Matineh Rahmatbakhsh
| Snapshot Date: 2025-04-21 13:40 -0400 (Mon, 21 Apr 2025) |
| git_url: https://git.bioconductor.org/packages/HPiP |
| git_branch: RELEASE_3_21 |
| git_last_commit: e2435b7 |
| git_last_commit_date: 2025-04-15 12:38:30 -0400 (Tue, 15 Apr 2025) |
| Back to Multiple platform build/check report for BioC 3.21: simplified long |
|
This page was generated on 2025-04-22 13:13 -0400 (Tue, 22 Apr 2025).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo1 | Linux (Ubuntu 24.04.1 LTS) | x86_64 | 4.5.0 RC (2025-04-04 r88126) -- "How About a Twenty-Six" | 4831 |
| palomino7 | Windows Server 2022 Datacenter | x64 | 4.5.0 RC (2025-04-04 r88126 ucrt) -- "How About a Twenty-Six" | 4573 |
| lconway | macOS 12.7.1 Monterey | x86_64 | 4.5.0 RC (2025-04-04 r88126) -- "How About a Twenty-Six" | 4599 |
| kjohnson3 | macOS 13.7.1 Ventura | arm64 | 4.5.0 RC (2025-04-04 r88126) -- "How About a Twenty-Six" | 4553 |
| kunpeng2 | Linux (openEuler 24.03 LTS) | aarch64 | R Under development (unstable) (2025-02-19 r87757) -- "Unsuffered Consequences" | 4570 |
| 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 997/2341 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| HPiP 1.14.0 (landing page) Matineh Rahmatbakhsh
| nebbiolo1 | Linux (Ubuntu 24.04.1 LTS) / x86_64 | OK | OK | OK | | ||||||||
| palomino7 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | | ||||||||
| lconway | macOS 12.7.1 Monterey / x86_64 | OK | OK | OK | OK | | ||||||||
| kjohnson3 | macOS 13.7.1 Ventura / arm64 | OK | OK | OK | OK | | ||||||||
| kunpeng2 | Linux (openEuler 24.03 LTS) / aarch64 | OK | OK | OK | ||||||||||
|
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: 1.14.0 |
| Command: /home/biocbuild/bbs-3.21-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.21-bioc/R/site-library --timings HPiP_1.14.0.tar.gz |
| StartedAt: 2025-04-21 23:15:28 -0400 (Mon, 21 Apr 2025) |
| EndedAt: 2025-04-21 23:31:14 -0400 (Mon, 21 Apr 2025) |
| EllapsedTime: 946.3 seconds |
| RetCode: 0 |
| Status: OK |
| CheckDir: HPiP.Rcheck |
| Warnings: 0 |
##############################################################################
##############################################################################
###
### Running command:
###
### /home/biocbuild/bbs-3.21-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.21-bioc/R/site-library --timings HPiP_1.14.0.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/home/biocbuild/bbs-3.21-bioc/meat/HPiP.Rcheck’
* using R version 4.5.0 RC (2025-04-04 r88126)
* 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 24.04.2 LTS
* using session charset: UTF-8
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.14.0’
* 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 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
var_imp 34.144 0.600 34.749
FSmethod 33.856 0.604 34.463
corr_plot 33.551 0.315 33.940
pred_ensembel 12.919 0.515 12.089
enrichfindP 0.530 0.042 8.023
* 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-3.21-bioc/meat/HPiP.Rcheck/00check.log’
for details.
HPiP.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.21-bioc/R/bin/R CMD INSTALL HPiP ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/bbs-3.21-bioc/R/site-library’ * installing *source* package ‘HPiP’ ... ** this is package ‘HPiP’ version ‘1.14.0’ ** 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 4.5.0 RC (2025-04-04 r88126) -- "How About a Twenty-Six"
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 96.949966
final value 94.484211
converged
Fitting Repeat 2
# weights: 103
initial value 94.971254
final value 94.484211
converged
Fitting Repeat 3
# weights: 103
initial value 100.302836
final value 94.433545
converged
Fitting Repeat 4
# weights: 103
initial value 95.366979
final value 94.484211
converged
Fitting Repeat 5
# weights: 103
initial value 96.617952
final value 94.484211
converged
Fitting Repeat 1
# weights: 305
initial value 114.858489
final value 94.354396
converged
Fitting Repeat 2
# weights: 305
initial value 99.917242
final value 94.484211
converged
Fitting Repeat 3
# weights: 305
initial value 112.327700
final value 94.354396
converged
Fitting Repeat 4
# weights: 305
initial value 111.746263
final value 94.484211
converged
Fitting Repeat 5
# weights: 305
initial value 104.272066
iter 10 value 94.443219
final value 94.354396
converged
Fitting Repeat 1
# weights: 507
initial value 111.244878
final value 94.354396
converged
Fitting Repeat 2
# weights: 507
initial value 99.242820
final value 94.206005
converged
Fitting Repeat 3
# weights: 507
initial value 95.792767
final value 94.312038
converged
Fitting Repeat 4
# weights: 507
initial value 122.991165
iter 10 value 92.518991
final value 92.412929
converged
Fitting Repeat 5
# weights: 507
initial value 99.698824
final value 94.484211
converged
Fitting Repeat 1
# weights: 103
initial value 96.945251
iter 10 value 94.429496
iter 20 value 94.387288
iter 30 value 94.380715
iter 40 value 91.527863
iter 50 value 87.837373
iter 60 value 86.617877
iter 70 value 85.994278
iter 80 value 85.903547
iter 90 value 85.546009
iter 100 value 85.515762
final value 85.515762
stopped after 100 iterations
Fitting Repeat 2
# weights: 103
initial value 104.541088
iter 10 value 94.270559
iter 20 value 89.134652
iter 30 value 87.132341
iter 40 value 86.632992
iter 50 value 85.680679
iter 60 value 85.557242
iter 70 value 85.520048
iter 80 value 85.517433
final value 85.517388
converged
Fitting Repeat 3
# weights: 103
initial value 103.499772
iter 10 value 94.486398
iter 20 value 87.449179
iter 30 value 84.723472
iter 40 value 83.651309
iter 50 value 83.262020
iter 60 value 82.922319
iter 70 value 81.631020
iter 80 value 81.129459
final value 81.125122
converged
Fitting Repeat 4
# weights: 103
initial value 105.493536
iter 10 value 94.489012
iter 20 value 94.407785
iter 30 value 85.881309
iter 40 value 85.054477
iter 50 value 84.856823
iter 60 value 84.178228
iter 70 value 83.216826
iter 80 value 83.163120
final value 83.163109
converged
Fitting Repeat 5
# weights: 103
initial value 108.934695
iter 10 value 94.422781
iter 20 value 88.806943
iter 30 value 86.372373
iter 40 value 85.709225
iter 50 value 84.955884
iter 60 value 84.909837
iter 70 value 84.882910
iter 80 value 84.734236
iter 90 value 84.679524
final value 84.679282
converged
Fitting Repeat 1
# weights: 305
initial value 120.124961
iter 10 value 94.491127
iter 20 value 92.714974
iter 30 value 89.815904
iter 40 value 87.456849
iter 50 value 84.161924
iter 60 value 83.092635
iter 70 value 82.446182
iter 80 value 81.914659
iter 90 value 81.070654
iter 100 value 80.159844
final value 80.159844
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 101.717365
iter 10 value 94.791219
iter 20 value 87.803778
iter 30 value 85.114911
iter 40 value 83.820716
iter 50 value 82.992925
iter 60 value 82.223030
iter 70 value 81.333571
iter 80 value 81.143029
iter 90 value 80.976466
iter 100 value 80.546717
final value 80.546717
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 114.840466
iter 10 value 94.413126
iter 20 value 86.664896
iter 30 value 85.417589
iter 40 value 83.725149
iter 50 value 82.977968
iter 60 value 82.856322
iter 70 value 82.193441
iter 80 value 81.727531
iter 90 value 81.208675
iter 100 value 81.136049
final value 81.136049
stopped after 100 iterations
Fitting Repeat 4
# weights: 305
initial value 103.376115
iter 10 value 94.470031
iter 20 value 94.368011
iter 30 value 92.107622
iter 40 value 86.801160
iter 50 value 84.720589
iter 60 value 83.063466
iter 70 value 82.918635
iter 80 value 82.245049
iter 90 value 81.794073
iter 100 value 80.827018
final value 80.827018
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 103.834220
iter 10 value 94.508385
iter 20 value 94.359389
iter 30 value 94.320036
iter 40 value 93.810359
iter 50 value 90.254632
iter 60 value 88.985128
iter 70 value 84.646074
iter 80 value 83.381055
iter 90 value 81.108766
iter 100 value 80.640433
final value 80.640433
stopped after 100 iterations
Fitting Repeat 1
# weights: 507
initial value 137.392184
iter 10 value 94.572214
iter 20 value 90.753298
iter 30 value 89.648100
iter 40 value 89.096357
iter 50 value 88.214747
iter 60 value 85.657946
iter 70 value 85.308514
iter 80 value 85.265073
iter 90 value 85.139070
iter 100 value 84.391413
final value 84.391413
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 107.445627
iter 10 value 94.613171
iter 20 value 93.086075
iter 30 value 91.510057
iter 40 value 90.442782
iter 50 value 88.924528
iter 60 value 88.374362
iter 70 value 86.997653
iter 80 value 86.254545
iter 90 value 82.414704
iter 100 value 82.057951
final value 82.057951
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 115.639263
iter 10 value 95.292233
iter 20 value 85.589389
iter 30 value 85.019656
iter 40 value 84.505510
iter 50 value 84.397330
iter 60 value 83.831197
iter 70 value 81.810289
iter 80 value 80.045101
iter 90 value 79.721833
iter 100 value 79.343114
final value 79.343114
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 103.962369
iter 10 value 92.963311
iter 20 value 91.211450
iter 30 value 88.045509
iter 40 value 83.262852
iter 50 value 82.724002
iter 60 value 81.429578
iter 70 value 80.613136
iter 80 value 80.189993
iter 90 value 79.689130
iter 100 value 79.348740
final value 79.348740
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 111.622325
iter 10 value 94.582368
iter 20 value 92.595458
iter 30 value 85.923434
iter 40 value 84.515422
iter 50 value 84.011640
iter 60 value 83.634141
iter 70 value 83.427996
iter 80 value 83.235251
iter 90 value 82.764203
iter 100 value 82.004678
final value 82.004678
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 100.715751
final value 94.485990
converged
Fitting Repeat 2
# weights: 103
initial value 110.457552
final value 94.486044
converged
Fitting Repeat 3
# weights: 103
initial value 95.304148
iter 10 value 89.389400
iter 20 value 89.053105
iter 30 value 89.052275
iter 40 value 89.052044
iter 50 value 89.050944
iter 60 value 88.913927
iter 70 value 85.655597
iter 80 value 85.263266
iter 90 value 85.208917
iter 100 value 85.031218
final value 85.031218
stopped after 100 iterations
Fitting Repeat 4
# weights: 103
initial value 96.377873
final value 94.485650
converged
Fitting Repeat 5
# weights: 103
initial value 97.789742
iter 10 value 94.313497
iter 20 value 94.309813
final value 94.308326
converged
Fitting Repeat 1
# weights: 305
initial value 95.970763
iter 10 value 94.359073
iter 20 value 94.183328
iter 30 value 91.698041
iter 40 value 91.658073
iter 50 value 90.931319
iter 60 value 88.987578
iter 70 value 88.940517
final value 88.940033
converged
Fitting Repeat 2
# weights: 305
initial value 94.538665
iter 10 value 94.448757
iter 20 value 94.395007
iter 30 value 94.308523
iter 40 value 94.308393
final value 94.308374
converged
Fitting Repeat 3
# weights: 305
initial value 98.812387
iter 10 value 85.529304
iter 20 value 84.424358
iter 30 value 83.899890
iter 40 value 83.621675
iter 50 value 83.223566
iter 60 value 83.044695
iter 70 value 83.038523
final value 83.038255
converged
Fitting Repeat 4
# weights: 305
initial value 107.959168
iter 10 value 94.486293
final value 94.484222
converged
Fitting Repeat 5
# weights: 305
initial value 101.046399
iter 10 value 94.488937
iter 20 value 94.196802
final value 90.235090
converged
Fitting Repeat 1
# weights: 507
initial value 105.842268
iter 10 value 94.366241
iter 20 value 92.848712
iter 30 value 86.394006
iter 40 value 83.179000
iter 50 value 83.159813
iter 60 value 82.972859
iter 70 value 82.954812
iter 70 value 82.954812
iter 70 value 82.954812
final value 82.954812
converged
Fitting Repeat 2
# weights: 507
initial value 96.615402
iter 10 value 94.390426
iter 20 value 94.361105
iter 30 value 92.506093
iter 40 value 91.080888
final value 91.037545
converged
Fitting Repeat 3
# weights: 507
initial value 107.211029
iter 10 value 94.492350
iter 20 value 94.459115
iter 30 value 91.937811
iter 40 value 85.302280
iter 50 value 85.266947
iter 60 value 85.247586
iter 70 value 84.924780
iter 80 value 84.831871
iter 90 value 84.830506
iter 100 value 84.580639
final value 84.580639
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 103.532287
iter 10 value 93.161361
iter 20 value 93.158824
iter 30 value 93.018962
iter 40 value 93.017869
final value 93.012204
converged
Fitting Repeat 5
# weights: 507
initial value 96.019507
iter 10 value 94.320717
iter 20 value 94.317373
iter 30 value 94.313485
final value 94.308318
converged
Fitting Repeat 1
# weights: 103
initial value 95.682699
final value 94.052910
converged
Fitting Repeat 2
# weights: 103
initial value 97.655699
final value 94.052910
converged
Fitting Repeat 3
# weights: 103
initial value 99.133205
final value 94.052910
converged
Fitting Repeat 4
# weights: 103
initial value 95.763115
final value 94.052910
converged
Fitting Repeat 5
# weights: 103
initial value 95.379883
final value 94.052910
converged
Fitting Repeat 1
# weights: 305
initial value 98.501716
final value 94.038251
converged
Fitting Repeat 2
# weights: 305
initial value 110.147380
final value 92.892737
converged
Fitting Repeat 3
# weights: 305
initial value 107.169307
final value 94.038251
converged
Fitting Repeat 4
# weights: 305
initial value 98.395203
final value 94.052910
converged
Fitting Repeat 5
# weights: 305
initial value 100.006702
final value 93.962011
converged
Fitting Repeat 1
# weights: 507
initial value 105.034227
iter 10 value 93.691898
final value 93.691462
converged
Fitting Repeat 2
# weights: 507
initial value 94.692129
iter 10 value 87.933622
iter 20 value 83.184521
iter 30 value 81.351066
iter 40 value 81.337838
final value 81.333863
converged
Fitting Repeat 3
# weights: 507
initial value 113.308183
final value 94.052910
converged
Fitting Repeat 4
# weights: 507
initial value 122.182046
final value 94.052910
converged
Fitting Repeat 5
# weights: 507
initial value 95.042847
iter 10 value 81.952738
iter 20 value 81.613296
iter 20 value 81.613296
iter 20 value 81.613296
final value 81.613296
converged
Fitting Repeat 1
# weights: 103
initial value 102.877990
iter 10 value 94.057184
iter 20 value 94.054904
iter 30 value 88.024169
iter 40 value 83.438227
iter 50 value 82.837554
iter 60 value 82.313446
iter 70 value 81.805236
iter 80 value 81.624836
final value 81.596028
converged
Fitting Repeat 2
# weights: 103
initial value 101.541556
iter 10 value 94.056697
final value 94.056689
converged
Fitting Repeat 3
# weights: 103
initial value 102.124506
iter 10 value 94.035085
iter 20 value 93.188702
iter 30 value 93.153886
iter 40 value 93.130517
iter 50 value 87.837657
iter 60 value 86.663378
iter 70 value 85.858794
iter 80 value 85.200173
iter 90 value 83.955375
iter 100 value 81.261938
final value 81.261938
stopped after 100 iterations
Fitting Repeat 4
# weights: 103
initial value 105.484325
iter 10 value 94.003263
iter 20 value 89.953471
iter 30 value 84.565022
iter 40 value 84.386582
iter 50 value 83.997642
iter 60 value 82.955309
iter 70 value 82.928468
iter 80 value 80.916738
iter 90 value 80.726153
iter 100 value 80.624408
final value 80.624408
stopped after 100 iterations
Fitting Repeat 5
# weights: 103
initial value 106.207756
iter 10 value 94.044839
iter 20 value 92.646689
iter 30 value 91.270121
iter 40 value 91.225838
iter 50 value 91.191114
iter 60 value 91.182921
iter 70 value 90.473411
iter 80 value 84.088052
iter 90 value 83.130880
iter 100 value 82.169987
final value 82.169987
stopped after 100 iterations
Fitting Repeat 1
# weights: 305
initial value 111.407222
iter 10 value 93.948285
iter 20 value 91.592227
iter 30 value 90.795186
iter 40 value 86.872003
iter 50 value 85.484013
iter 60 value 85.117075
iter 70 value 84.700025
iter 80 value 82.266170
iter 90 value 80.003912
iter 100 value 79.401779
final value 79.401779
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 104.657822
iter 10 value 93.940586
iter 20 value 86.484951
iter 30 value 85.650630
iter 40 value 82.665964
iter 50 value 82.489916
iter 60 value 81.792018
iter 70 value 80.835995
iter 80 value 80.244622
iter 90 value 80.130442
iter 100 value 79.653354
final value 79.653354
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 117.824861
iter 10 value 94.022690
iter 20 value 91.559820
iter 30 value 86.284460
iter 40 value 81.828284
iter 50 value 80.882454
iter 60 value 80.695099
iter 70 value 80.559818
iter 80 value 80.086225
iter 90 value 79.446895
iter 100 value 79.303557
final value 79.303557
stopped after 100 iterations
Fitting Repeat 4
# weights: 305
initial value 112.717929
iter 10 value 94.728189
iter 20 value 88.055024
iter 30 value 85.818221
iter 40 value 84.461913
iter 50 value 81.948819
iter 60 value 81.756722
iter 70 value 81.637210
iter 80 value 79.799861
iter 90 value 79.460578
iter 100 value 79.340279
final value 79.340279
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 99.902712
iter 10 value 94.001572
iter 20 value 89.458580
iter 30 value 84.479853
iter 40 value 82.713471
iter 50 value 80.881949
iter 60 value 79.749516
iter 70 value 79.325268
iter 80 value 79.289329
iter 90 value 79.247229
iter 100 value 79.082131
final value 79.082131
stopped after 100 iterations
Fitting Repeat 1
# weights: 507
initial value 117.404478
iter 10 value 93.989054
iter 20 value 86.374471
iter 30 value 84.248403
iter 40 value 82.685578
iter 50 value 82.361764
iter 60 value 80.866968
iter 70 value 79.901585
iter 80 value 79.025306
iter 90 value 78.959905
iter 100 value 78.897231
final value 78.897231
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 132.532260
iter 10 value 97.128810
iter 20 value 94.308095
iter 30 value 93.339304
iter 40 value 85.919331
iter 50 value 83.840747
iter 60 value 82.706647
iter 70 value 81.043178
iter 80 value 80.638059
iter 90 value 80.515794
iter 100 value 80.481094
final value 80.481094
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 116.383069
iter 10 value 87.759531
iter 20 value 83.504960
iter 30 value 82.651988
iter 40 value 82.373177
iter 50 value 80.392666
iter 60 value 79.490294
iter 70 value 79.398397
iter 80 value 79.279797
iter 90 value 79.247455
iter 100 value 79.221534
final value 79.221534
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 126.936455
iter 10 value 93.904032
iter 20 value 85.274567
iter 30 value 82.128944
iter 40 value 80.948123
iter 50 value 80.397305
iter 60 value 79.679674
iter 70 value 79.486881
iter 80 value 79.055228
iter 90 value 78.874801
iter 100 value 78.782020
final value 78.782020
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 109.786345
iter 10 value 94.045733
iter 20 value 84.919080
iter 30 value 83.098456
iter 40 value 81.835916
iter 50 value 79.755550
iter 60 value 79.432089
iter 70 value 79.269759
iter 80 value 79.236310
iter 90 value 79.185854
iter 100 value 79.078096
final value 79.078096
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 97.606341
final value 94.055108
converged
Fitting Repeat 2
# weights: 103
initial value 95.219781
iter 10 value 94.054734
iter 20 value 94.045702
iter 30 value 90.619450
iter 40 value 90.095187
iter 50 value 90.089200
iter 60 value 90.086231
iter 70 value 90.080718
iter 80 value 90.056724
iter 90 value 90.044123
iter 100 value 90.032195
final value 90.032195
stopped after 100 iterations
Fitting Repeat 3
# weights: 103
initial value 99.946057
final value 94.054603
converged
Fitting Repeat 4
# weights: 103
initial value 99.155164
final value 94.054408
converged
Fitting Repeat 5
# weights: 103
initial value 99.455685
final value 94.054790
converged
Fitting Repeat 1
# weights: 305
initial value 105.791994
iter 10 value 94.057979
iter 20 value 93.922072
iter 30 value 86.991150
iter 40 value 86.980353
final value 86.979342
converged
Fitting Repeat 2
# weights: 305
initial value 100.964867
iter 10 value 94.058000
iter 20 value 93.986874
iter 30 value 85.735974
iter 40 value 85.518998
iter 50 value 84.143395
iter 60 value 80.439356
iter 70 value 79.927009
iter 80 value 79.704743
iter 90 value 79.536630
final value 79.523739
converged
Fitting Repeat 3
# weights: 305
initial value 114.263096
iter 10 value 94.043569
iter 20 value 94.038686
final value 94.038413
converged
Fitting Repeat 4
# weights: 305
initial value 95.356838
iter 10 value 94.056536
iter 20 value 85.047728
iter 30 value 84.662576
iter 40 value 84.659061
iter 50 value 84.639785
iter 60 value 83.157570
iter 70 value 83.155634
iter 80 value 82.880117
iter 90 value 82.293770
iter 100 value 82.037457
final value 82.037457
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 101.873838
iter 10 value 94.057535
iter 20 value 94.000795
iter 30 value 85.718369
iter 40 value 83.745603
iter 50 value 82.877847
iter 60 value 82.875972
iter 70 value 82.862555
iter 80 value 80.977844
final value 80.953297
converged
Fitting Repeat 1
# weights: 507
initial value 124.725039
iter 10 value 94.045775
iter 20 value 94.037486
iter 30 value 89.595242
iter 40 value 81.358668
iter 50 value 79.354854
iter 60 value 78.912994
iter 70 value 78.266144
iter 80 value 78.143389
iter 90 value 78.088008
iter 100 value 78.085614
final value 78.085614
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 107.148009
iter 10 value 84.506618
iter 20 value 83.008147
iter 30 value 82.828687
iter 40 value 82.691639
iter 50 value 82.585656
iter 60 value 82.582585
iter 70 value 82.577892
iter 80 value 81.724003
iter 90 value 81.436656
iter 100 value 81.436525
final value 81.436525
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 105.837841
iter 10 value 94.061059
iter 20 value 94.049369
iter 30 value 93.645209
iter 40 value 92.632283
iter 50 value 91.004533
iter 60 value 90.691120
iter 70 value 89.133114
iter 80 value 83.470209
iter 90 value 83.407615
iter 100 value 83.406372
final value 83.406372
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 102.577784
iter 10 value 94.057510
iter 20 value 94.039323
iter 30 value 94.038849
iter 40 value 94.038587
iter 50 value 94.038513
final value 94.038510
converged
Fitting Repeat 5
# weights: 507
initial value 103.642978
iter 10 value 94.054444
iter 20 value 94.029522
iter 30 value 90.853595
iter 40 value 90.713100
iter 50 value 90.712741
final value 90.712608
converged
Fitting Repeat 1
# weights: 103
initial value 107.301940
final value 94.484211
converged
Fitting Repeat 2
# weights: 103
initial value 101.471296
final value 94.484211
converged
Fitting Repeat 3
# weights: 103
initial value 99.574370
final value 94.484211
converged
Fitting Repeat 4
# weights: 103
initial value 97.816337
final value 94.275362
converged
Fitting Repeat 5
# weights: 103
initial value 98.750970
final value 94.484211
converged
Fitting Repeat 1
# weights: 305
initial value 103.165571
final value 94.484211
converged
Fitting Repeat 2
# weights: 305
initial value 101.305779
iter 10 value 93.938603
final value 93.874286
converged
Fitting Repeat 3
# weights: 305
initial value 94.995033
final value 94.484211
converged
Fitting Repeat 4
# weights: 305
initial value 102.968154
final value 94.484211
converged
Fitting Repeat 5
# weights: 305
initial value 95.919353
iter 10 value 89.696766
iter 20 value 84.358066
iter 30 value 84.139798
iter 40 value 83.902376
final value 83.733853
converged
Fitting Repeat 1
# weights: 507
initial value 109.527034
iter 10 value 93.637294
final value 93.572294
converged
Fitting Repeat 2
# weights: 507
initial value 103.032419
final value 94.484211
converged
Fitting Repeat 3
# weights: 507
initial value 115.107515
final value 94.275362
converged
Fitting Repeat 4
# weights: 507
initial value 107.768852
final value 94.484211
converged
Fitting Repeat 5
# weights: 507
initial value 131.897807
iter 10 value 93.622586
iter 20 value 93.475326
final value 93.475325
converged
Fitting Repeat 1
# weights: 103
initial value 98.951567
iter 10 value 88.969221
iter 20 value 84.553872
iter 30 value 83.051506
iter 40 value 82.699760
iter 50 value 82.603841
iter 60 value 82.557897
final value 82.557832
converged
Fitting Repeat 2
# weights: 103
initial value 103.264797
iter 10 value 94.378597
iter 20 value 84.765805
iter 30 value 83.149265
iter 40 value 82.907168
iter 50 value 82.881777
final value 82.881642
converged
Fitting Repeat 3
# weights: 103
initial value 100.296656
iter 10 value 94.452189
iter 20 value 89.430666
iter 30 value 84.439717
iter 40 value 83.462828
iter 50 value 82.936225
iter 60 value 82.666286
iter 70 value 82.557881
final value 82.557832
converged
Fitting Repeat 4
# weights: 103
initial value 97.781852
iter 10 value 94.414473
iter 20 value 92.593168
iter 30 value 86.423828
iter 40 value 83.469338
iter 50 value 83.034294
iter 60 value 82.891977
iter 70 value 82.879595
final value 82.879593
converged
Fitting Repeat 5
# weights: 103
initial value 96.618661
iter 10 value 94.493457
iter 20 value 94.357785
iter 30 value 91.730839
iter 40 value 90.236310
iter 50 value 89.689554
iter 60 value 84.436122
iter 70 value 83.503799
iter 80 value 83.322298
iter 90 value 83.253321
iter 100 value 82.640490
final value 82.640490
stopped after 100 iterations
Fitting Repeat 1
# weights: 305
initial value 115.377039
iter 10 value 94.584330
iter 20 value 94.240188
iter 30 value 85.383356
iter 40 value 83.404868
iter 50 value 82.246709
iter 60 value 82.081760
iter 70 value 82.003451
iter 80 value 81.918598
iter 90 value 80.627166
iter 100 value 80.522480
final value 80.522480
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 121.508863
iter 10 value 95.428383
iter 20 value 86.962628
iter 30 value 85.771591
iter 40 value 84.817529
iter 50 value 84.214855
iter 60 value 81.979970
iter 70 value 81.689531
iter 80 value 81.618867
iter 90 value 81.580167
iter 100 value 81.530621
final value 81.530621
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 102.427747
iter 10 value 94.493736
iter 20 value 93.032573
iter 30 value 91.790700
iter 40 value 85.658892
iter 50 value 84.361681
iter 60 value 83.388501
iter 70 value 82.142983
iter 80 value 81.041939
iter 90 value 80.847541
iter 100 value 80.415041
final value 80.415041
stopped after 100 iterations
Fitting Repeat 4
# weights: 305
initial value 101.040220
iter 10 value 94.279188
iter 20 value 90.126008
iter 30 value 85.697382
iter 40 value 84.348261
iter 50 value 83.670997
iter 60 value 82.694428
iter 70 value 82.080515
iter 80 value 81.834174
iter 90 value 81.739194
iter 100 value 81.707575
final value 81.707575
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 107.306081
iter 10 value 94.394692
iter 20 value 92.043380
iter 30 value 83.611308
iter 40 value 82.525094
iter 50 value 81.676487
iter 60 value 81.331566
iter 70 value 81.178881
iter 80 value 80.833172
iter 90 value 80.791654
iter 100 value 80.790124
final value 80.790124
stopped after 100 iterations
Fitting Repeat 1
# weights: 507
initial value 122.031177
iter 10 value 94.481460
iter 20 value 88.829077
iter 30 value 86.923968
iter 40 value 84.787123
iter 50 value 82.577138
iter 60 value 82.153634
iter 70 value 81.907082
iter 80 value 81.842245
iter 90 value 81.354023
iter 100 value 80.593724
final value 80.593724
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 106.603884
iter 10 value 94.082677
iter 20 value 90.985093
iter 30 value 87.158895
iter 40 value 84.218087
iter 50 value 82.665234
iter 60 value 81.599102
iter 70 value 80.862260
iter 80 value 80.644371
iter 90 value 80.297163
iter 100 value 80.231285
final value 80.231285
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 131.866730
iter 10 value 93.630427
iter 20 value 89.952972
iter 30 value 83.090736
iter 40 value 81.743331
iter 50 value 81.295394
iter 60 value 80.829422
iter 70 value 80.707818
iter 80 value 80.583409
iter 90 value 80.537677
iter 100 value 80.467549
final value 80.467549
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 128.744871
iter 10 value 94.727483
iter 20 value 85.045911
iter 30 value 84.239170
iter 40 value 82.809753
iter 50 value 81.919040
iter 60 value 81.209766
iter 70 value 80.654454
iter 80 value 80.418684
iter 90 value 80.228757
iter 100 value 80.211083
final value 80.211083
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 111.571244
iter 10 value 96.611257
iter 20 value 93.849019
iter 30 value 84.706763
iter 40 value 83.673891
iter 50 value 82.912195
iter 60 value 81.671613
iter 70 value 81.034263
iter 80 value 80.689792
iter 90 value 80.426664
iter 100 value 80.379299
final value 80.379299
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 106.635789
final value 94.485754
converged
Fitting Repeat 2
# weights: 103
initial value 94.904529
iter 10 value 94.278633
iter 20 value 94.276863
iter 30 value 94.275456
iter 40 value 94.275438
iter 50 value 89.818117
iter 60 value 89.174096
iter 70 value 86.343704
iter 80 value 86.333054
iter 90 value 86.276516
iter 100 value 86.275941
final value 86.275941
stopped after 100 iterations
Fitting Repeat 3
# weights: 103
initial value 95.444243
iter 10 value 94.485917
iter 20 value 94.462701
iter 30 value 91.078171
iter 40 value 90.780759
iter 50 value 90.775908
iter 60 value 90.008652
iter 70 value 89.164692
iter 80 value 89.142981
final value 89.142421
converged
Fitting Repeat 4
# weights: 103
initial value 98.983546
final value 94.449556
converged
Fitting Repeat 5
# weights: 103
initial value 99.578829
final value 94.485747
converged
Fitting Repeat 1
# weights: 305
initial value 105.505494
iter 10 value 94.489173
iter 20 value 92.134101
iter 30 value 85.045695
iter 40 value 85.039486
iter 50 value 85.037071
iter 60 value 85.036786
iter 70 value 85.036304
final value 85.036302
converged
Fitting Repeat 2
# weights: 305
initial value 121.005834
iter 10 value 94.488856
iter 20 value 94.465291
iter 30 value 83.847993
iter 40 value 83.792377
iter 50 value 83.266707
iter 60 value 83.262965
iter 70 value 81.621877
iter 80 value 80.596687
iter 90 value 79.362832
iter 100 value 79.058396
final value 79.058396
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 96.156954
iter 10 value 94.488155
iter 20 value 94.448445
iter 30 value 93.578273
final value 93.572772
converged
Fitting Repeat 4
# weights: 305
initial value 122.242833
iter 10 value 94.489272
iter 20 value 94.070230
iter 30 value 93.520289
iter 40 value 93.448230
iter 50 value 93.444466
iter 60 value 92.637939
iter 70 value 83.800709
iter 80 value 83.786996
iter 90 value 83.540448
iter 100 value 83.211869
final value 83.211869
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 107.562705
iter 10 value 94.489281
iter 20 value 94.483938
iter 30 value 86.405664
iter 40 value 85.959383
iter 50 value 85.956680
iter 60 value 85.955218
iter 70 value 84.955724
iter 80 value 82.033383
iter 90 value 81.465353
iter 100 value 81.317233
final value 81.317233
stopped after 100 iterations
Fitting Repeat 1
# weights: 507
initial value 104.217008
iter 10 value 94.283608
iter 20 value 94.245746
iter 30 value 92.941217
iter 40 value 90.700889
iter 50 value 90.679591
final value 90.679148
converged
Fitting Repeat 2
# weights: 507
initial value 98.750032
iter 10 value 92.622581
iter 20 value 92.616997
iter 30 value 92.584010
iter 40 value 91.643850
iter 50 value 91.598224
iter 60 value 91.597972
final value 91.597969
converged
Fitting Repeat 3
# weights: 507
initial value 117.732256
iter 10 value 93.647544
iter 20 value 93.584120
iter 30 value 93.562277
iter 40 value 93.385154
iter 50 value 85.353864
iter 60 value 82.370676
final value 82.240515
converged
Fitting Repeat 4
# weights: 507
initial value 108.533378
iter 10 value 94.492219
iter 20 value 93.962449
iter 30 value 83.924073
iter 40 value 83.513732
iter 50 value 83.467382
iter 60 value 83.359187
iter 70 value 82.131534
iter 80 value 81.991179
iter 90 value 81.954029
iter 100 value 81.948344
final value 81.948344
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 99.726910
iter 10 value 94.283344
iter 20 value 94.282087
iter 30 value 94.280036
iter 40 value 94.278088
iter 50 value 94.275582
iter 60 value 93.476327
iter 70 value 86.282915
iter 80 value 83.250446
iter 90 value 82.449814
iter 100 value 81.527828
final value 81.527828
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 97.579485
final value 94.275362
converged
Fitting Repeat 2
# weights: 103
initial value 98.718591
final value 94.484211
converged
Fitting Repeat 3
# weights: 103
initial value 104.534055
iter 10 value 89.673181
iter 20 value 88.093330
iter 30 value 87.932143
final value 87.932124
converged
Fitting Repeat 4
# weights: 103
initial value 97.712435
final value 94.484211
converged
Fitting Repeat 5
# weights: 103
initial value 98.377640
iter 10 value 94.290822
final value 94.275362
converged
Fitting Repeat 1
# weights: 305
initial value 104.307697
final value 94.484211
converged
Fitting Repeat 2
# weights: 305
initial value 95.073258
iter 10 value 86.948884
iter 20 value 86.943267
iter 30 value 85.853250
iter 40 value 85.733039
iter 50 value 85.732037
iter 50 value 85.732037
iter 50 value 85.732037
final value 85.732037
converged
Fitting Repeat 3
# weights: 305
initial value 97.821311
final value 94.484211
converged
Fitting Repeat 4
# weights: 305
initial value 113.190137
final value 94.484211
converged
Fitting Repeat 5
# weights: 305
initial value 101.472488
final value 94.484211
converged
Fitting Repeat 1
# weights: 507
initial value 94.646358
final value 94.295858
converged
Fitting Repeat 2
# weights: 507
initial value 105.907721
iter 10 value 94.275652
final value 94.275362
converged
Fitting Repeat 3
# weights: 507
initial value 108.148561
iter 10 value 94.083671
iter 10 value 94.083671
iter 10 value 94.083671
final value 94.083671
converged
Fitting Repeat 4
# weights: 507
initial value 101.087067
final value 94.275362
converged
Fitting Repeat 5
# weights: 507
initial value 110.074937
final value 94.275363
converged
Fitting Repeat 1
# weights: 103
initial value 99.387360
iter 10 value 94.348722
iter 20 value 94.126883
iter 30 value 90.427405
iter 40 value 87.654957
iter 50 value 87.505854
iter 60 value 87.502475
iter 70 value 87.498858
iter 80 value 87.493185
iter 90 value 87.487962
iter 100 value 87.486677
final value 87.486677
stopped after 100 iterations
Fitting Repeat 2
# weights: 103
initial value 119.043305
iter 10 value 94.411646
iter 20 value 86.830323
iter 30 value 86.028827
iter 40 value 85.760569
iter 50 value 85.674304
iter 60 value 85.003561
iter 70 value 84.520820
iter 80 value 84.418261
iter 90 value 84.262372
iter 100 value 84.079743
final value 84.079743
stopped after 100 iterations
Fitting Repeat 3
# weights: 103
initial value 98.916207
iter 10 value 94.436816
iter 20 value 94.152849
iter 30 value 94.136466
iter 40 value 94.133043
iter 50 value 94.132818
iter 60 value 94.092080
iter 70 value 89.889363
iter 80 value 87.360568
iter 90 value 87.051344
iter 100 value 86.887708
final value 86.887708
stopped after 100 iterations
Fitting Repeat 4
# weights: 103
initial value 102.060745
iter 10 value 93.994854
iter 20 value 88.005435
iter 30 value 86.956227
iter 40 value 86.423256
iter 50 value 85.710641
iter 60 value 85.484101
iter 70 value 84.573393
iter 80 value 84.327264
iter 90 value 84.276673
final value 84.274562
converged
Fitting Repeat 5
# weights: 103
initial value 103.169037
iter 10 value 94.472851
iter 20 value 94.336477
iter 30 value 94.152481
iter 40 value 88.178645
iter 50 value 83.114373
iter 60 value 82.391987
iter 70 value 82.210414
iter 80 value 82.176619
iter 90 value 81.511623
iter 100 value 81.166057
final value 81.166057
stopped after 100 iterations
Fitting Repeat 1
# weights: 305
initial value 118.746206
iter 10 value 94.490797
iter 20 value 94.136515
iter 30 value 91.816081
iter 40 value 89.282196
iter 50 value 84.314216
iter 60 value 83.005208
iter 70 value 81.963074
iter 80 value 81.569951
iter 90 value 81.361540
iter 100 value 81.322930
final value 81.322930
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 105.271994
iter 10 value 94.463954
iter 20 value 94.100510
iter 30 value 93.634541
iter 40 value 85.870565
iter 50 value 84.214795
iter 60 value 82.699137
iter 70 value 82.492594
iter 80 value 82.422916
iter 90 value 82.240248
iter 100 value 81.935154
final value 81.935154
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 105.667450
iter 10 value 94.787245
iter 20 value 91.870597
iter 30 value 88.509132
iter 40 value 84.102556
iter 50 value 84.055583
iter 60 value 83.525893
iter 70 value 82.964414
iter 80 value 81.582835
iter 90 value 80.980706
iter 100 value 80.909973
final value 80.909973
stopped after 100 iterations
Fitting Repeat 4
# weights: 305
initial value 100.827741
iter 10 value 92.372489
iter 20 value 90.306836
iter 30 value 85.212332
iter 40 value 84.047706
iter 50 value 83.329913
iter 60 value 81.905697
iter 70 value 80.629628
iter 80 value 79.727055
iter 90 value 79.488834
iter 100 value 79.464809
final value 79.464809
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 101.617001
iter 10 value 94.490375
iter 20 value 94.201467
iter 30 value 84.677266
iter 40 value 83.683166
iter 50 value 83.269331
iter 60 value 81.802712
iter 70 value 81.445346
iter 80 value 81.337518
iter 90 value 81.210184
iter 100 value 81.032250
final value 81.032250
stopped after 100 iterations
Fitting Repeat 1
# weights: 507
initial value 104.684357
iter 10 value 94.544930
iter 20 value 94.208630
iter 30 value 86.020147
iter 40 value 84.495504
iter 50 value 83.352996
iter 60 value 82.484641
iter 70 value 82.191769
iter 80 value 81.819182
iter 90 value 80.909017
iter 100 value 79.948037
final value 79.948037
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 110.396755
iter 10 value 95.292432
iter 20 value 94.446022
iter 30 value 92.887593
iter 40 value 83.723988
iter 50 value 82.578587
iter 60 value 81.668092
iter 70 value 81.225802
iter 80 value 80.859293
iter 90 value 80.745141
iter 100 value 80.470404
final value 80.470404
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 107.290277
iter 10 value 94.556395
iter 20 value 89.627859
iter 30 value 86.057249
iter 40 value 84.874181
iter 50 value 82.814383
iter 60 value 82.480373
iter 70 value 82.325491
iter 80 value 81.898421
iter 90 value 80.577613
iter 100 value 80.282999
final value 80.282999
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 109.440822
iter 10 value 94.293976
iter 20 value 89.528949
iter 30 value 86.545459
iter 40 value 82.994377
iter 50 value 81.937071
iter 60 value 81.435301
iter 70 value 81.164758
iter 80 value 81.010340
iter 90 value 80.829706
iter 100 value 80.761336
final value 80.761336
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 128.922234
iter 10 value 96.135360
iter 20 value 94.946991
iter 30 value 93.269021
iter 40 value 87.930993
iter 50 value 87.288414
iter 60 value 86.423487
iter 70 value 82.601366
iter 80 value 81.685324
iter 90 value 81.487782
iter 100 value 80.847785
final value 80.847785
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 98.484233
final value 94.486174
converged
Fitting Repeat 2
# weights: 103
initial value 100.995521
iter 10 value 94.485686
iter 20 value 94.484210
iter 30 value 94.110760
iter 40 value 88.075047
iter 50 value 85.258284
iter 60 value 85.214301
iter 70 value 85.211868
iter 80 value 85.211203
iter 90 value 85.209893
final value 85.209675
converged
Fitting Repeat 3
# weights: 103
initial value 101.179684
final value 94.486047
converged
Fitting Repeat 4
# weights: 103
initial value 96.214071
final value 94.485938
converged
Fitting Repeat 5
# weights: 103
initial value 96.086772
final value 94.485709
converged
Fitting Repeat 1
# weights: 305
initial value 95.120442
iter 10 value 94.489359
iter 20 value 94.478150
iter 30 value 89.525855
iter 40 value 84.084696
iter 50 value 84.044297
iter 60 value 84.039161
iter 70 value 84.035763
iter 80 value 84.033466
iter 90 value 82.120738
iter 100 value 81.302374
final value 81.302374
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 103.307693
iter 10 value 94.489069
iter 20 value 94.313806
iter 30 value 90.981983
iter 40 value 90.967672
iter 50 value 90.965539
iter 60 value 90.925379
iter 70 value 86.883919
iter 80 value 85.840492
iter 90 value 85.830781
final value 85.829709
converged
Fitting Repeat 3
# weights: 305
initial value 101.094041
iter 10 value 94.488930
iter 20 value 94.484221
iter 20 value 94.484221
iter 20 value 94.484221
final value 94.484221
converged
Fitting Repeat 4
# weights: 305
initial value 96.780910
iter 10 value 93.851512
iter 20 value 89.835026
iter 30 value 89.037740
iter 40 value 89.033763
iter 50 value 88.424209
iter 60 value 88.368464
iter 70 value 88.367521
iter 80 value 88.366723
iter 90 value 86.797015
iter 100 value 86.735805
final value 86.735805
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 113.977884
iter 10 value 94.489379
iter 20 value 94.418333
iter 30 value 94.118988
iter 40 value 86.306384
iter 50 value 85.229225
iter 60 value 85.204984
iter 70 value 85.204624
iter 80 value 84.879658
final value 84.854521
converged
Fitting Repeat 1
# weights: 507
initial value 120.575789
iter 10 value 94.492375
iter 20 value 94.411990
iter 30 value 86.817142
iter 40 value 86.129074
iter 50 value 86.113110
final value 86.112789
converged
Fitting Repeat 2
# weights: 507
initial value 100.856174
iter 10 value 94.285433
iter 20 value 94.283326
iter 30 value 94.040997
iter 40 value 89.667820
iter 50 value 82.677527
iter 60 value 81.927984
iter 70 value 80.630423
iter 80 value 80.343412
iter 90 value 79.953197
iter 100 value 79.644023
final value 79.644023
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 121.479009
iter 10 value 86.475605
iter 20 value 85.729372
iter 30 value 85.685827
iter 40 value 83.564805
iter 50 value 83.324124
iter 60 value 82.917707
iter 70 value 82.874470
iter 80 value 82.848511
iter 90 value 82.843996
iter 100 value 82.774825
final value 82.774825
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 100.521475
iter 10 value 90.998943
iter 20 value 85.819562
iter 30 value 85.791608
final value 85.789296
converged
Fitting Repeat 5
# weights: 507
initial value 106.311199
iter 10 value 94.284087
iter 20 value 94.277777
iter 30 value 94.229070
iter 40 value 92.963914
iter 50 value 86.136821
iter 60 value 85.769316
iter 70 value 85.748056
iter 80 value 85.747828
final value 85.747826
converged
Fitting Repeat 1
# weights: 103
initial value 101.793190
final value 93.836066
converged
Fitting Repeat 2
# weights: 103
initial value 96.209477
final value 94.052910
converged
Fitting Repeat 3
# weights: 103
initial value 106.763333
final value 94.052910
converged
Fitting Repeat 4
# weights: 103
initial value 103.232276
final value 94.052910
converged
Fitting Repeat 5
# weights: 103
initial value 100.269586
final value 94.052910
converged
Fitting Repeat 1
# weights: 305
initial value 112.255704
final value 94.052910
converged
Fitting Repeat 2
# weights: 305
initial value 100.457368
final value 93.628453
converged
Fitting Repeat 3
# weights: 305
initial value 113.444056
iter 10 value 88.561954
iter 20 value 86.570551
iter 30 value 86.524128
final value 86.524080
converged
Fitting Repeat 4
# weights: 305
initial value 94.156439
final value 94.052910
converged
Fitting Repeat 5
# weights: 305
initial value 100.304844
final value 94.052911
converged
Fitting Repeat 1
# weights: 507
initial value 113.480110
final value 94.052910
converged
Fitting Repeat 2
# weights: 507
initial value 97.584118
iter 10 value 92.010009
iter 20 value 86.102474
iter 30 value 83.487279
iter 40 value 82.627829
iter 50 value 82.382959
iter 60 value 82.274620
iter 70 value 82.274396
final value 82.274390
converged
Fitting Repeat 3
# weights: 507
initial value 111.455459
final value 94.052910
converged
Fitting Repeat 4
# weights: 507
initial value 108.693519
final value 93.836066
converged
Fitting Repeat 5
# weights: 507
initial value 96.960775
iter 10 value 93.912644
iter 10 value 93.912644
iter 10 value 93.912644
final value 93.912644
converged
Fitting Repeat 1
# weights: 103
initial value 97.895850
iter 10 value 93.279281
iter 20 value 85.993219
iter 30 value 84.558322
iter 40 value 84.399136
final value 84.395925
converged
Fitting Repeat 2
# weights: 103
initial value 97.534463
iter 10 value 93.766602
iter 20 value 88.032787
iter 30 value 87.511057
iter 40 value 87.385509
iter 50 value 87.371186
iter 60 value 87.370242
iter 70 value 87.350741
iter 80 value 83.211600
iter 90 value 82.012501
iter 100 value 81.841500
final value 81.841500
stopped after 100 iterations
Fitting Repeat 3
# weights: 103
initial value 102.598451
iter 10 value 94.060774
iter 20 value 93.600338
iter 30 value 90.911720
iter 40 value 90.731438
iter 50 value 89.224539
iter 60 value 87.229278
iter 70 value 84.937063
iter 80 value 83.004155
iter 90 value 82.713327
iter 100 value 82.427695
final value 82.427695
stopped after 100 iterations
Fitting Repeat 4
# weights: 103
initial value 96.018172
iter 10 value 90.925718
iter 20 value 86.397893
iter 30 value 85.631708
iter 40 value 83.580713
iter 50 value 83.101701
iter 60 value 82.318518
iter 70 value 81.876582
iter 80 value 81.758936
iter 90 value 81.722117
iter 100 value 81.704141
final value 81.704141
stopped after 100 iterations
Fitting Repeat 5
# weights: 103
initial value 103.466990
iter 10 value 93.886102
iter 20 value 92.661339
iter 30 value 91.030029
iter 40 value 90.632062
iter 50 value 90.402723
iter 60 value 90.366411
iter 70 value 90.342196
iter 80 value 90.332706
final value 90.332683
converged
Fitting Repeat 1
# weights: 305
initial value 101.844277
iter 10 value 94.082711
iter 20 value 93.550299
iter 30 value 85.981228
iter 40 value 85.508896
iter 50 value 84.315159
iter 60 value 83.309783
iter 70 value 83.085596
iter 80 value 82.441675
iter 90 value 81.505925
iter 100 value 81.182500
final value 81.182500
stopped after 100 iterations
Fitting Repeat 2
# weights: 305
initial value 111.607521
iter 10 value 93.915101
iter 20 value 86.361536
iter 30 value 83.275182
iter 40 value 82.736967
iter 50 value 82.169452
iter 60 value 81.794345
iter 70 value 81.552785
iter 80 value 81.440462
iter 90 value 81.406200
iter 100 value 81.341936
final value 81.341936
stopped after 100 iterations
Fitting Repeat 3
# weights: 305
initial value 108.931802
iter 10 value 93.366514
iter 20 value 90.428621
iter 30 value 85.473194
iter 40 value 84.906571
iter 50 value 84.339124
iter 60 value 84.024892
iter 70 value 82.684398
iter 80 value 82.389473
iter 90 value 82.167665
iter 100 value 81.444769
final value 81.444769
stopped after 100 iterations
Fitting Repeat 4
# weights: 305
initial value 105.970517
iter 10 value 94.875845
iter 20 value 87.110707
iter 30 value 86.537001
iter 40 value 84.792867
iter 50 value 84.371566
iter 60 value 82.838267
iter 70 value 82.260852
iter 80 value 81.620777
iter 90 value 81.395079
iter 100 value 81.285705
final value 81.285705
stopped after 100 iterations
Fitting Repeat 5
# weights: 305
initial value 101.641145
iter 10 value 94.538664
iter 20 value 93.197722
iter 30 value 84.344955
iter 40 value 83.516562
iter 50 value 82.079035
iter 60 value 81.785875
iter 70 value 81.030631
iter 80 value 80.877196
iter 90 value 80.863381
iter 100 value 80.858654
final value 80.858654
stopped after 100 iterations
Fitting Repeat 1
# weights: 507
initial value 112.346837
iter 10 value 94.094248
iter 20 value 92.653865
iter 30 value 88.333648
iter 40 value 86.223368
iter 50 value 85.125374
iter 60 value 84.925013
iter 70 value 84.671019
iter 80 value 84.479901
iter 90 value 83.973711
iter 100 value 82.388958
final value 82.388958
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 106.281313
iter 10 value 93.995032
iter 20 value 91.474861
iter 30 value 85.726191
iter 40 value 83.626982
iter 50 value 81.378593
iter 60 value 80.872924
iter 70 value 80.804215
iter 80 value 80.722457
iter 90 value 80.560475
iter 100 value 80.418339
final value 80.418339
stopped after 100 iterations
Fitting Repeat 3
# weights: 507
initial value 131.701731
iter 10 value 93.926910
iter 20 value 92.261320
iter 30 value 87.265749
iter 40 value 85.264378
iter 50 value 83.605656
iter 60 value 82.516302
iter 70 value 81.555829
iter 80 value 80.887102
iter 90 value 80.750178
iter 100 value 80.718112
final value 80.718112
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 112.241109
iter 10 value 93.728760
iter 20 value 85.824540
iter 30 value 84.679726
iter 40 value 84.540861
iter 50 value 83.912361
iter 60 value 82.926088
iter 70 value 82.575502
iter 80 value 81.861928
iter 90 value 81.546822
iter 100 value 81.333471
final value 81.333471
stopped after 100 iterations
Fitting Repeat 5
# weights: 507
initial value 130.439587
iter 10 value 95.425892
iter 20 value 89.915002
iter 30 value 85.537355
iter 40 value 85.013140
iter 50 value 84.437036
iter 60 value 82.851983
iter 70 value 82.632197
iter 80 value 82.236490
iter 90 value 82.048540
iter 100 value 81.584700
final value 81.584700
stopped after 100 iterations
Fitting Repeat 1
# weights: 103
initial value 102.510650
final value 94.054470
converged
Fitting Repeat 2
# weights: 103
initial value 104.017575
final value 93.914029
converged
Fitting Repeat 3
# weights: 103
initial value 98.098673
final value 94.054688
converged
Fitting Repeat 4
# weights: 103
initial value 101.743125
iter 10 value 94.079852
iter 20 value 94.075947
iter 30 value 93.892439
iter 40 value 93.837409
iter 50 value 93.813401
iter 60 value 93.772317
final value 93.771574
converged
Fitting Repeat 5
# weights: 103
initial value 99.635342
iter 10 value 94.054651
iter 20 value 93.904568
iter 30 value 84.564855
iter 40 value 84.455052
iter 50 value 84.441130
final value 84.440839
converged
Fitting Repeat 1
# weights: 305
initial value 96.929276
iter 10 value 93.840601
iter 20 value 93.031069
iter 30 value 84.572952
final value 84.572937
converged
Fitting Repeat 2
# weights: 305
initial value 97.082797
iter 10 value 93.841232
iter 20 value 93.839961
iter 30 value 93.839396
final value 93.839291
converged
Fitting Repeat 3
# weights: 305
initial value 103.175231
iter 10 value 94.057200
iter 20 value 87.116752
iter 30 value 84.784178
iter 40 value 84.221546
final value 83.884891
converged
Fitting Repeat 4
# weights: 305
initial value 94.445428
iter 10 value 93.633339
iter 20 value 93.549973
iter 30 value 84.572600
iter 30 value 84.572600
iter 30 value 84.572599
final value 84.572599
converged
Fitting Repeat 5
# weights: 305
initial value 109.054088
iter 10 value 94.058365
iter 20 value 93.701764
iter 30 value 85.130827
iter 40 value 82.749004
iter 50 value 82.215460
iter 60 value 82.191063
final value 82.190974
converged
Fitting Repeat 1
# weights: 507
initial value 104.593706
iter 10 value 93.844161
iter 20 value 93.627553
iter 30 value 91.925652
iter 40 value 91.303774
iter 50 value 90.928792
iter 60 value 90.787019
iter 70 value 90.536299
iter 80 value 90.150354
iter 90 value 90.067729
iter 100 value 89.990320
final value 89.990320
stopped after 100 iterations
Fitting Repeat 2
# weights: 507
initial value 98.675881
iter 10 value 93.636898
iter 20 value 93.222076
iter 30 value 93.206304
iter 40 value 93.206074
iter 50 value 93.205729
final value 93.205725
converged
Fitting Repeat 3
# weights: 507
initial value 110.297216
iter 10 value 87.604792
iter 20 value 85.534751
iter 30 value 85.520727
iter 40 value 85.500774
iter 50 value 84.321601
iter 60 value 83.813340
iter 70 value 82.055648
iter 80 value 80.304862
iter 90 value 79.692877
iter 100 value 79.403655
final value 79.403655
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 119.191941
iter 10 value 94.025657
iter 20 value 93.995133
iter 30 value 84.721643
iter 40 value 83.851797
final value 83.851581
converged
Fitting Repeat 5
# weights: 507
initial value 96.983933
iter 10 value 94.062409
iter 20 value 94.053851
iter 20 value 94.053850
final value 94.053850
converged
Fitting Repeat 1
# weights: 507
initial value 130.921889
iter 10 value 117.766557
iter 20 value 117.758240
iter 30 value 117.128423
iter 40 value 107.528754
final value 107.522546
converged
Fitting Repeat 2
# weights: 507
initial value 122.410762
iter 10 value 115.455873
iter 20 value 115.449165
iter 30 value 114.529608
iter 40 value 114.315893
final value 114.315881
converged
Fitting Repeat 3
# weights: 507
initial value 126.242208
iter 10 value 117.768710
iter 20 value 117.761038
iter 30 value 114.472838
iter 40 value 110.103067
iter 50 value 109.718442
iter 60 value 108.951415
iter 70 value 108.947377
iter 80 value 108.277443
iter 90 value 105.129578
iter 100 value 99.965516
final value 99.965516
stopped after 100 iterations
Fitting Repeat 4
# weights: 507
initial value 135.421839
iter 10 value 117.899155
iter 20 value 117.872521
iter 30 value 117.512268
iter 40 value 107.066018
iter 50 value 101.755082
iter 60 value 100.457263
iter 70 value 100.324760
iter 80 value 100.320578
iter 90 value 100.319995
final value 100.319155
converged
Fitting Repeat 5
# weights: 507
initial value 122.522315
iter 10 value 117.897934
iter 20 value 115.681495
iter 30 value 107.011196
iter 40 value 107.008817
iter 50 value 107.007513
iter 60 value 107.003154
iter 70 value 106.664742
iter 80 value 105.069256
iter 90 value 104.813942
iter 100 value 104.738756
final value 104.738756
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 -- Mon Apr 21 23:21:34 2025
***********************************************
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
39.806 1.482 153.880
HPiP.Rcheck/HPiP-Ex.timings
| name | user | system | elapsed | |
| FSmethod | 33.856 | 0.604 | 34.463 | |
| FreqInteractors | 0.222 | 0.013 | 0.235 | |
| calculateAAC | 0.035 | 0.006 | 0.042 | |
| calculateAutocor | 0.302 | 0.023 | 0.326 | |
| calculateCTDC | 0.071 | 0.001 | 0.072 | |
| calculateCTDD | 0.520 | 0.009 | 0.530 | |
| calculateCTDT | 0.187 | 0.003 | 0.191 | |
| calculateCTriad | 0.392 | 0.016 | 0.408 | |
| calculateDC | 0.087 | 0.006 | 0.094 | |
| calculateF | 0.338 | 0.003 | 0.342 | |
| calculateKSAAP | 0.093 | 0.005 | 0.098 | |
| calculateQD_Sm | 1.711 | 0.068 | 1.778 | |
| calculateTC | 1.521 | 0.150 | 1.671 | |
| calculateTC_Sm | 0.271 | 0.004 | 0.276 | |
| corr_plot | 33.551 | 0.315 | 33.940 | |
| enrichfindP | 0.530 | 0.042 | 8.023 | |
| enrichfind_hp | 0.101 | 0.005 | 1.069 | |
| enrichplot | 0.361 | 0.001 | 0.362 | |
| filter_missing_values | 0.001 | 0.001 | 0.001 | |
| getFASTA | 0.407 | 0.049 | 4.020 | |
| getHPI | 0.001 | 0.001 | 0.002 | |
| get_negativePPI | 0.001 | 0.003 | 0.004 | |
| get_positivePPI | 0 | 0 | 0 | |
| impute_missing_data | 0.001 | 0.003 | 0.003 | |
| plotPPI | 0.070 | 0.024 | 0.094 | |
| pred_ensembel | 12.919 | 0.515 | 12.089 | |
| var_imp | 34.144 | 0.600 | 34.749 | |