Matineh Rahmatbakhsh
| Snapshot Date: 2026-02-27 13:45 -0500 (Fri, 27 Feb 2026) |
| git_url: https://git.bioconductor.org/packages/HPiP |
| git_branch: RELEASE_3_22 |
| git_last_commit: 6cf0d22 |
| git_last_commit_date: 2025-12-28 18:31:13 -0500 (Sun, 28 Dec 2025) |
| Back to Build/check report for BioC 3.22: simplified long |
|
This page was generated on 2026-02-28 11:57 -0500 (Sat, 28 Feb 2026).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo2 | Linux (Ubuntu 24.04.3 LTS) | x86_64 | 4.5.2 (2025-10-31) -- "[Not] Part in a Rumble" | 4891 |
| Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X | ||||
| Package 1006/2361 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| HPiP 1.16.1 (landing page) Matineh Rahmatbakhsh
| nebbiolo2 | Linux (Ubuntu 24.04.3 LTS) / x86_64 | OK | OK | OK | | ||||||||
| See other builds for HPiP in R Universe. | ||||||||||||||
|
To the developers/maintainers of the HPiP package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/HPiP.git to reflect on this report. See Troubleshooting Build Report for more information. - Use the following Renviron settings to reproduce errors and warnings. - If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information. |
| Package: HPiP |
| Version: 1.16.1 |
| Command: /home/biocbuild/bbs-3.22-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.22-bioc/R/site-library --timings HPiP_1.16.1.tar.gz |
| StartedAt: 2026-02-28 00:34:54 -0500 (Sat, 28 Feb 2026) |
| EndedAt: 2026-02-28 00:49:57 -0500 (Sat, 28 Feb 2026) |
| EllapsedTime: 903.2 seconds |
| RetCode: 0 |
| Status: OK |
| CheckDir: HPiP.Rcheck |
| Warnings: 0 |
##############################################################################
##############################################################################
###
### Running command:
###
### /home/biocbuild/bbs-3.22-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.22-bioc/R/site-library --timings HPiP_1.16.1.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/home/biocbuild/bbs-3.22-bioc/meat/HPiP.Rcheck’
* using R version 4.5.2 (2025-10-31)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
gcc (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
GNU Fortran (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
* running under: Ubuntu 24.04.3 LTS
* using session charset: UTF-8
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.16.1’
* 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 loading without being on the library search path ... 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 ... INFO
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 ... OK
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
corr_plot 34.575 0.455 35.031
var_imp 33.326 0.583 33.911
FSmethod 33.418 0.450 33.869
pred_ensembel 12.586 0.223 11.566
enrichfindP 0.575 0.049 11.457
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
Running ‘runTests.R’
OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* DONE
Status: 2 NOTEs
See
‘/home/biocbuild/bbs-3.22-bioc/meat/HPiP.Rcheck/00check.log’
for details.
HPiP.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.22-bioc/R/bin/R CMD INSTALL HPiP ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/bbs-3.22-bioc/R/site-library’ * installing *source* package ‘HPiP’ ... ** this is package ‘HPiP’ version ‘1.16.1’ ** 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)
HPiP.Rcheck/tests/runTests.Rout
R version 4.5.2 (2025-10-31) -- "[Not] Part in a Rumble"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu
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')
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
avNNet
Loading required package: ggplot2
Loading required package: lattice
Fitting Repeat 1
# weights: 103
initial value 97.209299
final value 94.052910
converged
Fitting Repeat 2
# weights: 103
initial value 94.119574
final value 94.052910
converged
Fitting Repeat 3
# weights: 103
initial value 96.645405
final value 94.052910
converged
Fitting Repeat 4
# weights: 103
initial value 95.355330
final value 94.052910
converged
Fitting Repeat 5
# weights: 103
initial value 96.042710
final value 94.052910
converged
Fitting Repeat 1
# weights: 305
initial value 112.414007
final value 94.052910
converged
Fitting Repeat 2
# weights: 305
initial value 96.018571
final value 94.052910
converged
Fitting Repeat 3
# weights: 305
initial value 94.793203
final value 94.052910
converged
Fitting Repeat 4
# weights: 305
initial value 118.168367
final value 94.052910
converged
Fitting Repeat 5
# weights: 305
initial value 111.374674
final value 94.052910
converged
Fitting Repeat 1
# weights: 507
initial value 97.947426
final value 94.052910
converged
Fitting Repeat 2
# weights: 507
initial value 94.545833
final value 93.915746
converged
Fitting Repeat 3
# weights: 507
initial value 107.257124
final value 94.052910
converged
Fitting Repeat 4
# weights: 507
initial value 119.036102
final value 93.915746
converged
Fitting Repeat 5
# weights: 507
initial value 97.962675
final value 94.052910
converged
Fitting Repeat 1
# weights: 103
initial value 100.208023
iter 10 value 94.047190
iter 20 value 90.523537
iter 30 value 89.302661
iter 40 value 86.102370
iter 50 value 85.055757
iter 60 value 83.699710
iter 70 value 83.521912
iter 80 value 81.812820
iter 90 value 81.715354
iter 100 value 81.401385
final value 81.401385
stopped after 100 iterations
Fitting Repeat 2
# weights: 103
initial value 103.279098
iter 10 value 94.067068
iter 20 value 93.998708
iter 30 value 93.893773
iter 40 value 93.890280
iter 50 value 93.889875
iter 60 value 92.384549
iter 70 value 87.949786
iter 80 value 85.488192
iter 90 value 81.869138
iter 100 value 81.462929
final value 81.462929
stopped after 100 iterations
Fitting Repeat 3
# weights: 103
initial value 111.009073
iter 10 value 93.488539
iter 20 value 88.278776
iter 30 value 87.865629
iter 40 value 85.094648
iter 50 value 84.978708
iter 60 value 82.224801
iter 70 value 82.062637
iter 80 value 81.702097
iter 90 value 81.500550
iter 100 value 81.326297
final value 81.326297
stopped after 100 iterations
Fitting Repeat 4
# weights: 103
initial value 99.376545
iter 10 value 94.104390
iter 20 value 94.056614
iter 30 value 88.083359
iter 40 value 84.980650
iter 50 value 82.391401
iter 60 value 82.182644
iter 70 value 82.063833
iter 80 value 81.493611
iter 90 value 81.321983
iter 100 value 81.308967
final value 81.308967
stopped after 100 iterations
Fitting Repeat 5
# weights: 103
initial value 96.725326
iter 10 value 94.054998
iter 20 value 90.242769
iter 30 value 84.192834
iter 40 value 83.224153
iter 50 value 80.964975
iter 60 value 80.051928
iter 70 value 79.759789
final value 79.727769
converged
Fitting Repeat 1
# weights: 305
initial value 106.617521
iter 10 value 94.138105
iter 20 value 84.783017
iter 30 value 83.747977
iter 40 value 82.192361
iter 50 value 81.406868
iter 60 value 79.719039
iter 70 value 79.351665
iter 80 value 78.126348
iter 90 value 77.815051
iter 100 value 77.735647
final value 77.735647
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 100.267346
iter 10 value 94.060428
iter 20 value 94.018855
iter 30 value 84.105851
iter 40 value 81.548944
iter 50 value 80.457722
iter 60 value 80.142515
iter 70 value 79.916527
iter 80 value 79.407076
iter 90 value 79.093283
iter 100 value 78.294380
final value 78.294380
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 109.363873
iter 10 value 93.973899
iter 20 value 91.298474
iter 30 value 88.810203
iter 40 value 86.083667
iter 50 value 83.941318
iter 60 value 82.907066
iter 70 value 80.424322
iter 80 value 79.314613
iter 90 value 78.617790
iter 100 value 78.512641
final value 78.512641
stopped after 100 iterations
Fitting Repeat 4
# weights: 305
initial value 101.520953
iter 10 value 94.118734
iter 20 value 93.885739
iter 30 value 92.223516
iter 40 value 91.908285
iter 50 value 83.719061
iter 60 value 81.946224
iter 70 value 81.569260
iter 80 value 81.037693
iter 90 value 79.301051
iter 100 value 79.141259
final value 79.141259
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 103.693708
iter 10 value 93.946203
iter 20 value 84.940327
iter 30 value 83.328263
iter 40 value 82.365082
iter 50 value 81.472805
iter 60 value 81.171062
iter 70 value 81.003050
iter 80 value 80.944082
iter 90 value 80.930821
iter 100 value 80.913553
final value 80.913553
stopped after 100 iterations
Fitting Repeat 1
# weights: 507
initial value 113.150842
iter 10 value 89.075203
iter 20 value 84.364677
iter 30 value 82.421868
iter 40 value 81.992136
iter 50 value 81.371969
iter 60 value 80.251669
iter 70 value 79.501101
iter 80 value 79.202312
iter 90 value 78.341896
iter 100 value 78.033248
final value 78.033248
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 111.117799
iter 10 value 94.270698
iter 20 value 93.980234
iter 30 value 85.925130
iter 40 value 82.953519
iter 50 value 80.868921
iter 60 value 80.195395
iter 70 value 79.124089
iter 80 value 78.719197
iter 90 value 78.165253
iter 100 value 77.903489
final value 77.903489
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 106.547843
iter 10 value 93.512187
iter 20 value 83.579184
iter 30 value 81.897811
iter 40 value 81.598915
iter 50 value 81.514595
iter 60 value 81.086930
iter 70 value 79.530599
iter 80 value 78.449416
iter 90 value 78.186341
iter 100 value 77.947931
final value 77.947931
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 111.100690
iter 10 value 94.040362
iter 20 value 88.389327
iter 30 value 83.030541
iter 40 value 82.245872
iter 50 value 80.078957
iter 60 value 79.270816
iter 70 value 78.629442
iter 80 value 78.190887
iter 90 value 77.709966
iter 100 value 77.668303
final value 77.668303
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 111.674277
iter 10 value 94.091620
iter 20 value 85.382328
iter 30 value 81.867781
iter 40 value 81.221195
iter 50 value 80.776625
iter 60 value 80.690362
iter 70 value 80.551219
iter 80 value 80.317401
iter 90 value 78.915415
iter 100 value 78.622525
final value 78.622525
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 108.494392
final value 94.054368
converged
Fitting Repeat 2
# weights: 103
initial value 100.860023
iter 10 value 94.054810
final value 94.052945
converged
Fitting Repeat 3
# weights: 103
initial value 97.116288
iter 10 value 94.054716
final value 94.052972
converged
Fitting Repeat 4
# weights: 103
initial value 100.796549
final value 94.054504
converged
Fitting Repeat 5
# weights: 103
initial value 96.861357
final value 94.054548
converged
Fitting Repeat 1
# weights: 305
initial value 113.645257
iter 10 value 94.057860
iter 20 value 94.048720
iter 30 value 87.426344
iter 40 value 84.886194
iter 50 value 84.878296
final value 84.875942
converged
Fitting Repeat 2
# weights: 305
initial value 96.691687
iter 10 value 94.057419
iter 20 value 94.018997
iter 30 value 93.866472
final value 93.865980
converged
Fitting Repeat 3
# weights: 305
initial value 98.518271
iter 10 value 94.057560
iter 20 value 94.049194
iter 30 value 93.686687
iter 40 value 91.958169
final value 91.957909
converged
Fitting Repeat 4
# weights: 305
initial value 96.762895
iter 10 value 93.920534
iter 20 value 93.912813
iter 30 value 93.872169
iter 40 value 91.371797
iter 50 value 91.360814
iter 60 value 91.328776
final value 91.320774
converged
Fitting Repeat 5
# weights: 305
initial value 104.448560
iter 10 value 93.293665
iter 20 value 93.289455
iter 30 value 84.934998
iter 40 value 84.043814
final value 84.043496
converged
Fitting Repeat 1
# weights: 507
initial value 99.612136
iter 10 value 94.061664
iter 20 value 92.262985
final value 91.362682
converged
Fitting Repeat 2
# weights: 507
initial value 119.925345
iter 10 value 94.060642
iter 20 value 91.232415
iter 30 value 91.202583
iter 40 value 91.193985
iter 50 value 91.136176
iter 60 value 91.116677
iter 70 value 91.108056
iter 80 value 88.411320
iter 90 value 82.297564
iter 100 value 81.859110
final value 81.859110
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 106.717247
iter 10 value 93.924008
iter 20 value 93.918038
final value 93.917684
converged
Fitting Repeat 4
# weights: 507
initial value 118.057286
iter 10 value 94.060899
iter 20 value 94.053336
iter 30 value 93.846188
iter 40 value 92.592016
iter 50 value 80.028335
iter 60 value 79.538947
iter 70 value 79.535485
iter 80 value 79.512722
iter 90 value 78.773420
iter 100 value 78.467124
final value 78.467124
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 98.414401
iter 10 value 93.923859
iter 20 value 93.868455
iter 30 value 88.208182
iter 40 value 85.321803
iter 50 value 84.000284
iter 60 value 80.909566
iter 70 value 80.608314
iter 80 value 79.229683
iter 90 value 78.635625
iter 100 value 78.619222
final value 78.619222
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 98.650839
final value 94.484211
converged
Fitting Repeat 2
# weights: 103
initial value 98.244931
final value 94.026542
converged
Fitting Repeat 3
# weights: 103
initial value 100.103708
final value 94.484211
converged
Fitting Repeat 4
# weights: 103
initial value 100.121804
final value 94.484211
converged
Fitting Repeat 5
# weights: 103
initial value 96.099305
final value 94.484211
converged
Fitting Repeat 1
# weights: 305
initial value 95.659023
iter 10 value 93.954390
final value 93.946833
converged
Fitting Repeat 2
# weights: 305
initial value 96.877859
final value 94.484211
converged
Fitting Repeat 3
# weights: 305
initial value 115.777604
final value 94.026542
converged
Fitting Repeat 4
# weights: 305
initial value 100.505167
final value 94.484211
converged
Fitting Repeat 5
# weights: 305
initial value 101.150187
final value 94.484211
converged
Fitting Repeat 1
# weights: 507
initial value 102.079097
final value 94.026542
converged
Fitting Repeat 2
# weights: 507
initial value 100.050920
final value 94.026542
converged
Fitting Repeat 3
# weights: 507
initial value 115.825887
iter 10 value 88.014349
iter 20 value 87.086269
iter 30 value 87.085559
iter 30 value 87.085558
iter 30 value 87.085558
final value 87.085558
converged
Fitting Repeat 4
# weights: 507
initial value 108.638008
final value 94.026542
converged
Fitting Repeat 5
# weights: 507
initial value 96.584088
final value 94.484211
converged
Fitting Repeat 1
# weights: 103
initial value 100.339836
iter 10 value 95.388293
iter 20 value 93.911690
iter 30 value 91.186197
iter 40 value 87.427329
iter 50 value 86.784670
iter 60 value 86.100740
iter 70 value 85.994393
final value 85.978201
converged
Fitting Repeat 2
# weights: 103
initial value 99.336789
iter 10 value 94.486753
iter 20 value 94.229691
iter 30 value 91.830410
iter 40 value 88.130978
iter 50 value 86.133625
iter 60 value 85.282283
iter 70 value 84.572633
iter 80 value 84.349518
final value 84.349209
converged
Fitting Repeat 3
# weights: 103
initial value 98.369883
iter 10 value 94.498017
iter 20 value 94.486191
iter 30 value 93.521411
iter 40 value 93.496205
iter 50 value 93.493877
iter 60 value 93.490671
iter 70 value 93.430630
iter 80 value 86.724496
iter 90 value 85.043215
iter 100 value 83.980914
final value 83.980914
stopped after 100 iterations
Fitting Repeat 4
# weights: 103
initial value 110.666468
iter 10 value 93.965645
iter 20 value 90.095466
iter 30 value 89.583179
iter 40 value 88.990257
iter 50 value 88.405903
iter 60 value 85.034151
iter 70 value 84.349862
final value 84.349208
converged
Fitting Repeat 5
# weights: 103
initial value 97.889401
iter 10 value 94.424120
iter 20 value 86.621508
iter 30 value 86.451172
iter 40 value 86.152598
iter 50 value 85.982547
iter 60 value 85.896520
iter 70 value 85.851789
final value 85.851347
converged
Fitting Repeat 1
# weights: 305
initial value 107.200271
iter 10 value 94.573825
iter 20 value 87.496672
iter 30 value 85.930221
iter 40 value 84.827480
iter 50 value 82.614992
iter 60 value 82.228839
iter 70 value 82.030814
iter 80 value 81.942160
iter 90 value 81.887682
iter 100 value 81.736260
final value 81.736260
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 101.697344
iter 10 value 94.075894
iter 20 value 91.778866
iter 30 value 85.659207
iter 40 value 85.397206
iter 50 value 85.004953
iter 60 value 84.328951
iter 70 value 82.830444
iter 80 value 82.418463
iter 90 value 81.866771
iter 100 value 81.518493
final value 81.518493
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 110.990398
iter 10 value 94.955267
iter 20 value 86.994745
iter 30 value 86.379350
iter 40 value 86.235127
iter 50 value 86.058943
iter 60 value 85.740231
iter 70 value 83.829671
iter 80 value 83.006923
iter 90 value 82.656675
iter 100 value 82.241384
final value 82.241384
stopped after 100 iterations
Fitting Repeat 4
# weights: 305
initial value 107.242890
iter 10 value 95.026219
iter 20 value 92.818955
iter 30 value 86.477278
iter 40 value 84.742538
iter 50 value 83.899449
iter 60 value 82.887277
iter 70 value 82.196438
iter 80 value 81.665261
iter 90 value 81.428419
iter 100 value 81.380672
final value 81.380672
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 103.352955
iter 10 value 94.428460
iter 20 value 86.622151
iter 30 value 86.474692
iter 40 value 85.650484
iter 50 value 85.544387
iter 60 value 85.354907
iter 70 value 83.818460
iter 80 value 82.948145
iter 90 value 82.083226
iter 100 value 81.662142
final value 81.662142
stopped after 100 iterations
Fitting Repeat 1
# weights: 507
initial value 109.585431
iter 10 value 94.372841
iter 20 value 91.267668
iter 30 value 88.276406
iter 40 value 85.708041
iter 50 value 84.889648
iter 60 value 84.724827
iter 70 value 84.413166
iter 80 value 84.077507
iter 90 value 82.788774
iter 100 value 81.885816
final value 81.885816
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 155.081137
iter 10 value 95.268813
iter 20 value 93.594649
iter 30 value 89.596751
iter 40 value 88.009356
iter 50 value 86.943601
iter 60 value 84.807324
iter 70 value 82.931396
iter 80 value 82.215196
iter 90 value 81.956189
iter 100 value 81.906987
final value 81.906987
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 129.276194
iter 10 value 94.431078
iter 20 value 92.880475
iter 30 value 89.419138
iter 40 value 86.071412
iter 50 value 85.501852
iter 60 value 85.076212
iter 70 value 84.483185
iter 80 value 84.026819
iter 90 value 83.289933
iter 100 value 82.414704
final value 82.414704
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 108.179970
iter 10 value 99.078097
iter 20 value 94.546428
iter 30 value 94.386232
iter 40 value 89.955856
iter 50 value 86.692194
iter 60 value 86.148300
iter 70 value 86.000370
iter 80 value 85.335221
iter 90 value 84.271632
iter 100 value 83.605461
final value 83.605461
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 116.858908
iter 10 value 94.427821
iter 20 value 92.895121
iter 30 value 87.177036
iter 40 value 85.988653
iter 50 value 84.774814
iter 60 value 84.392907
iter 70 value 83.979869
iter 80 value 83.375538
iter 90 value 83.160327
iter 100 value 82.852833
final value 82.852833
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 95.420527
final value 94.485982
converged
Fitting Repeat 2
# weights: 103
initial value 99.017873
final value 94.485861
converged
Fitting Repeat 3
# weights: 103
initial value 94.934512
final value 94.486127
converged
Fitting Repeat 4
# weights: 103
initial value 103.251599
final value 94.485797
converged
Fitting Repeat 5
# weights: 103
initial value 101.947900
iter 10 value 94.485979
iter 20 value 88.556798
iter 30 value 87.593386
iter 40 value 87.591591
iter 50 value 87.572735
iter 60 value 87.159704
iter 70 value 86.780929
final value 86.774703
converged
Fitting Repeat 1
# weights: 305
initial value 101.623698
iter 10 value 94.488208
iter 20 value 85.824578
iter 30 value 85.689056
iter 40 value 85.655134
iter 50 value 85.644581
iter 60 value 85.641362
iter 70 value 85.640840
final value 85.640774
converged
Fitting Repeat 2
# weights: 305
initial value 102.394939
iter 10 value 93.314568
iter 20 value 93.298974
iter 30 value 93.048098
iter 40 value 89.499665
iter 50 value 84.431583
iter 60 value 84.394519
iter 70 value 84.392584
iter 80 value 84.392466
iter 90 value 84.391678
iter 90 value 84.391677
final value 84.391677
converged
Fitting Repeat 3
# weights: 305
initial value 105.196478
iter 10 value 94.489036
iter 20 value 94.484223
final value 94.484208
converged
Fitting Repeat 4
# weights: 305
initial value 98.795116
iter 10 value 94.489170
iter 20 value 94.349456
iter 30 value 93.320522
iter 30 value 93.320521
iter 30 value 93.320521
final value 93.320521
converged
Fitting Repeat 5
# weights: 305
initial value 100.537337
iter 10 value 93.706143
iter 20 value 93.702852
iter 30 value 93.701865
iter 40 value 90.522891
iter 50 value 85.383374
iter 60 value 85.199390
iter 70 value 85.198902
iter 80 value 84.975362
iter 90 value 84.379720
final value 84.379718
converged
Fitting Repeat 1
# weights: 507
initial value 96.373461
iter 10 value 94.034942
iter 20 value 88.415539
iter 30 value 86.230776
iter 40 value 86.228075
iter 50 value 86.008653
iter 60 value 85.995549
iter 70 value 85.985808
iter 80 value 85.793533
iter 90 value 85.661313
final value 85.661177
converged
Fitting Repeat 2
# weights: 507
initial value 100.958479
iter 10 value 93.343911
iter 20 value 93.312875
iter 30 value 93.297152
iter 40 value 88.886749
iter 50 value 86.095896
iter 60 value 86.068734
iter 70 value 86.068526
iter 80 value 86.063253
iter 90 value 84.649423
iter 100 value 82.145558
final value 82.145558
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 101.534882
iter 10 value 93.302097
iter 20 value 93.281305
iter 30 value 85.764356
iter 40 value 85.689838
iter 50 value 85.665606
iter 60 value 85.548235
final value 85.548223
converged
Fitting Repeat 4
# weights: 507
initial value 99.538713
iter 10 value 94.491748
iter 20 value 94.354649
iter 30 value 87.389410
iter 40 value 82.948147
iter 50 value 82.616434
iter 60 value 82.544599
iter 70 value 82.542989
iter 80 value 82.542671
iter 90 value 82.541333
iter 90 value 82.541333
final value 82.541333
converged
Fitting Repeat 5
# weights: 507
initial value 104.954451
iter 10 value 94.492481
iter 20 value 94.419897
iter 30 value 89.346261
iter 40 value 87.357526
iter 50 value 84.843556
iter 60 value 83.153642
iter 70 value 82.859758
iter 80 value 82.856653
iter 90 value 82.550395
iter 100 value 82.068495
final value 82.068495
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 106.433440
final value 94.484211
converged
Fitting Repeat 2
# weights: 103
initial value 104.680108
final value 94.484211
converged
Fitting Repeat 3
# weights: 103
initial value 96.080532
final value 94.484211
converged
Fitting Repeat 4
# weights: 103
initial value 94.673504
final value 93.423221
converged
Fitting Repeat 5
# weights: 103
initial value 95.560084
final value 94.484211
converged
Fitting Repeat 1
# weights: 305
initial value 103.958152
final value 94.484211
converged
Fitting Repeat 2
# weights: 305
initial value 99.430590
iter 10 value 94.354522
final value 94.354396
converged
Fitting Repeat 3
# weights: 305
initial value 125.549775
final value 94.484211
converged
Fitting Repeat 4
# weights: 305
initial value 98.814328
iter 10 value 92.623806
final value 92.623792
converged
Fitting Repeat 5
# weights: 305
initial value 96.370482
iter 10 value 90.801811
final value 90.745084
converged
Fitting Repeat 1
# weights: 507
initial value 110.628246
final value 94.484211
converged
Fitting Repeat 2
# weights: 507
initial value 100.518135
iter 10 value 93.804233
final value 93.803476
converged
Fitting Repeat 3
# weights: 507
initial value 96.712706
final value 94.354396
converged
Fitting Repeat 4
# weights: 507
initial value 102.593185
final value 94.484211
converged
Fitting Repeat 5
# weights: 507
initial value 111.395763
final value 94.484211
converged
Fitting Repeat 1
# weights: 103
initial value 99.648033
iter 10 value 94.518167
iter 20 value 87.246750
iter 30 value 86.375768
iter 40 value 85.854446
iter 50 value 85.381670
iter 60 value 85.366309
iter 70 value 85.365095
iter 70 value 85.365094
final value 85.365094
converged
Fitting Repeat 2
# weights: 103
initial value 104.582260
iter 10 value 94.488668
iter 20 value 92.333737
iter 30 value 91.620956
iter 40 value 91.519814
iter 50 value 90.428455
iter 60 value 89.161503
iter 70 value 86.516836
iter 80 value 84.433889
iter 90 value 84.129915
iter 100 value 83.764763
final value 83.764763
stopped after 100 iterations
Fitting Repeat 3
# weights: 103
initial value 98.608766
iter 10 value 88.318430
iter 20 value 86.443764
iter 30 value 86.363863
iter 40 value 85.465188
iter 50 value 85.376201
iter 60 value 85.363527
final value 85.361855
converged
Fitting Repeat 4
# weights: 103
initial value 102.310976
iter 10 value 94.480236
iter 20 value 94.243870
iter 30 value 87.816241
iter 40 value 86.308476
iter 50 value 86.014563
iter 60 value 85.968571
iter 70 value 85.961716
iter 80 value 85.439284
iter 90 value 85.372473
iter 100 value 85.365429
final value 85.365429
stopped after 100 iterations
Fitting Repeat 5
# weights: 103
initial value 101.244176
iter 10 value 94.486854
iter 20 value 94.440322
iter 30 value 93.717517
iter 40 value 86.223297
iter 50 value 83.627489
iter 60 value 83.495774
iter 70 value 83.271324
iter 80 value 83.235234
iter 90 value 83.090354
iter 100 value 83.047269
final value 83.047269
stopped after 100 iterations
Fitting Repeat 1
# weights: 305
initial value 100.570110
iter 10 value 94.201188
iter 20 value 91.821053
iter 30 value 90.515737
iter 40 value 87.206659
iter 50 value 85.751784
iter 60 value 84.708110
iter 70 value 83.904014
iter 80 value 83.229109
iter 90 value 82.612812
iter 100 value 82.433084
final value 82.433084
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 106.625257
iter 10 value 94.515054
iter 20 value 94.436564
iter 30 value 91.275972
iter 40 value 84.726379
iter 50 value 84.346837
iter 60 value 83.258625
iter 70 value 82.095564
iter 80 value 81.974800
iter 90 value 81.911960
iter 100 value 81.788209
final value 81.788209
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 100.416903
iter 10 value 94.055951
iter 20 value 88.993974
iter 30 value 87.578876
iter 40 value 86.961068
iter 50 value 85.029077
iter 60 value 84.062849
iter 70 value 83.265300
iter 80 value 82.847610
iter 90 value 82.499289
iter 100 value 82.387688
final value 82.387688
stopped after 100 iterations
Fitting Repeat 4
# weights: 305
initial value 100.190980
iter 10 value 93.892703
iter 20 value 87.655022
iter 30 value 86.537265
iter 40 value 83.187783
iter 50 value 82.786384
iter 60 value 82.365096
iter 70 value 82.160131
iter 80 value 82.131588
iter 90 value 82.124500
iter 100 value 82.123455
final value 82.123455
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 111.677538
iter 10 value 94.800113
iter 20 value 87.476542
iter 30 value 86.177504
iter 40 value 85.232848
iter 50 value 83.701144
iter 60 value 83.377984
iter 70 value 83.121235
iter 80 value 82.672323
iter 90 value 82.540825
iter 100 value 82.529371
final value 82.529371
stopped after 100 iterations
Fitting Repeat 1
# weights: 507
initial value 114.449334
iter 10 value 94.173286
iter 20 value 87.830174
iter 30 value 82.768331
iter 40 value 82.014940
iter 50 value 81.715303
iter 60 value 81.513918
iter 70 value 81.350998
iter 80 value 81.250168
iter 90 value 81.199516
iter 100 value 81.186458
final value 81.186458
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 105.516310
iter 10 value 94.386069
iter 20 value 87.049685
iter 30 value 85.717743
iter 40 value 83.568973
iter 50 value 83.270504
iter 60 value 82.945926
iter 70 value 82.290995
iter 80 value 81.951766
iter 90 value 81.803714
iter 100 value 81.552089
final value 81.552089
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 115.600427
iter 10 value 95.236432
iter 20 value 90.936079
iter 30 value 90.407853
iter 40 value 85.663692
iter 50 value 84.170472
iter 60 value 83.918452
iter 70 value 83.506607
iter 80 value 83.297113
iter 90 value 82.919774
iter 100 value 82.461443
final value 82.461443
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 112.013548
iter 10 value 94.500600
iter 20 value 93.716332
iter 30 value 90.935772
iter 40 value 87.998080
iter 50 value 85.750100
iter 60 value 83.435602
iter 70 value 83.036340
iter 80 value 82.736196
iter 90 value 82.483268
iter 100 value 82.073680
final value 82.073680
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 102.686952
iter 10 value 95.749844
iter 20 value 88.885737
iter 30 value 85.613421
iter 40 value 85.321430
iter 50 value 85.135188
iter 60 value 84.688270
iter 70 value 84.596763
iter 80 value 84.549354
iter 90 value 84.522679
iter 100 value 84.009193
final value 84.009193
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 98.155251
final value 94.485799
converged
Fitting Repeat 2
# weights: 103
initial value 97.818752
final value 94.449533
converged
Fitting Repeat 3
# weights: 103
initial value 105.438771
final value 94.485868
converged
Fitting Repeat 4
# weights: 103
initial value 101.494514
iter 10 value 94.485940
iter 20 value 94.484246
final value 94.484211
converged
Fitting Repeat 5
# weights: 103
initial value 97.020941
iter 10 value 94.309864
iter 20 value 94.309628
final value 94.309615
converged
Fitting Repeat 1
# weights: 305
initial value 106.836181
iter 10 value 94.488695
iter 20 value 94.464062
iter 30 value 89.427124
iter 40 value 83.574347
iter 50 value 83.528592
iter 60 value 83.382040
iter 70 value 83.378448
iter 80 value 83.375557
iter 90 value 83.327626
final value 83.327363
converged
Fitting Repeat 2
# weights: 305
initial value 96.833451
iter 10 value 94.314413
iter 20 value 94.309886
iter 30 value 94.309609
iter 40 value 91.599530
iter 50 value 91.220833
iter 60 value 89.999142
iter 70 value 89.984743
iter 80 value 89.582948
iter 90 value 88.096776
iter 100 value 87.167925
final value 87.167925
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 110.365691
iter 10 value 94.488770
iter 20 value 94.484552
iter 30 value 94.312555
iter 40 value 90.928955
iter 50 value 83.623763
iter 60 value 83.535506
final value 83.535103
converged
Fitting Repeat 4
# weights: 305
initial value 97.336282
iter 10 value 94.344691
iter 20 value 94.340247
iter 30 value 94.311028
iter 40 value 94.309253
iter 50 value 91.544783
iter 60 value 90.027223
iter 70 value 88.681426
iter 80 value 83.732333
iter 90 value 83.680904
iter 100 value 83.590530
final value 83.590530
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 97.965791
iter 10 value 94.440480
iter 20 value 92.404347
iter 30 value 92.299208
iter 40 value 91.595768
iter 50 value 91.427845
iter 60 value 91.384375
iter 70 value 91.380331
final value 91.380289
converged
Fitting Repeat 1
# weights: 507
initial value 105.615900
iter 10 value 94.268122
iter 20 value 94.260817
iter 30 value 93.627715
iter 40 value 89.051126
iter 50 value 88.895740
iter 60 value 88.888905
iter 70 value 88.098105
iter 80 value 85.733563
iter 90 value 85.733094
iter 100 value 85.731801
final value 85.731801
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 99.154309
iter 10 value 91.528540
iter 20 value 91.484544
iter 30 value 91.482614
iter 40 value 91.481996
iter 50 value 91.477431
iter 60 value 91.477218
iter 70 value 86.014738
iter 80 value 85.459505
iter 90 value 85.430299
final value 85.429650
converged
Fitting Repeat 3
# weights: 507
initial value 101.728799
iter 10 value 94.489620
iter 20 value 94.378155
iter 30 value 87.219743
iter 40 value 86.931053
iter 50 value 84.780113
iter 60 value 83.829735
iter 70 value 83.563228
iter 80 value 83.562615
iter 90 value 83.375950
iter 100 value 83.308774
final value 83.308774
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 96.503565
iter 10 value 94.363303
iter 20 value 94.066554
iter 30 value 87.686372
iter 40 value 86.775059
iter 50 value 86.761870
iter 60 value 86.740407
iter 70 value 86.467922
iter 80 value 83.257277
iter 90 value 82.660432
iter 100 value 82.369845
final value 82.369845
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 95.421353
iter 10 value 94.491365
iter 20 value 94.484230
iter 30 value 89.701427
iter 40 value 87.689882
iter 50 value 85.759524
iter 60 value 85.486937
iter 70 value 85.468504
iter 80 value 84.816147
iter 90 value 81.079470
iter 100 value 80.830279
final value 80.830279
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 95.959004
final value 94.052910
converged
Fitting Repeat 2
# weights: 103
initial value 98.624566
final value 94.052910
converged
Fitting Repeat 3
# weights: 103
initial value 99.168921
final value 93.867391
converged
Fitting Repeat 4
# weights: 103
initial value 96.724158
iter 10 value 93.359924
iter 20 value 87.478061
iter 30 value 82.596668
iter 40 value 82.268016
iter 50 value 82.165490
final value 82.165378
converged
Fitting Repeat 5
# weights: 103
initial value 102.440153
final value 94.052910
converged
Fitting Repeat 1
# weights: 305
initial value 95.298596
final value 94.052910
converged
Fitting Repeat 2
# weights: 305
initial value 105.371300
final value 93.867391
converged
Fitting Repeat 3
# weights: 305
initial value 99.033118
final value 93.867391
converged
Fitting Repeat 4
# weights: 305
initial value 138.236503
final value 93.628453
converged
Fitting Repeat 5
# weights: 305
initial value 104.318583
final value 93.867391
converged
Fitting Repeat 1
# weights: 507
initial value 103.394392
final value 93.867391
converged
Fitting Repeat 2
# weights: 507
initial value 98.204552
final value 93.422727
converged
Fitting Repeat 3
# weights: 507
initial value 104.350344
iter 10 value 93.894279
final value 93.867391
converged
Fitting Repeat 4
# weights: 507
initial value 104.262014
final value 94.052910
converged
Fitting Repeat 5
# weights: 507
initial value 106.443659
final value 93.867391
converged
Fitting Repeat 1
# weights: 103
initial value 99.168005
iter 10 value 91.284780
iter 20 value 85.637907
iter 30 value 84.673838
iter 40 value 84.522534
iter 50 value 81.523648
iter 60 value 80.174964
iter 70 value 79.329851
iter 80 value 79.121253
final value 79.117486
converged
Fitting Repeat 2
# weights: 103
initial value 99.875491
iter 10 value 93.631145
iter 20 value 87.946026
iter 30 value 87.065719
iter 40 value 86.418387
iter 50 value 86.170453
iter 60 value 85.857340
iter 70 value 83.624638
iter 80 value 83.573065
final value 83.573031
converged
Fitting Repeat 3
# weights: 103
initial value 104.023894
iter 10 value 93.664118
iter 20 value 91.487111
iter 30 value 86.152175
iter 40 value 85.124472
iter 50 value 83.190206
iter 60 value 81.854988
iter 70 value 81.778093
iter 80 value 81.748856
iter 90 value 81.561264
iter 100 value 80.355493
final value 80.355493
stopped after 100 iterations
Fitting Repeat 4
# weights: 103
initial value 100.016757
iter 10 value 93.618885
iter 20 value 88.184188
iter 30 value 81.384108
iter 40 value 80.439992
iter 50 value 79.895712
iter 60 value 79.699931
iter 70 value 79.565214
iter 80 value 79.524419
iter 80 value 79.524419
iter 80 value 79.524419
final value 79.524419
converged
Fitting Repeat 5
# weights: 103
initial value 113.213198
iter 10 value 94.080858
iter 20 value 86.011533
iter 30 value 82.526078
iter 40 value 81.475205
iter 50 value 80.610272
iter 60 value 80.075908
iter 70 value 79.803384
iter 80 value 79.558786
iter 90 value 79.524419
iter 90 value 79.524419
iter 90 value 79.524419
final value 79.524419
converged
Fitting Repeat 1
# weights: 305
initial value 116.934391
iter 10 value 94.139865
iter 20 value 89.950879
iter 30 value 84.975017
iter 40 value 83.315112
iter 50 value 82.730855
iter 60 value 82.149508
iter 70 value 80.541365
iter 80 value 80.095530
iter 90 value 79.781454
iter 100 value 78.926413
final value 78.926413
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 105.739340
iter 10 value 94.460406
iter 20 value 86.023931
iter 30 value 83.575376
iter 40 value 81.551473
iter 50 value 80.087542
iter 60 value 79.539370
iter 70 value 79.439344
iter 80 value 79.146808
iter 90 value 78.678052
iter 100 value 78.519271
final value 78.519271
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 103.840322
iter 10 value 94.071451
iter 20 value 93.482692
iter 30 value 93.364436
iter 40 value 93.347621
iter 50 value 85.800741
iter 60 value 84.960469
iter 70 value 83.024616
iter 80 value 81.792293
iter 90 value 81.405823
iter 100 value 80.657787
final value 80.657787
stopped after 100 iterations
Fitting Repeat 4
# weights: 305
initial value 105.706408
iter 10 value 94.030388
iter 20 value 92.784321
iter 30 value 91.885244
iter 40 value 88.406473
iter 50 value 86.013599
iter 60 value 85.759093
iter 70 value 85.616021
iter 80 value 82.511159
iter 90 value 80.921112
iter 100 value 80.495061
final value 80.495061
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 103.481515
iter 10 value 94.097677
iter 20 value 88.797493
iter 30 value 87.487923
iter 40 value 82.565432
iter 50 value 81.563934
iter 60 value 81.001380
iter 70 value 79.131300
iter 80 value 78.475101
iter 90 value 78.434622
iter 100 value 78.302799
final value 78.302799
stopped after 100 iterations
Fitting Repeat 1
# weights: 507
initial value 105.050920
iter 10 value 94.019706
iter 20 value 87.434601
iter 30 value 82.067546
iter 40 value 81.591269
iter 50 value 80.200514
iter 60 value 79.871950
iter 70 value 78.734489
iter 80 value 78.414928
iter 90 value 78.382115
iter 100 value 78.186464
final value 78.186464
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 111.390720
iter 10 value 94.096737
iter 20 value 92.950701
iter 30 value 84.169071
iter 40 value 83.028689
iter 50 value 80.528115
iter 60 value 80.306762
iter 70 value 80.169068
iter 80 value 79.190604
iter 90 value 78.461745
iter 100 value 77.981784
final value 77.981784
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 108.050996
iter 10 value 95.832237
iter 20 value 92.973950
iter 30 value 91.817220
iter 40 value 85.634513
iter 50 value 83.463611
iter 60 value 83.136370
iter 70 value 81.306025
iter 80 value 79.578378
iter 90 value 79.044363
iter 100 value 78.855244
final value 78.855244
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 110.360400
iter 10 value 94.002047
iter 20 value 90.252790
iter 30 value 84.881179
iter 40 value 83.400210
iter 50 value 80.389893
iter 60 value 79.882271
iter 70 value 79.652952
iter 80 value 79.300604
iter 90 value 78.883021
iter 100 value 78.482437
final value 78.482437
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 114.189659
iter 10 value 94.014720
iter 20 value 90.543689
iter 30 value 83.888643
iter 40 value 81.465746
iter 50 value 81.105132
iter 60 value 80.755270
iter 70 value 79.986841
iter 80 value 79.700836
iter 90 value 79.609865
iter 100 value 79.337267
final value 79.337267
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 98.785411
iter 10 value 94.054802
final value 94.053050
converged
Fitting Repeat 2
# weights: 103
initial value 96.022783
final value 94.054763
converged
Fitting Repeat 3
# weights: 103
initial value 95.904946
final value 94.054625
converged
Fitting Repeat 4
# weights: 103
initial value 95.577738
final value 94.054658
converged
Fitting Repeat 5
# weights: 103
initial value 94.076771
iter 10 value 94.054631
iter 20 value 94.051934
iter 30 value 93.810705
iter 40 value 93.810095
final value 93.810065
converged
Fitting Repeat 1
# weights: 305
initial value 102.196910
iter 10 value 94.057851
iter 20 value 92.518324
iter 30 value 83.282137
iter 40 value 80.930273
iter 50 value 80.402218
iter 60 value 79.124236
iter 70 value 77.838028
iter 80 value 77.558199
iter 90 value 77.491915
iter 100 value 77.413879
final value 77.413879
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 96.417469
iter 10 value 94.058193
iter 20 value 91.994743
iter 30 value 86.481468
iter 40 value 85.783737
iter 50 value 85.782598
iter 60 value 85.782185
final value 85.782175
converged
Fitting Repeat 3
# weights: 305
initial value 96.210436
iter 10 value 94.057224
iter 20 value 94.017218
iter 30 value 83.987428
iter 40 value 83.804887
iter 50 value 80.735907
iter 60 value 80.569383
iter 70 value 80.568284
final value 80.568282
converged
Fitting Repeat 4
# weights: 305
initial value 100.070377
iter 10 value 93.872188
iter 20 value 93.868563
final value 93.868554
converged
Fitting Repeat 5
# weights: 305
initial value 98.908208
iter 10 value 93.872872
iter 20 value 93.613662
iter 30 value 84.475788
iter 40 value 84.413173
iter 50 value 84.411951
iter 60 value 84.411687
iter 70 value 84.411398
iter 80 value 84.411343
final value 84.411299
converged
Fitting Repeat 1
# weights: 507
initial value 100.247327
iter 10 value 93.435129
iter 20 value 93.426612
iter 30 value 93.423167
final value 93.423165
converged
Fitting Repeat 2
# weights: 507
initial value 106.781897
iter 10 value 92.495809
iter 20 value 90.724733
iter 30 value 90.682376
iter 40 value 90.180613
iter 50 value 90.046187
iter 60 value 89.750612
iter 70 value 89.739369
iter 80 value 89.736885
iter 90 value 89.736785
final value 89.736390
converged
Fitting Repeat 3
# weights: 507
initial value 106.710005
iter 10 value 93.762482
iter 20 value 93.733704
iter 30 value 93.711291
iter 40 value 93.706296
iter 50 value 91.991559
iter 60 value 91.658716
iter 70 value 86.924374
iter 80 value 84.289169
iter 90 value 84.179281
final value 84.178430
converged
Fitting Repeat 4
# weights: 507
initial value 127.733854
iter 10 value 94.060853
iter 20 value 93.880490
iter 30 value 93.430684
iter 40 value 93.425246
iter 50 value 88.383584
iter 60 value 84.455748
iter 70 value 84.448023
final value 84.447900
converged
Fitting Repeat 5
# weights: 507
initial value 97.030359
iter 10 value 94.060536
iter 20 value 94.015921
final value 93.867582
converged
Fitting Repeat 1
# weights: 103
initial value 109.680235
iter 10 value 94.112925
final value 94.112903
converged
Fitting Repeat 2
# weights: 103
initial value 105.058003
final value 94.484211
converged
Fitting Repeat 3
# weights: 103
initial value 117.185444
final value 94.484211
converged
Fitting Repeat 4
# weights: 103
initial value 102.196185
final value 94.484211
converged
Fitting Repeat 5
# weights: 103
initial value 95.530946
final value 94.484211
converged
Fitting Repeat 1
# weights: 305
initial value 118.425145
final value 94.484211
converged
Fitting Repeat 2
# weights: 305
initial value 99.484919
iter 10 value 94.112914
final value 94.112903
converged
Fitting Repeat 3
# weights: 305
initial value 95.532052
final value 94.484211
converged
Fitting Repeat 4
# weights: 305
initial value 99.545757
iter 10 value 94.112904
iter 10 value 94.112903
iter 10 value 94.112903
final value 94.112903
converged
Fitting Repeat 5
# weights: 305
initial value 98.851712
iter 10 value 94.484205
final value 94.448052
converged
Fitting Repeat 1
# weights: 507
initial value 95.386130
iter 10 value 94.112941
final value 94.112903
converged
Fitting Repeat 2
# weights: 507
initial value 99.285576
iter 10 value 94.112903
iter 10 value 94.112903
iter 10 value 94.112903
final value 94.112903
converged
Fitting Repeat 3
# weights: 507
initial value 118.788609
iter 10 value 94.585883
iter 20 value 94.400127
final value 94.112903
converged
Fitting Repeat 4
# weights: 507
initial value 103.605271
final value 94.484211
converged
Fitting Repeat 5
# weights: 507
initial value 104.095351
final value 94.484211
converged
Fitting Repeat 1
# weights: 103
initial value 107.013020
iter 10 value 94.567260
iter 20 value 94.462058
iter 30 value 93.258182
iter 40 value 86.846148
iter 50 value 85.107586
iter 60 value 84.460946
iter 70 value 84.181984
iter 80 value 83.706010
iter 90 value 82.996934
iter 100 value 82.357258
final value 82.357258
stopped after 100 iterations
Fitting Repeat 2
# weights: 103
initial value 96.870115
iter 10 value 94.201066
iter 20 value 93.987272
iter 30 value 93.953853
iter 40 value 89.568977
iter 50 value 84.880121
iter 60 value 84.223886
iter 70 value 84.018145
iter 80 value 83.701822
iter 90 value 83.301031
iter 100 value 83.205864
final value 83.205864
stopped after 100 iterations
Fitting Repeat 3
# weights: 103
initial value 111.246201
iter 10 value 94.489710
iter 20 value 94.043738
iter 30 value 93.922875
iter 40 value 88.769879
iter 50 value 87.442501
iter 60 value 85.394583
iter 70 value 85.010578
iter 80 value 84.978666
final value 84.978654
converged
Fitting Repeat 4
# weights: 103
initial value 120.595271
iter 10 value 94.489940
iter 20 value 92.348787
iter 30 value 87.862601
iter 40 value 86.968503
iter 50 value 85.178615
iter 60 value 84.955455
iter 70 value 83.512378
iter 80 value 82.596712
iter 90 value 82.308142
iter 100 value 82.305442
final value 82.305442
stopped after 100 iterations
Fitting Repeat 5
# weights: 103
initial value 96.870429
iter 10 value 94.494677
iter 20 value 94.052815
iter 30 value 90.647965
iter 40 value 86.496006
iter 50 value 85.458786
iter 60 value 84.882498
iter 70 value 83.570307
iter 80 value 82.369772
iter 90 value 82.335521
iter 100 value 82.308871
final value 82.308871
stopped after 100 iterations
Fitting Repeat 1
# weights: 305
initial value 102.058927
iter 10 value 94.894636
iter 20 value 92.990352
iter 30 value 87.637443
iter 40 value 85.801589
iter 50 value 84.327994
iter 60 value 81.576320
iter 70 value 81.225115
iter 80 value 81.122223
iter 90 value 81.051361
iter 100 value 80.933530
final value 80.933530
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 117.058770
iter 10 value 93.623385
iter 20 value 89.091337
iter 30 value 88.060101
iter 40 value 86.431173
iter 50 value 84.494628
iter 60 value 84.340013
iter 70 value 82.800446
iter 80 value 82.237990
iter 90 value 81.688095
iter 100 value 81.573063
final value 81.573063
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 112.543603
iter 10 value 94.328784
iter 20 value 89.182758
iter 30 value 87.661775
iter 40 value 85.744232
iter 50 value 84.300380
iter 60 value 84.052702
iter 70 value 83.900151
iter 80 value 83.578394
iter 90 value 83.395310
iter 100 value 83.354633
final value 83.354633
stopped after 100 iterations
Fitting Repeat 4
# weights: 305
initial value 103.603710
iter 10 value 94.540057
iter 20 value 90.564386
iter 30 value 86.094196
iter 40 value 84.511263
iter 50 value 83.092130
iter 60 value 81.949596
iter 70 value 81.731884
iter 80 value 81.372421
iter 90 value 81.021766
iter 100 value 80.970881
final value 80.970881
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 106.609779
iter 10 value 94.372427
iter 20 value 93.676545
iter 30 value 89.873570
iter 40 value 89.608057
iter 50 value 87.420029
iter 60 value 85.158546
iter 70 value 84.601892
iter 80 value 83.760055
iter 90 value 82.846611
iter 100 value 81.541498
final value 81.541498
stopped after 100 iterations
Fitting Repeat 1
# weights: 507
initial value 128.282910
iter 10 value 94.360585
iter 20 value 90.087343
iter 30 value 85.579192
iter 40 value 84.919558
iter 50 value 84.268782
iter 60 value 84.024638
iter 70 value 83.659245
iter 80 value 83.197998
iter 90 value 82.247190
iter 100 value 81.661797
final value 81.661797
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 109.509163
iter 10 value 99.418631
iter 20 value 87.865260
iter 30 value 85.345869
iter 40 value 84.111179
iter 50 value 83.646445
iter 60 value 83.340357
iter 70 value 82.086259
iter 80 value 80.800390
iter 90 value 80.725697
iter 100 value 80.698723
final value 80.698723
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 120.630399
iter 10 value 94.486121
iter 20 value 89.766407
iter 30 value 84.884597
iter 40 value 84.452930
iter 50 value 83.363584
iter 60 value 81.478532
iter 70 value 81.143640
iter 80 value 81.053050
iter 90 value 80.934705
iter 100 value 80.737778
final value 80.737778
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 112.856733
iter 10 value 94.493025
iter 20 value 91.468301
iter 30 value 86.962236
iter 40 value 86.630257
iter 50 value 86.121102
iter 60 value 85.060614
iter 70 value 83.714328
iter 80 value 83.363458
iter 90 value 83.135639
iter 100 value 82.790110
final value 82.790110
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 108.307393
iter 10 value 93.384906
iter 20 value 90.685122
iter 30 value 83.264704
iter 40 value 82.203133
iter 50 value 81.863048
iter 60 value 81.455873
iter 70 value 81.125278
iter 80 value 80.719275
iter 90 value 80.664241
iter 100 value 80.624838
final value 80.624838
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 97.437137
iter 10 value 93.763043
iter 20 value 93.668714
final value 93.668193
converged
Fitting Repeat 2
# weights: 103
initial value 110.766176
final value 94.485849
converged
Fitting Repeat 3
# weights: 103
initial value 100.143349
final value 94.486245
converged
Fitting Repeat 4
# weights: 103
initial value 95.740586
final value 94.485914
converged
Fitting Repeat 5
# weights: 103
initial value 101.358716
final value 94.486038
converged
Fitting Repeat 1
# weights: 305
initial value 114.410564
iter 10 value 94.269370
iter 20 value 92.268067
iter 30 value 85.460168
iter 40 value 85.114489
iter 50 value 84.490148
iter 60 value 84.486053
final value 84.486014
converged
Fitting Repeat 2
# weights: 305
initial value 106.179679
iter 10 value 92.559535
iter 20 value 91.416961
iter 30 value 91.348601
iter 40 value 91.347062
iter 50 value 91.328205
iter 60 value 86.415236
iter 70 value 83.257499
iter 80 value 83.231480
iter 90 value 82.966618
iter 100 value 82.861895
final value 82.861895
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 97.203887
iter 10 value 94.487032
iter 20 value 94.305842
iter 30 value 93.943228
iter 40 value 90.735748
final value 90.692992
converged
Fitting Repeat 4
# weights: 305
initial value 95.535704
iter 10 value 93.684789
iter 20 value 93.671562
iter 30 value 93.668971
iter 40 value 91.352420
iter 50 value 85.006763
iter 60 value 84.336815
iter 70 value 84.260487
iter 80 value 84.097435
iter 90 value 84.097369
iter 100 value 84.096872
final value 84.096872
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 103.958867
iter 10 value 94.433818
iter 20 value 94.148103
final value 94.113184
converged
Fitting Repeat 1
# weights: 507
initial value 99.561927
iter 10 value 94.492324
iter 20 value 94.439483
iter 30 value 91.081496
iter 40 value 90.653342
iter 50 value 90.614122
iter 60 value 90.427589
iter 70 value 90.401916
iter 80 value 90.356288
iter 90 value 90.217402
iter 100 value 90.121363
final value 90.121363
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 101.405793
iter 10 value 94.489845
iter 20 value 93.910444
iter 30 value 88.093000
iter 40 value 87.740977
iter 50 value 87.739106
iter 60 value 87.736908
iter 70 value 87.616018
final value 87.600954
converged
Fitting Repeat 3
# weights: 507
initial value 99.067948
iter 10 value 94.122024
iter 20 value 94.115441
iter 30 value 93.768593
iter 40 value 92.804910
iter 50 value 84.420862
iter 60 value 83.949259
iter 70 value 82.988088
iter 80 value 82.961334
iter 90 value 81.844877
iter 100 value 81.251178
final value 81.251178
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 126.378359
iter 10 value 94.121037
iter 20 value 94.114683
iter 30 value 93.708795
iter 40 value 93.667362
final value 93.667254
converged
Fitting Repeat 5
# weights: 507
initial value 109.038864
iter 10 value 94.121819
iter 20 value 93.738131
iter 30 value 93.732263
iter 40 value 93.667377
iter 40 value 93.667377
iter 40 value 93.667377
final value 93.667377
converged
Fitting Repeat 1
# weights: 507
initial value 143.198758
iter 10 value 117.898170
iter 20 value 117.550758
iter 30 value 105.154376
iter 40 value 105.054503
final value 105.054497
converged
Fitting Repeat 2
# weights: 507
initial value 125.366194
iter 10 value 110.499947
iter 20 value 106.770839
iter 30 value 106.632431
iter 40 value 106.359634
iter 50 value 105.774532
iter 60 value 105.544923
iter 70 value 105.537290
iter 80 value 105.535282
iter 90 value 105.255308
iter 100 value 105.027945
final value 105.027945
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 162.823806
iter 10 value 117.902437
iter 20 value 117.766192
iter 30 value 117.760202
final value 117.759211
converged
Fitting Repeat 4
# weights: 507
initial value 121.135085
iter 10 value 117.891265
iter 20 value 116.858922
iter 30 value 115.303821
iter 40 value 115.300591
final value 115.300258
converged
Fitting Repeat 5
# weights: 507
initial value 123.557614
iter 10 value 117.766520
iter 20 value 117.515682
final value 117.511525
converged
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 -- Sat Feb 28 00:40:14 2026
***********************************************
Number of test functions: 7
Number of errors: 0
Number of failures: 0
1 Test Suite :
HPiP RUnit Tests - 7 test functions, 0 errors, 0 failures
Number of test functions: 7
Number of errors: 0
Number of failures: 0
Warning messages:
1: `repeats` has no meaning for this resampling method.
2: executing %dopar% sequentially: no parallel backend registered
>
>
>
>
> proc.time()
user system elapsed
40.562 1.190 94.994
HPiP.Rcheck/HPiP-Ex.timings
| name | user | system | elapsed | |
| FSmethod | 33.418 | 0.450 | 33.869 | |
| FreqInteractors | 0.450 | 0.035 | 0.486 | |
| calculateAAC | 0.032 | 0.001 | 0.033 | |
| calculateAutocor | 0.329 | 0.010 | 0.340 | |
| calculateCTDC | 0.072 | 0.001 | 0.073 | |
| calculateCTDD | 0.520 | 0.003 | 0.522 | |
| calculateCTDT | 0.189 | 0.006 | 0.195 | |
| calculateCTriad | 0.381 | 0.012 | 0.393 | |
| calculateDC | 0.085 | 0.001 | 0.085 | |
| calculateF | 0.312 | 0.000 | 0.311 | |
| calculateKSAAP | 0.107 | 0.000 | 0.107 | |
| calculateQD_Sm | 1.654 | 0.011 | 1.666 | |
| calculateTC | 1.481 | 0.023 | 1.504 | |
| calculateTC_Sm | 0.249 | 0.001 | 0.250 | |
| corr_plot | 34.575 | 0.455 | 35.031 | |
| enrichfindP | 0.575 | 0.049 | 11.457 | |
| enrichfind_hp | 0.041 | 0.001 | 0.997 | |
| enrichplot | 0.514 | 0.002 | 0.517 | |
| filter_missing_values | 0.001 | 0.000 | 0.001 | |
| getFASTA | 0.474 | 0.040 | 4.041 | |
| getHPI | 0.001 | 0.000 | 0.001 | |
| get_negativePPI | 0.003 | 0.000 | 0.003 | |
| get_positivePPI | 0.000 | 0.000 | 0.001 | |
| impute_missing_data | 0.003 | 0.000 | 0.003 | |
| plotPPI | 0.100 | 0.000 | 0.099 | |
| pred_ensembel | 12.586 | 0.223 | 11.566 | |
| var_imp | 33.326 | 0.583 | 33.911 | |