504849
iter  50 value 83.365148
iter  60 value 83.159511
iter  70 value 82.715319
iter  80 value 82.701614
iter  80 value 82.701614
iter  80 value 82.701614
final  value 82.701614 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.243712 
iter  10 value 94.493871
iter  20 value 94.446861
iter  30 value 91.366411
iter  40 value 84.488240
iter  50 value 82.367072
iter  60 value 80.933161
iter  70 value 80.808812
iter  80 value 80.532759
iter  90 value 80.475075
final  value 80.474955 
converged
Fitting Repeat 5 

# weights:  103
initial  value 102.591303 
iter  10 value 94.481745
iter  20 value 92.353773
iter  30 value 88.255593
iter  40 value 80.959980
iter  50 value 79.740624
iter  60 value 79.227509
iter  70 value 79.150214
iter  80 value 78.456631
iter  90 value 78.371212
iter 100 value 78.370386
final  value 78.370386 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 98.761491 
iter  10 value 94.891604
iter  20 value 90.694060
iter  30 value 89.647431
iter  40 value 89.299833
iter  50 value 87.828428
iter  60 value 84.512237
iter  70 value 81.595489
iter  80 value 80.122790
iter  90 value 79.636828
iter 100 value 78.418268
final  value 78.418268 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 104.253046 
iter  10 value 97.856833
iter  20 value 94.516696
iter  30 value 94.308424
iter  40 value 89.662914
iter  50 value 88.044871
iter  60 value 86.826320
iter  70 value 85.285499
iter  80 value 82.537223
iter  90 value 79.822601
iter 100 value 79.596969
final  value 79.596969 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 107.656407 
iter  10 value 94.573315
iter  20 value 88.412901
iter  30 value 84.466890
iter  40 value 83.562126
iter  50 value 83.487625
iter  60 value 81.041091
iter  70 value 80.687625
iter  80 value 80.604266
iter  90 value 80.554125
iter 100 value 80.373951
final  value 80.373951 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 102.534735 
iter  10 value 89.214869
iter  20 value 86.659761
iter  30 value 84.750107
iter  40 value 84.653494
iter  50 value 84.578951
iter  60 value 84.496742
iter  70 value 83.965701
iter  80 value 81.061654
iter  90 value 80.692608
iter 100 value 79.287213
final  value 79.287213 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 106.144918 
iter  10 value 94.512362
iter  20 value 94.267515
iter  30 value 91.581942
iter  40 value 89.192658
iter  50 value 87.329193
iter  60 value 81.025533
iter  70 value 78.118624
iter  80 value 76.862355
iter  90 value 76.639301
iter 100 value 76.529432
final  value 76.529432 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 106.371006 
iter  10 value 98.074948
iter  20 value 94.359773
iter  30 value 85.164316
iter  40 value 81.195810
iter  50 value 81.041086
iter  60 value 79.407806
iter  70 value 79.245959
iter  80 value 79.121561
iter  90 value 78.756316
iter 100 value 78.422847
final  value 78.422847 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.481700 
iter  10 value 92.131235
iter  20 value 82.795189
iter  30 value 80.249139
iter  40 value 78.866592
iter  50 value 78.424098
iter  60 value 78.087698
iter  70 value 77.777691
iter  80 value 77.362095
iter  90 value 76.915892
iter 100 value 76.620473
final  value 76.620473 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 119.370953 
iter  10 value 94.554056
iter  20 value 83.652450
iter  30 value 82.081600
iter  40 value 81.172460
iter  50 value 80.965851
iter  60 value 79.112913
iter  70 value 78.011501
iter  80 value 77.601066
iter  90 value 77.033386
iter 100 value 76.958162
final  value 76.958162 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 128.680661 
iter  10 value 95.069584
iter  20 value 94.287898
iter  30 value 86.677143
iter  40 value 84.832291
iter  50 value 84.534729
iter  60 value 84.452584
iter  70 value 83.752432
iter  80 value 80.341001
iter  90 value 79.069548
iter 100 value 78.964508
final  value 78.964508 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 133.785453 
iter  10 value 100.529691
iter  20 value 91.661273
iter  30 value 87.424322
iter  40 value 82.953146
iter  50 value 81.127452
iter  60 value 80.500485
iter  70 value 80.131806
iter  80 value 79.252389
iter  90 value 78.221441
iter 100 value 76.979560
final  value 76.979560 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 96.373773 
final  value 94.486022 
converged
Fitting Repeat 2 

# weights:  103
initial  value 105.243200 
final  value 94.486153 
converged
Fitting Repeat 3 

# weights:  103
initial  value 110.470098 
final  value 94.485953 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.610540 
final  value 94.485639 
converged
Fitting Repeat 5 

# weights:  103
initial  value 99.497274 
iter  10 value 94.485697
iter  20 value 94.480350
iter  30 value 93.216453
final  value 93.110713 
converged
Fitting Repeat 1 

# weights:  305
initial  value 116.951400 
iter  10 value 94.471372
iter  20 value 94.467763
iter  30 value 94.466941
iter  40 value 93.632344
iter  50 value 84.847232
iter  60 value 83.473958
iter  70 value 83.278223
iter  80 value 83.210365
iter  90 value 83.198068
iter  90 value 83.198068
iter  90 value 83.198068
final  value 83.198068 
converged
Fitting Repeat 2 

# weights:  305
initial  value 102.609367 
iter  10 value 94.488589
iter  20 value 93.270088
iter  30 value 90.224900
iter  40 value 90.221659
iter  50 value 90.220897
iter  60 value 89.078395
iter  70 value 84.012464
iter  80 value 83.980327
iter  90 value 83.980101
iter 100 value 83.979962
final  value 83.979962 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 122.412368 
iter  10 value 94.500540
iter  20 value 94.495165
iter  30 value 92.233078
iter  40 value 87.574634
iter  50 value 87.562632
final  value 87.562290 
converged
Fitting Repeat 4 

# weights:  305
initial  value 94.680882 
iter  10 value 85.964241
iter  20 value 85.959398
iter  30 value 85.954474
iter  40 value 84.163020
iter  50 value 84.086079
iter  60 value 84.084733
final  value 84.084732 
converged
Fitting Repeat 5 

# weights:  305
initial  value 105.247582 
iter  10 value 94.471295
iter  20 value 94.467787
iter  30 value 88.169041
iter  40 value 84.984294
iter  50 value 84.558264
iter  60 value 84.547346
final  value 84.547104 
converged
Fitting Repeat 1 

# weights:  507
initial  value 107.582127 
iter  10 value 94.491708
iter  20 value 94.460672
iter  30 value 93.112373
final  value 93.111450 
converged
Fitting Repeat 2 

# weights:  507
initial  value 95.773578 
iter  10 value 94.492667
iter  20 value 92.068316
iter  30 value 84.644606
iter  40 value 84.371960
iter  50 value 84.326957
iter  60 value 84.165224
iter  70 value 84.163932
iter  80 value 84.162938
final  value 84.162624 
converged
Fitting Repeat 3 

# weights:  507
initial  value 98.637123 
iter  10 value 94.492372
iter  20 value 89.997022
iter  30 value 86.025589
iter  40 value 85.956099
iter  50 value 85.931506
iter  60 value 85.896131
iter  70 value 85.895670
iter  80 value 85.569187
iter  90 value 85.563115
iter 100 value 85.562934
final  value 85.562934 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 107.732336 
iter  10 value 91.748525
iter  20 value 91.659862
iter  30 value 91.658957
iter  40 value 91.654145
iter  50 value 91.653266
final  value 91.653253 
converged
Fitting Repeat 5 

# weights:  507
initial  value 109.265626 
iter  10 value 94.491396
iter  20 value 94.414043
iter  30 value 92.332386
iter  40 value 80.655404
iter  50 value 80.039499
iter  60 value 79.708640
iter  70 value 79.707435
iter  80 value 79.675702
iter  90 value 79.659971
iter 100 value 79.657150
final  value 79.657150 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 98.101862 
iter  10 value 94.052818
iter  20 value 94.027843
final  value 94.022599 
converged
Fitting Repeat 2 

# weights:  103
initial  value 100.425246 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 94.933755 
iter  10 value 91.406636
iter  20 value 88.557528
iter  30 value 88.534204
final  value 88.534087 
converged
Fitting Repeat 4 

# weights:  103
initial  value 94.983646 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.738547 
final  value 93.836066 
converged
Fitting Repeat 1 

# weights:  305
initial  value 117.346003 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 98.585189 
final  value 93.604520 
converged
Fitting Repeat 3 

# weights:  305
initial  value 99.675694 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 110.660081 
iter  10 value 94.035088
iter  10 value 94.035088
iter  10 value 94.035088
final  value 94.035088 
converged
Fitting Repeat 5 

# weights:  305
initial  value 95.799241 
iter  10 value 93.337758
iter  20 value 93.319877
final  value 93.319876 
converged
Fitting Repeat 1 

# weights:  507
initial  value 116.826239 
iter  10 value 89.655713
iter  20 value 86.820120
iter  30 value 86.458683
final  value 86.436333 
converged
Fitting Repeat 2 

# weights:  507
initial  value 107.663585 
final  value 93.604520 
converged
Fitting Repeat 3 

# weights:  507
initial  value 104.079664 
iter  10 value 88.855115
iter  20 value 88.407131
final  value 88.406990 
converged
Fitting Repeat 4 

# weights:  507
initial  value 115.425855 
final  value 93.836066 
converged
Fitting Repeat 5 

# weights:  507
initial  value 108.587076 
final  value 93.836066 
converged
Fitting Repeat 1 

# weights:  103
initial  value 100.130676 
iter  10 value 93.977977
iter  20 value 85.996676
iter  30 value 85.240760
iter  40 value 85.033566
iter  50 value 84.278479
iter  60 value 84.233350
final  value 84.233349 
converged
Fitting Repeat 2 

# weights:  103
initial  value 102.860459 
iter  10 value 92.531485
iter  20 value 85.735720
iter  30 value 85.176568
iter  40 value 84.467687
iter  50 value 84.328847
iter  60 value 84.251167
iter  70 value 84.233385
final  value 84.233348 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.872833 
iter  10 value 91.061640
iter  20 value 85.408838
iter  30 value 84.868144
iter  40 value 84.683415
iter  50 value 84.642618
iter  60 value 84.444813
iter  70 value 84.168770
iter  80 value 84.117329
final  value 84.117328 
converged
Fitting Repeat 4 

# weights:  103
initial  value 115.273715 
iter  10 value 94.110709
iter  20 value 94.039920
iter  30 value 93.700530
iter  40 value 93.677193
iter  50 value 93.670015
iter  60 value 90.416746
iter  70 value 86.969368
iter  80 value 85.208935
iter  90 value 84.093750
iter 100 value 83.258396
final  value 83.258396 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 99.438456 
iter  10 value 94.039912
iter  20 value 93.415532
iter  30 value 88.199274
iter  40 value 86.933282
iter  50 value 86.784914
iter  60 value 85.224173
iter  70 value 84.826364
iter  80 value 84.782998
final  value 84.782919 
converged
Fitting Repeat 1 

# weights:  305
initial  value 103.623158 
iter  10 value 94.101296
iter  20 value 89.120792
iter  30 value 86.965015
iter  40 value 85.323155
iter  50 value 84.906674
iter  60 value 83.756301
iter  70 value 82.372884
iter  80 value 81.836669
iter  90 value 81.641280
iter 100 value 81.592055
final  value 81.592055 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 109.691387 
iter  10 value 93.440366
iter  20 value 91.507904
iter  30 value 89.863118
iter  40 value 87.117258
iter  50 value 84.091353
iter  60 value 83.396522
iter  70 value 82.836450
iter  80 value 82.067716
iter  90 value 81.784691
iter 100 value 81.608323
final  value 81.608323 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 112.308188 
iter  10 value 93.898800
iter  20 value 87.271199
iter  30 value 86.406679
iter  40 value 84.195819
iter  50 value 83.065186
iter  60 value 82.557156
iter  70 value 82.310049
iter  80 value 82.146693
iter  90 value 81.994441
iter 100 value 81.983220
final  value 81.983220 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 100.990273 
iter  10 value 92.887197
iter  20 value 86.535294
iter  30 value 85.565625
iter  40 value 84.983532
iter  50 value 83.504279
iter  60 value 82.900961
iter  70 value 82.797662
iter  80 value 82.673452
iter  90 value 81.783555
iter 100 value 81.512279
final  value 81.512279 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 116.078091 
iter  10 value 93.972058
iter  20 value 93.406684
iter  30 value 93.277488
iter  40 value 92.892984
iter  50 value 86.321756
iter  60 value 84.962792
iter  70 value 84.774589
iter  80 value 84.091725
iter  90 value 83.362705
iter 100 value 82.957468
final  value 82.957468 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 112.261427 
iter  10 value 94.211183
iter  20 value 93.750146
iter  30 value 90.546592
iter  40 value 90.081741
iter  50 value 88.089714
iter  60 value 84.186184
iter  70 value 82.879972
iter  80 value 82.469521
iter  90 value 82.261473
iter 100 value 82.112512
final  value 82.112512 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 106.749181 
iter  10 value 94.947391
iter  20 value 94.134417
iter  30 value 86.144303
iter  40 value 82.949544
iter  50 value 82.852889
iter  60 value 82.626446
iter  70 value 81.995703
iter  80 value 81.760862
iter  90 value 81.368879
iter 100 value 81.280422
final  value 81.280422 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 111.181356 
iter  10 value 94.300076
iter  20 value 93.895740
iter  30 value 92.642841
iter  40 value 86.154948
iter  50 value 85.704151
iter  60 value 85.391285
iter  70 value 84.257450
iter  80 value 82.062453
iter  90 value 81.680255
iter 100 value 81.638679
final  value 81.638679 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 114.458215 
iter  10 value 94.682187
iter  20 value 88.723527
iter  30 value 86.942967
iter  40 value 85.634180
iter  50 value 84.962568
iter  60 value 84.725133
iter  70 value 84.664467
iter  80 value 84.386095
iter  90 value 83.204016
iter 100 value 82.554634
final  value 82.554634 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 104.314319 
iter  10 value 94.268088
iter  20 value 90.148576
iter  30 value 86.716125
iter  40 value 85.431977
iter  50 value 84.985365
iter  60 value 84.249011
iter  70 value 83.332115
iter  80 value 82.593633
iter  90 value 81.932102
iter 100 value 81.656536
final  value 81.656536 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 103.175662 
iter  10 value 93.837752
iter  20 value 93.836396
final  value 93.836125 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.512211 
final  value 94.054729 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.389791 
final  value 94.054433 
converged
Fitting Repeat 4 

# weights:  103
initial  value 100.105010 
final  value 94.054540 
converged
Fitting Repeat 5 

# weights:  103
initial  value 100.519185 
iter  10 value 94.054898
iter  20 value 94.052919
iter  30 value 85.251442
iter  40 value 85.206041
final  value 85.206006 
converged
Fitting Repeat 1 

# weights:  305
initial  value 106.343979 
iter  10 value 93.718963
iter  20 value 93.714700
iter  30 value 91.145485
iter  40 value 85.724004
iter  50 value 85.101715
iter  60 value 85.096363
iter  70 value 85.096297
final  value 85.096292 
converged
Fitting Repeat 2 

# weights:  305
initial  value 108.286788 
iter  10 value 94.057348
iter  20 value 93.402998
iter  30 value 86.402919
iter  40 value 86.353870
iter  50 value 86.353071
iter  60 value 86.352953
final  value 86.352917 
converged
Fitting Repeat 3 

# weights:  305
initial  value 95.022307 
iter  10 value 93.841072
iter  20 value 93.836466
final  value 93.836251 
converged
Fitting Repeat 4 

# weights:  305
initial  value 95.784251 
iter  10 value 94.057026
iter  20 value 94.046855
iter  30 value 88.139588
iter  40 value 85.070538
iter  50 value 85.033449
iter  60 value 84.792540
iter  70 value 84.781561
iter  80 value 81.900086
iter  90 value 81.894509
final  value 81.894439 
converged
Fitting Repeat 5 

# weights:  305
initial  value 112.860226 
iter  10 value 94.057957
iter  20 value 93.845536
final  value 93.836416 
converged
Fitting Repeat 1 

# weights:  507
initial  value 124.982023 
iter  10 value 91.956358
iter  20 value 91.921957
iter  30 value 91.920926
iter  40 value 91.914995
iter  50 value 91.038525
iter  60 value 91.038378
iter  70 value 91.038049
final  value 91.038032 
converged
Fitting Repeat 2 

# weights:  507
initial  value 103.194665 
iter  10 value 93.722377
iter  20 value 91.452192
iter  30 value 83.946656
iter  40 value 83.395178
iter  50 value 83.376767
iter  60 value 83.374195
iter  70 value 83.369111
iter  80 value 83.356814
iter  90 value 83.350925
iter 100 value 83.350376
final  value 83.350376 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 106.972151 
iter  10 value 94.031055
iter  20 value 91.837475
iter  30 value 86.638780
iter  40 value 86.497488
iter  50 value 84.827898
iter  60 value 83.855896
iter  70 value 81.815454
iter  80 value 81.255781
iter  90 value 81.046609
iter 100 value 80.979379
final  value 80.979379 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 120.168858 
iter  10 value 94.061109
iter  20 value 93.965442
iter  30 value 85.772566
iter  40 value 85.548080
iter  50 value 85.399950
iter  60 value 83.115199
iter  70 value 81.377344
iter  80 value 81.278407
final  value 81.278015 
converged
Fitting Repeat 5 

# weights:  507
initial  value 95.551771 
iter  10 value 85.369834
iter  20 value 82.645830
iter  30 value 82.327283
iter  40 value 82.321602
iter  50 value 82.320977
iter  60 value 82.320580
iter  70 value 81.729197
iter  80 value 81.715697
iter  90 value 81.713377
iter 100 value 81.588035
final  value 81.588035 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 101.972470 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 94.834320 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.452712 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.882598 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 101.343745 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 110.891165 
iter  10 value 94.355390
final  value 94.354395 
converged
Fitting Repeat 2 

# weights:  305
initial  value 101.296932 
iter  10 value 94.484250
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 95.816607 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 100.281067 
final  value 94.354396 
converged
Fitting Repeat 5 

# weights:  305
initial  value 108.470035 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.336739 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  507
initial  value 123.664971 
iter  10 value 94.132576
iter  10 value 94.132576
iter  10 value 94.132576
final  value 94.132576 
converged
Fitting Repeat 3 

# weights:  507
initial  value 102.346307 
iter  10 value 94.103389
iter  20 value 90.270961
iter  30 value 82.839103
iter  40 value 82.782703
iter  50 value 82.761084
iter  60 value 82.685661
iter  70 value 82.665877
iter  70 value 82.665877
iter  70 value 82.665877
final  value 82.665877 
converged
Fitting Repeat 4 

# weights:  507
initial  value 98.719906 
iter  10 value 90.415234
iter  20 value 84.669488
iter  30 value 84.609729
final  value 84.609650 
converged
Fitting Repeat 5 

# weights:  507
initial  value 101.348497 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 107.312755 
iter  10 value 94.469864
iter  20 value 94.208581
iter  30 value 90.943951
iter  40 value 90.149397
iter  50 value 83.505087
iter  60 value 83.332787
iter  70 value 82.228689
iter  80 value 80.442315
iter  90 value 80.294717
iter 100 value 80.283126
final  value 80.283126 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 101.451452 
iter  10 value 94.489925
iter  20 value 94.386916
iter  30 value 94.183796
iter  40 value 91.809854
iter  50 value 91.594512
iter  60 value 91.533125
iter  70 value 91.523960
final  value 91.523748 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.312543 
iter  10 value 92.632390
iter  20 value 85.499801
iter  30 value 85.256828
iter  40 value 82.846132
iter  50 value 82.612673
iter  60 value 82.595207
final  value 82.595206 
converged
Fitting Repeat 4 

# weights:  103
initial  value 109.033762 
iter  10 value 94.515493
iter  20 value 94.484766
iter  30 value 93.208234
iter  40 value 89.107396
iter  50 value 86.502656
iter  60 value 84.414300
iter  70 value 83.930030
iter  80 value 83.563456
iter  90 value 82.632696
iter 100 value 82.211052
final  value 82.211052 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 99.704972 
iter  10 value 94.135225
iter  20 value 86.571813
iter  30 value 85.986531
iter  40 value 84.624918
iter  50 value 83.900369
iter  60 value 82.701817
iter  70 value 82.636947
final  value 82.636944 
converged
Fitting Repeat 1 

# weights:  305
initial  value 108.682500 
iter  10 value 96.015030
iter  20 value 91.634666
iter  30 value 82.451128
iter  40 value 81.048900
iter  50 value 80.829705
iter  60 value 80.364042
iter  70 value 80.124863
iter  80 value 79.867322
iter  90 value 79.636759
iter 100 value 79.524324
final  value 79.524324 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 105.418286 
iter  10 value 89.398688
iter  20 value 82.887857
iter  30 value 81.629478
iter  40 value 80.772324
iter  50 value 80.564235
iter  60 value 80.318561
iter  70 value 80.033081
iter  80 value 80.025890
iter  90 value 79.998131
iter 100 value 79.314489
final  value 79.314489 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 101.143236 
iter  10 value 94.487229
iter  20 value 94.342163
iter  30 value 81.538568
iter  40 value 80.799298
iter  50 value 80.742313
iter  60 value 80.634510
iter  70 value 80.466526
iter  80 value 79.861404
iter  90 value 79.389410
iter 100 value 79.310144
final  value 79.310144 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 101.696076 
iter  10 value 94.516316
iter  20 value 93.571339
iter  30 value 88.021264
iter  40 value 85.234670
iter  50 value 84.057525
iter  60 value 83.372465
iter  70 value 80.273466
iter  80 value 79.484846
iter  90 value 79.093511
iter 100 value 78.791607
final  value 78.791607 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 101.183849 
iter  10 value 94.104416
iter  20 value 92.346094
iter  30 value 91.656555
iter  40 value 91.353097
iter  50 value 90.925775
iter  60 value 83.530577
iter  70 value 81.049366
iter  80 value 80.649409
iter  90 value 79.870723
iter 100 value 79.236405
final  value 79.236405 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 117.407525 
iter  10 value 93.661018
iter  20 value 85.894220
iter  30 value 84.071607
iter  40 value 83.436791
iter  50 value 82.752758
iter  60 value 80.123870
iter  70 value 79.257812
iter  80 value 78.841442
iter  90 value 78.552343
iter 100 value 78.464111
final  value 78.464111 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 123.388925 
iter  10 value 94.584524
iter  20 value 90.091943
iter  30 value 86.549501
iter  40 value 85.748897
iter  50 value 85.589140
iter  60 value 85.372160
iter  70 value 82.587267
iter  80 value 81.215680
iter  90 value 79.614062
iter 100 value 78.991548
final  value 78.991548 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 110.350755 
iter  10 value 95.153892
iter  20 value 95.056683
iter  30 value 93.749552
iter  40 value 92.411429
iter  50 value 84.240783
iter  60 value 83.653941
iter  70 value 83.513901
iter  80 value 81.340398
iter  90 value 80.608125
iter 100 value 80.343005
final  value 80.343005 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 104.903172 
iter  10 value 94.964276
iter  20 value 90.285309
iter  30 value 89.174215
iter  40 value 86.584180
iter  50 value 84.948132
iter  60 value 81.582586
iter  70 value 81.024813
iter  80 value 80.854945
iter  90 value 80.397682
iter 100 value 79.830256
final  value 79.830256 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 111.041992 
iter  10 value 96.449613
iter  20 value 94.867890
iter  30 value 87.291162
iter  40 value 83.464229
iter  50 value 82.947697
iter  60 value 82.452104
iter  70 value 81.395730
iter  80 value 79.617611
iter  90 value 79.209351
iter 100 value 79.126701
final  value 79.126701 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 104.542923 
final  value 94.486098 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.306885 
final  value 94.485868 
converged
Fitting Repeat 3 

# weights:  103
initial  value 113.134441 
iter  10 value 94.498828
final  value 94.485854 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.215010 
final  value 94.485767 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.906267 
iter  10 value 94.485716
iter  20 value 94.417322
iter  30 value 85.318386
iter  40 value 85.278206
iter  50 value 84.550351
iter  60 value 84.533272
iter  60 value 84.533271
iter  60 value 84.533271
final  value 84.533271 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.331821 
iter  10 value 94.359713
iter  20 value 94.333425
final  value 87.458938 
converged
Fitting Repeat 2 

# weights:  305
initial  value 109.131595 
iter  10 value 94.492959
iter  20 value 94.448356
iter  30 value 92.336052
iter  40 value 85.813720
iter  50 value 81.144128
iter  60 value 81.138407
iter  70 value 81.136976
iter  80 value 80.669603
iter  90 value 80.461838
iter 100 value 80.459921
final  value 80.459921 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 94.872212 
iter  10 value 92.841959
iter  20 value 92.838185
iter  30 value 90.853839
iter  40 value 84.294798
iter  50 value 84.012152
iter  60 value 84.011639
iter  70 value 82.606973
iter  80 value 82.485358
final  value 82.485277 
converged
Fitting Repeat 4 

# weights:  305
initial  value 98.628264 
iter  10 value 94.489269
iter  20 value 83.719166
iter  30 value 83.408686
iter  40 value 83.403150
iter  50 value 83.169274
final  value 83.169037 
converged
Fitting Repeat 5 

# weights:  305
initial  value 109.750731 
iter  10 value 94.149318
iter  20 value 94.140608
iter  30 value 94.136720
iter  40 value 94.133085
iter  50 value 84.417667
iter  60 value 82.716571
final  value 82.668229 
converged
Fitting Repeat 1 

# weights:  507
initial  value 94.584583 
iter  10 value 85.477347
iter  20 value 82.883868
iter  30 value 82.832436
iter  40 value 81.558581
iter  50 value 81.551685
iter  60 value 81.407008
iter  70 value 81.011832
iter  80 value 80.382192
iter  90 value 79.487891
iter 100 value 79.482944
final  value 79.482944 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 108.106271 
iter  10 value 94.492230
iter  20 value 94.485856
iter  30 value 90.340999
iter  40 value 86.755357
iter  50 value 86.728563
iter  60 value 85.230202
iter  70 value 81.034437
iter  80 value 79.563354
iter  90 value 79.385639
iter 100 value 79.367144
final  value 79.367144 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 137.413310 
iter  10 value 94.492782
iter  20 value 94.485308
iter  30 value 88.728390
iter  40 value 86.746006
iter  50 value 83.194530
iter  60 value 83.188724
final  value 83.188446 
converged
Fitting Repeat 4 

# weights:  507
initial  value 101.905387 
iter  10 value 94.362444
iter  20 value 94.355108
final  value 94.354566 
converged
Fitting Repeat 5 

# weights:  507
initial  value 126.882756 
iter  10 value 94.492429
iter  20 value 94.484686
iter  30 value 94.251748
iter  40 value 94.240255
final  value 94.240166 
converged
Fitting Repeat 1 

# weights:  507
initial  value 127.320433 
iter  10 value 117.637775
iter  20 value 108.607616
iter  30 value 103.470759
iter  40 value 102.321799
iter  50 value 102.029438
iter  60 value 101.433621
iter  70 value 101.258049
iter  80 value 101.147630
iter  90 value 101.003488
iter 100 value 100.951159
final  value 100.951159 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 128.091652 
iter  10 value 118.127413
iter  20 value 116.939900
iter  30 value 110.308716
iter  40 value 107.271511
iter  50 value 105.444972
iter  60 value 105.034602
iter  70 value 104.847508
iter  80 value 103.716067
iter  90 value 103.429651
iter 100 value 101.979665
final  value 101.979665 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 132.942144 
iter  10 value 117.862759
iter  20 value 114.937732
iter  30 value 106.589497
iter  40 value 104.251883
iter  50 value 103.253422
iter  60 value 102.063022
iter  70 value 101.907580
iter  80 value 101.792337
iter  90 value 101.707181
iter 100 value 101.144581
final  value 101.144581 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 129.749694 
iter  10 value 117.157890
iter  20 value 109.830408
iter  30 value 109.353818
iter  40 value 108.830509
iter  50 value 108.357573
iter  60 value 107.995963
iter  70 value 105.567984
iter  80 value 105.070127
iter  90 value 104.498904
iter 100 value 103.623769
final  value 103.623769 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 137.707043 
iter  10 value 123.571913
iter  20 value 117.314254
iter  30 value 110.769960
iter  40 value 108.551254
iter  50 value 106.358282
iter  60 value 105.209705
iter  70 value 105.005373
iter  80 value 104.640650
iter  90 value 103.580588
iter 100 value 102.940808
final  value 102.940808 
stopped after 100 iterations
svmRadial
ranger
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases


RUNIT TEST PROTOCOL -- Fri May 31 10:12:35 2024 
*********************************************** 
Number of test functions: 7 
Number of errors: 1 
Number of failures: 0 

 
1 Test Suite : 
HPiP RUnit Tests - 7 test functions, 1 error, 0 failures
ERROR in test_enrich.df: Error in function (type, msg, asError = TRUE)  : 
  Failed to connect to biit.cs.ut.ee port 80 after 150003 ms: Couldn't connect to server

Test files with failing tests

   test_enrich.df.R 
     test_enrich.df 


Error in BiocGenerics:::testPackage("HPiP") : 
  unit tests failed for package HPiP
Execution halted