Back to Multiple platform build/check report for BioC 3.16: simplified long |
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This page was generated on 2023-04-12 11:05:07 -0400 (Wed, 12 Apr 2023).
Hostname | OS | Arch (*) | R version | Installed pkgs |
---|---|---|---|---|
nebbiolo2 | Linux (Ubuntu 20.04.5 LTS) | x86_64 | 4.2.3 (2023-03-15) -- "Shortstop Beagle" | 4502 |
palomino4 | Windows Server 2022 Datacenter | x64 | 4.2.3 (2023-03-15 ucrt) -- "Shortstop Beagle" | 4282 |
lconway | macOS 12.5.1 Monterey | x86_64 | 4.2.3 (2023-03-15) -- "Shortstop Beagle" | 4310 |
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 |
To the developers/maintainers of the HPiP package: - Please 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 How and When does the builder pull? When will my changes propagate? for more information. - Make sure to use the following settings in order to reproduce any error or warning you see on this page. |
Package 926/2183 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
HPiP 1.4.3 (landing page) Matineh Rahmatbakhsh
| nebbiolo2 | Linux (Ubuntu 20.04.5 LTS) / x86_64 | OK | OK | OK | ![]() | ||||||||
palomino4 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | ![]() | ||||||||
lconway | macOS 12.5.1 Monterey / x86_64 | OK | OK | OK | OK | ![]() | ||||||||
Package: HPiP |
Version: 1.4.3 |
Command: /home/biocbuild/bbs-3.16-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.16-bioc/R/site-library --timings HPiP_1.4.3.tar.gz |
StartedAt: 2023-04-10 21:19:11 -0400 (Mon, 10 Apr 2023) |
EndedAt: 2023-04-10 21:34:21 -0400 (Mon, 10 Apr 2023) |
EllapsedTime: 910.1 seconds |
RetCode: 0 |
Status: OK |
CheckDir: HPiP.Rcheck |
Warnings: 0 |
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.16-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.16-bioc/R/site-library --timings HPiP_1.4.3.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/home/biocbuild/bbs-3.16-bioc/meat/HPiP.Rcheck’ * using R version 4.2.3 (2023-03-15) * using platform: x86_64-pc-linux-gnu (64-bit) * using session charset: UTF-8 * checking for file ‘HPiP/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘HPiP’ version ‘1.4.3’ * 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 ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking R 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 ... OK * checking Rd metadata ... OK * checking Rd cross-references ... NOTE Package unavailable to check Rd xrefs: ‘ftrCOOL’ * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of ‘data’ directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking R/sysdata.rda ... OK * checking files in ‘vignettes’ ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed var_imp 34.805 0.768 35.574 FSmethod 33.480 0.535 34.017 corr_plot 33.107 0.564 33.672 pred_ensembel 15.258 0.695 12.477 enrichfindP 0.438 0.060 53.618 getFASTA 0.120 0.024 5.184 * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... Running ‘runTests.R’ OK * checking for unstated dependencies in vignettes ... OK * checking package vignettes in ‘inst/doc’ ... OK * checking running R code from vignettes ... ‘HPiP_tutorial.Rmd’ using ‘UTF-8’... OK NONE * checking re-building of vignette outputs ... OK * checking PDF version of manual ... OK * DONE Status: 1 NOTE See ‘/home/biocbuild/bbs-3.16-bioc/meat/HPiP.Rcheck/00check.log’ for details.
HPiP.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.16-bioc/R/bin/R CMD INSTALL HPiP ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/bbs-3.16-bioc/R/site-library’ * installing *source* package ‘HPiP’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (HPiP)
HPiP.Rcheck/tests/runTests.Rout
R version 4.2.3 (2023-03-15) -- "Shortstop Beagle" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) 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 95.820041 iter 10 value 93.773015 final value 93.772973 converged Fitting Repeat 2 # weights: 103 initial value 100.159180 final value 94.484210 converged Fitting Repeat 3 # weights: 103 initial value 96.403491 final value 94.484211 converged Fitting Repeat 4 # weights: 103 initial value 98.004221 final value 94.484211 converged Fitting Repeat 5 # weights: 103 initial value 103.721236 iter 10 value 87.449033 iter 20 value 82.807147 iter 30 value 82.803186 final value 82.803172 converged Fitting Repeat 1 # weights: 305 initial value 97.870637 final value 94.484211 converged Fitting Repeat 2 # weights: 305 initial value 98.335272 final value 94.484211 converged Fitting Repeat 3 # weights: 305 initial value 97.357536 iter 10 value 93.772977 final value 93.772973 converged Fitting Repeat 4 # weights: 305 initial value 98.952322 iter 10 value 93.724818 iter 20 value 93.722253 final value 93.722222 converged Fitting Repeat 5 # weights: 305 initial value 98.895712 iter 10 value 93.725264 final value 93.720302 converged Fitting Repeat 1 # weights: 507 initial value 104.390493 final value 93.772973 converged Fitting Repeat 2 # weights: 507 initial value 99.411594 iter 10 value 93.339959 iter 20 value 93.315622 iter 30 value 93.312850 final value 93.310437 converged Fitting Repeat 3 # weights: 507 initial value 112.851202 final value 94.484211 converged Fitting Repeat 4 # weights: 507 initial value 99.615603 final value 93.772973 converged Fitting Repeat 5 # weights: 507 initial value 110.306439 iter 10 value 93.720315 final value 93.720302 converged Fitting Repeat 1 # weights: 103 initial value 113.461778 iter 10 value 94.147176 iter 20 value 93.729753 iter 30 value 88.774074 iter 40 value 85.149360 iter 50 value 83.396805 iter 60 value 79.596683 iter 70 value 78.165908 iter 80 value 77.812882 iter 90 value 77.810135 final value 77.810089 converged Fitting Repeat 2 # weights: 103 initial value 97.780246 iter 10 value 94.474723 iter 20 value 92.785938 iter 30 value 80.687531 iter 40 value 79.594487 iter 50 value 79.120339 iter 60 value 78.586560 iter 70 value 78.162723 iter 80 value 78.093168 final value 78.093136 converged Fitting Repeat 3 # weights: 103 initial value 109.215402 iter 10 value 96.857768 iter 20 value 94.488915 iter 30 value 90.775068 iter 40 value 86.528566 iter 50 value 85.306347 iter 60 value 85.206210 iter 70 value 81.656622 iter 80 value 81.554784 iter 90 value 81.416633 iter 100 value 81.281517 final value 81.281517 stopped after 100 iterations Fitting Repeat 4 # weights: 103 initial value 103.056624 iter 10 value 94.151617 iter 20 value 81.519142 iter 30 value 81.099286 iter 40 value 80.838540 iter 50 value 80.685376 iter 60 value 80.679549 iter 60 value 80.679548 iter 60 value 80.679548 final value 80.679548 converged Fitting Repeat 5 # weights: 103 initial value 100.879229 iter 10 value 93.613466 iter 20 value 85.941076 iter 30 value 81.602688 iter 40 value 80.641534 iter 50 value 79.432045 iter 60 value 78.850397 iter 70 value 78.353190 iter 80 value 78.098944 final value 78.093136 converged Fitting Repeat 1 # weights: 305 initial value 107.480921 iter 10 value 94.465706 iter 20 value 93.821464 iter 30 value 86.645824 iter 40 value 83.299726 iter 50 value 81.098477 iter 60 value 79.861863 iter 70 value 78.979756 iter 80 value 77.767969 iter 90 value 76.855433 iter 100 value 76.458044 final value 76.458044 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 102.558703 iter 10 value 83.711477 iter 20 value 81.285792 iter 30 value 80.937462 iter 40 value 80.827237 iter 50 value 80.788552 iter 60 value 80.047711 iter 70 value 78.970294 iter 80 value 78.706110 iter 90 value 78.361416 iter 100 value 77.339101 final value 77.339101 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 110.102303 iter 10 value 93.935037 iter 20 value 93.109044 iter 30 value 91.406224 iter 40 value 83.902907 iter 50 value 79.484325 iter 60 value 78.305823 iter 70 value 77.717002 iter 80 value 77.586867 iter 90 value 77.471069 iter 100 value 77.103137 final value 77.103137 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 105.613450 iter 10 value 94.439944 iter 20 value 89.161092 iter 30 value 85.527890 iter 40 value 82.956448 iter 50 value 82.017234 iter 60 value 80.891539 iter 70 value 78.978773 iter 80 value 78.244655 iter 90 value 78.080194 iter 100 value 78.029577 final value 78.029577 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 112.045619 iter 10 value 94.537561 iter 20 value 88.425040 iter 30 value 86.803397 iter 40 value 85.074344 iter 50 value 84.573558 iter 60 value 83.365368 iter 70 value 80.885884 iter 80 value 80.645221 iter 90 value 80.068975 iter 100 value 78.755128 final value 78.755128 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 107.014016 iter 10 value 94.503224 iter 20 value 93.635425 iter 30 value 89.360486 iter 40 value 85.249746 iter 50 value 82.988564 iter 60 value 79.161776 iter 70 value 78.222589 iter 80 value 77.391600 iter 90 value 77.075501 iter 100 value 77.016179 final value 77.016179 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 108.827062 iter 10 value 96.653001 iter 20 value 85.021543 iter 30 value 83.941482 iter 40 value 80.867916 iter 50 value 80.037913 iter 60 value 79.659466 iter 70 value 78.986899 iter 80 value 78.453640 iter 90 value 78.292113 iter 100 value 77.873510 final value 77.873510 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 103.746169 iter 10 value 93.560693 iter 20 value 85.251612 iter 30 value 82.389446 iter 40 value 79.655844 iter 50 value 77.893672 iter 60 value 76.926323 iter 70 value 76.538976 iter 80 value 76.254001 iter 90 value 76.070278 iter 100 value 75.918373 final value 75.918373 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 104.968297 iter 10 value 95.925969 iter 20 value 93.935920 iter 30 value 83.823015 iter 40 value 82.125596 iter 50 value 81.191689 iter 60 value 80.496848 iter 70 value 80.129932 iter 80 value 78.584549 iter 90 value 78.097633 iter 100 value 77.619076 final value 77.619076 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 115.958553 iter 10 value 94.612754 iter 20 value 94.419328 iter 30 value 84.581216 iter 40 value 83.163437 iter 50 value 82.215023 iter 60 value 81.283309 iter 70 value 80.337890 iter 80 value 78.843755 iter 90 value 77.341215 iter 100 value 77.152556 final value 77.152556 stopped after 100 iterations Fitting Repeat 1 # weights: 103 initial value 98.791617 final value 94.485807 converged Fitting Repeat 2 # weights: 103 initial value 109.764896 iter 10 value 93.775511 iter 20 value 93.775167 iter 30 value 93.773718 final value 93.773708 converged Fitting Repeat 3 # weights: 103 initial value 103.799516 final value 94.485851 converged Fitting Repeat 4 # weights: 103 initial value 94.589424 iter 10 value 94.114606 iter 20 value 94.114074 iter 30 value 92.969297 iter 40 value 90.078539 iter 50 value 87.072967 iter 60 value 80.278532 iter 70 value 79.942060 iter 80 value 79.922353 iter 90 value 77.835206 iter 100 value 76.803889 final value 76.803889 stopped after 100 iterations Fitting Repeat 5 # weights: 103 initial value 105.393761 final value 94.486055 converged Fitting Repeat 1 # weights: 305 initial value 97.761251 iter 10 value 85.147771 iter 20 value 85.113096 iter 30 value 85.106349 iter 40 value 85.104966 iter 50 value 84.186127 iter 60 value 83.919277 final value 83.871454 converged Fitting Repeat 2 # weights: 305 initial value 101.670309 iter 10 value 93.725720 iter 20 value 93.724917 iter 30 value 93.498465 iter 40 value 82.953479 final value 81.460859 converged Fitting Repeat 3 # weights: 305 initial value 97.168582 iter 10 value 93.782720 iter 20 value 93.777940 iter 30 value 93.768828 iter 40 value 93.509762 final value 93.509253 converged Fitting Repeat 4 # weights: 305 initial value 113.338274 iter 10 value 85.158064 iter 20 value 85.111218 iter 30 value 85.110131 iter 40 value 83.268006 iter 50 value 83.250744 iter 60 value 83.249816 iter 70 value 83.169866 iter 80 value 83.127794 iter 90 value 82.962354 final value 82.951178 converged Fitting Repeat 5 # weights: 305 initial value 106.566052 iter 10 value 94.488571 iter 20 value 94.470555 iter 30 value 90.548805 iter 40 value 82.686024 iter 50 value 82.564070 iter 60 value 82.562342 iter 70 value 82.320322 iter 80 value 79.363739 iter 90 value 78.074291 final value 78.015837 converged Fitting Repeat 1 # weights: 507 initial value 108.034777 iter 10 value 89.036154 iter 20 value 85.628512 iter 30 value 84.301768 iter 40 value 83.450962 iter 50 value 83.130632 iter 60 value 83.129222 iter 70 value 83.126664 final value 83.126649 converged Fitting Repeat 2 # weights: 507 initial value 104.013679 iter 10 value 93.896470 iter 20 value 93.729134 iter 30 value 93.725437 iter 40 value 88.267534 iter 50 value 84.907724 final value 84.837730 converged Fitting Repeat 3 # weights: 507 initial value 111.896600 iter 10 value 93.782778 iter 20 value 93.781506 iter 30 value 93.713065 iter 40 value 92.767993 iter 50 value 83.104238 iter 60 value 81.875562 iter 70 value 79.208675 iter 80 value 78.426015 iter 90 value 78.356539 iter 100 value 78.268789 final value 78.268789 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 116.677044 iter 10 value 94.492499 iter 20 value 94.482063 iter 30 value 87.738083 iter 40 value 82.810775 iter 50 value 82.803852 iter 60 value 82.791876 iter 70 value 81.820483 iter 80 value 81.759654 iter 90 value 81.258307 iter 100 value 81.249830 final value 81.249830 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 127.496838 iter 10 value 94.113810 iter 20 value 94.107212 iter 30 value 93.788734 iter 30 value 93.788734 iter 30 value 93.788733 final value 93.788733 converged Fitting Repeat 1 # weights: 103 initial value 96.492931 final value 94.455556 converged Fitting Repeat 2 # weights: 103 initial value 106.299916 final value 94.484211 converged Fitting Repeat 3 # weights: 103 initial value 103.430347 final value 94.484211 converged Fitting Repeat 4 # weights: 103 initial value 99.337410 final value 94.484211 converged Fitting Repeat 5 # weights: 103 initial value 103.587658 final value 94.484211 converged Fitting Repeat 1 # weights: 305 initial value 114.917032 final value 94.484211 converged Fitting Repeat 2 # weights: 305 initial value 107.875158 final value 94.484211 converged Fitting Repeat 3 # weights: 305 initial value 97.684568 final value 94.275362 converged Fitting Repeat 4 # weights: 305 initial value 109.363721 iter 10 value 94.406449 iter 20 value 94.275362 iter 20 value 94.275362 iter 20 value 94.275362 final value 94.275362 converged Fitting Repeat 5 # weights: 305 initial value 108.243850 final value 94.484211 converged Fitting Repeat 1 # weights: 507 initial value 95.886261 final value 94.484211 converged Fitting Repeat 2 # weights: 507 initial value 114.692137 final value 94.484211 converged Fitting Repeat 3 # weights: 507 initial value 140.594790 iter 10 value 94.474345 iter 20 value 94.370270 final value 94.338750 converged Fitting Repeat 4 # weights: 507 initial value 99.089794 iter 10 value 94.181913 iter 20 value 87.650832 iter 30 value 87.434126 iter 40 value 87.430354 final value 87.430350 converged Fitting Repeat 5 # weights: 507 initial value 98.506916 iter 10 value 94.315986 iter 20 value 89.507451 iter 30 value 89.432806 final value 89.432716 converged Fitting Repeat 1 # weights: 103 initial value 107.988077 iter 10 value 93.081686 iter 20 value 87.476922 iter 30 value 86.274844 iter 40 value 86.211233 iter 50 value 86.133932 iter 60 value 86.106739 iter 60 value 86.106739 iter 60 value 86.106739 final value 86.106739 converged Fitting Repeat 2 # weights: 103 initial value 100.753279 iter 10 value 94.490799 iter 20 value 93.537422 iter 30 value 87.943037 iter 40 value 86.720805 iter 50 value 85.663496 iter 60 value 85.168845 iter 70 value 84.360428 iter 80 value 83.923816 iter 90 value 83.883336 iter 100 value 83.850325 final value 83.850325 stopped after 100 iterations Fitting Repeat 3 # weights: 103 initial value 99.287631 iter 10 value 94.446980 iter 20 value 92.449050 iter 30 value 91.538674 iter 40 value 86.981171 iter 50 value 86.911057 iter 60 value 86.072188 iter 70 value 85.619460 iter 80 value 85.519538 iter 90 value 85.470737 final value 85.470728 converged Fitting Repeat 4 # weights: 103 initial value 106.109680 iter 10 value 94.467365 iter 20 value 93.629896 iter 30 value 91.542336 iter 40 value 89.638995 iter 50 value 86.978508 iter 60 value 86.465005 iter 70 value 86.365061 iter 80 value 86.277268 final value 86.276465 converged Fitting Repeat 5 # weights: 103 initial value 99.362232 iter 10 value 94.488360 iter 20 value 94.130796 iter 30 value 94.115747 iter 40 value 93.987292 iter 50 value 87.234729 iter 60 value 86.411163 iter 70 value 86.355912 iter 80 value 86.316555 iter 90 value 86.276517 final value 86.276466 converged Fitting Repeat 1 # weights: 305 initial value 125.978431 iter 10 value 94.559179 iter 20 value 87.855476 iter 30 value 86.378107 iter 40 value 84.230283 iter 50 value 83.589853 iter 60 value 82.905328 iter 70 value 82.799440 iter 80 value 82.617792 iter 90 value 82.396572 iter 100 value 82.280339 final value 82.280339 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 109.670577 iter 10 value 94.357429 iter 20 value 92.703432 iter 30 value 86.867024 iter 40 value 85.825725 iter 50 value 85.541602 iter 60 value 85.205031 iter 70 value 85.028674 iter 80 value 84.413287 iter 90 value 83.180559 iter 100 value 82.786822 final value 82.786822 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 101.673621 iter 10 value 94.282722 iter 20 value 87.898255 iter 30 value 86.570580 iter 40 value 86.392168 iter 50 value 85.739674 iter 60 value 85.338701 iter 70 value 85.270881 iter 80 value 84.512338 iter 90 value 83.893520 iter 100 value 83.339305 final value 83.339305 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 102.301390 iter 10 value 94.620190 iter 20 value 91.344903 iter 30 value 85.853018 iter 40 value 84.694244 iter 50 value 84.401594 iter 60 value 83.963589 iter 70 value 83.916777 iter 80 value 83.910085 iter 90 value 83.890030 iter 100 value 83.870229 final value 83.870229 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 107.241035 iter 10 value 95.317290 iter 20 value 88.703828 iter 30 value 87.030226 iter 40 value 85.834855 iter 50 value 85.440098 iter 60 value 85.233601 iter 70 value 85.116136 iter 80 value 85.044267 iter 90 value 84.624136 iter 100 value 83.736773 final value 83.736773 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 110.040616 iter 10 value 94.866358 iter 20 value 94.728878 iter 30 value 89.979590 iter 40 value 86.109061 iter 50 value 84.881560 iter 60 value 84.231807 iter 70 value 83.152622 iter 80 value 82.802282 iter 90 value 82.625641 iter 100 value 82.604007 final value 82.604007 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 118.887243 iter 10 value 94.341282 iter 20 value 88.557894 iter 30 value 87.504082 iter 40 value 86.253826 iter 50 value 84.508516 iter 60 value 83.528735 iter 70 value 83.271034 iter 80 value 83.167416 iter 90 value 83.085399 iter 100 value 83.039212 final value 83.039212 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 119.007422 iter 10 value 94.485195 iter 20 value 93.747518 iter 30 value 88.376243 iter 40 value 86.364251 iter 50 value 85.541296 iter 60 value 85.047210 iter 70 value 84.762666 iter 80 value 84.722457 iter 90 value 84.614612 iter 100 value 84.375856 final value 84.375856 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 114.693536 iter 10 value 96.511922 iter 20 value 93.147698 iter 30 value 88.286352 iter 40 value 86.722813 iter 50 value 85.937829 iter 60 value 84.366365 iter 70 value 83.749191 iter 80 value 83.296528 iter 90 value 82.919929 iter 100 value 82.639389 final value 82.639389 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 112.242504 iter 10 value 94.437320 iter 20 value 88.420065 iter 30 value 87.628306 iter 40 value 84.895939 iter 50 value 84.344804 iter 60 value 84.011451 iter 70 value 83.538668 iter 80 value 82.781761 iter 90 value 82.611749 iter 100 value 82.452910 final value 82.452910 stopped after 100 iterations Fitting Repeat 1 # weights: 103 initial value 99.366414 iter 10 value 94.290268 iter 20 value 94.290077 iter 30 value 94.032942 iter 40 value 92.360772 iter 50 value 89.609352 iter 60 value 87.546968 iter 70 value 87.172733 iter 80 value 87.162947 iter 90 value 86.809980 final value 86.796643 converged Fitting Repeat 2 # weights: 103 initial value 96.983202 iter 10 value 87.402525 iter 20 value 87.100597 iter 30 value 86.700253 iter 40 value 85.849144 iter 50 value 85.809864 final value 85.809582 converged Fitting Repeat 3 # weights: 103 initial value 106.562972 final value 94.485999 converged Fitting Repeat 4 # weights: 103 initial value 95.787347 final value 94.485966 converged Fitting Repeat 5 # weights: 103 initial value 96.173067 final value 94.485716 converged Fitting Repeat 1 # weights: 305 initial value 111.790513 iter 10 value 94.460165 iter 20 value 89.918516 iter 30 value 86.645125 iter 40 value 86.578036 iter 50 value 86.577891 final value 86.577863 converged Fitting Repeat 2 # weights: 305 initial value 98.226950 iter 10 value 87.528490 iter 20 value 86.878918 iter 30 value 86.872018 iter 40 value 86.871414 final value 86.870907 converged Fitting Repeat 3 # weights: 305 initial value 108.320666 iter 10 value 94.489544 iter 20 value 94.484730 final value 94.484558 converged Fitting Repeat 4 # weights: 305 initial value 112.106124 iter 10 value 94.489248 iter 20 value 94.484506 iter 30 value 94.474460 iter 40 value 92.320795 iter 50 value 92.285845 iter 60 value 92.276857 iter 70 value 92.260832 iter 80 value 90.061484 iter 90 value 90.022326 iter 100 value 90.020411 final value 90.020411 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 102.062465 iter 10 value 94.279753 iter 20 value 91.573934 iter 30 value 86.443192 iter 40 value 86.441303 iter 50 value 86.433784 iter 60 value 85.573318 iter 70 value 84.395610 iter 80 value 84.282298 iter 90 value 84.164416 iter 100 value 84.163972 final value 84.163972 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 106.795449 iter 10 value 94.492103 iter 20 value 93.625768 iter 30 value 90.489498 final value 90.489450 converged Fitting Repeat 2 # weights: 507 initial value 105.142052 iter 10 value 94.492249 iter 20 value 94.423406 iter 30 value 92.195490 iter 40 value 87.040729 iter 50 value 87.031338 iter 60 value 84.900335 iter 70 value 83.645794 iter 80 value 83.105270 iter 90 value 82.093049 iter 100 value 81.980741 final value 81.980741 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 103.054595 iter 10 value 94.283873 iter 20 value 94.276384 iter 30 value 94.275461 iter 40 value 90.371670 iter 50 value 87.500865 iter 60 value 86.040269 iter 70 value 83.648094 iter 80 value 83.237029 iter 90 value 83.233742 iter 100 value 83.229134 final value 83.229134 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 102.099866 iter 10 value 94.492127 iter 20 value 94.443892 iter 30 value 92.507965 iter 40 value 89.558238 iter 50 value 89.039057 iter 60 value 87.912039 iter 70 value 87.680068 iter 80 value 87.061232 iter 90 value 86.168838 iter 100 value 86.059170 final value 86.059170 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 96.721863 iter 10 value 94.284238 iter 20 value 94.280654 iter 30 value 89.637592 iter 40 value 87.622348 final value 87.622331 converged Fitting Repeat 1 # weights: 103 initial value 105.663501 final value 94.052910 converged Fitting Repeat 2 # weights: 103 initial value 101.986589 final value 94.052910 converged Fitting Repeat 3 # weights: 103 initial value 113.191295 final value 94.052910 converged Fitting Repeat 4 # weights: 103 initial value 97.441215 final value 94.052910 converged Fitting Repeat 5 # weights: 103 initial value 100.571736 final value 94.052910 converged Fitting Repeat 1 # weights: 305 initial value 99.469403 final value 94.050051 converged Fitting Repeat 2 # weights: 305 initial value 99.150642 final value 94.052910 converged Fitting Repeat 3 # weights: 305 initial value 97.724948 iter 10 value 93.446091 iter 20 value 88.640371 iter 30 value 86.618247 iter 40 value 86.613670 final value 86.613513 converged Fitting Repeat 4 # weights: 305 initial value 101.817843 final value 94.038251 converged Fitting Repeat 5 # weights: 305 initial value 94.925706 final value 94.052910 converged Fitting Repeat 1 # weights: 507 initial value 101.687894 iter 10 value 84.690257 iter 20 value 82.739047 iter 30 value 82.734442 final value 82.730415 converged Fitting Repeat 2 # weights: 507 initial value 103.451419 iter 10 value 93.536542 iter 20 value 93.317137 iter 30 value 93.131855 final value 93.129023 converged Fitting Repeat 3 # weights: 507 initial value 106.093339 iter 10 value 93.994184 final value 93.993336 converged Fitting Repeat 4 # weights: 507 initial value 98.768524 iter 10 value 93.884351 final value 93.810106 converged Fitting Repeat 5 # weights: 507 initial value 111.522718 iter 10 value 88.212550 final value 88.170690 converged Fitting Repeat 1 # weights: 103 initial value 113.080570 iter 10 value 93.289069 iter 20 value 89.575378 iter 30 value 88.005554 iter 40 value 83.716863 iter 50 value 82.644760 iter 60 value 82.312953 iter 70 value 82.274192 final value 82.274179 converged Fitting Repeat 2 # weights: 103 initial value 98.401991 iter 10 value 94.056354 iter 20 value 83.916539 iter 30 value 83.405008 iter 40 value 82.453935 iter 50 value 82.286656 iter 60 value 82.274184 final value 82.274178 converged Fitting Repeat 3 # weights: 103 initial value 97.602193 iter 10 value 90.951653 iter 20 value 87.859899 iter 30 value 87.189126 iter 40 value 84.619337 iter 50 value 83.125756 iter 60 value 83.073176 iter 70 value 83.070275 iter 80 value 83.069509 iter 90 value 83.069089 final value 83.068985 converged Fitting Repeat 4 # weights: 103 initial value 105.918321 iter 10 value 94.064018 iter 20 value 93.937635 iter 30 value 90.157579 iter 40 value 85.602813 iter 50 value 84.946402 iter 60 value 84.117331 iter 70 value 82.152724 iter 80 value 80.433227 iter 90 value 80.193069 final value 80.135004 converged Fitting Repeat 5 # weights: 103 initial value 96.706321 iter 10 value 92.673567 iter 20 value 85.936564 iter 30 value 85.357352 iter 40 value 85.119354 iter 50 value 84.866745 iter 60 value 84.470672 final value 84.470604 converged Fitting Repeat 1 # weights: 305 initial value 106.404541 iter 10 value 94.049693 iter 20 value 85.883053 iter 30 value 85.216087 iter 40 value 84.604752 iter 50 value 83.889201 iter 60 value 82.655382 iter 70 value 82.093411 iter 80 value 80.218806 iter 90 value 79.543006 iter 100 value 79.155820 final value 79.155820 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 102.246956 iter 10 value 94.111398 iter 20 value 92.841837 iter 30 value 91.791511 iter 40 value 89.873814 iter 50 value 83.143751 iter 60 value 80.251419 iter 70 value 79.655853 iter 80 value 79.340217 iter 90 value 79.304174 iter 100 value 79.281201 final value 79.281201 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 104.329683 iter 10 value 93.687447 iter 20 value 89.421545 iter 30 value 87.843724 iter 40 value 85.158458 iter 50 value 81.360623 iter 60 value 80.966684 iter 70 value 80.480226 iter 80 value 79.587021 iter 90 value 79.419054 iter 100 value 79.179541 final value 79.179541 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 100.891040 iter 10 value 94.948069 iter 20 value 85.841807 iter 30 value 85.095782 iter 40 value 83.815014 iter 50 value 82.619550 iter 60 value 82.148107 iter 70 value 80.369390 iter 80 value 79.947206 iter 90 value 79.763798 iter 100 value 79.373086 final value 79.373086 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 107.034358 iter 10 value 94.017243 iter 20 value 89.659739 iter 30 value 83.784820 iter 40 value 82.863264 iter 50 value 81.748244 iter 60 value 80.285838 iter 70 value 79.034370 iter 80 value 78.855114 iter 90 value 78.826523 iter 100 value 78.820745 final value 78.820745 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 108.155629 iter 10 value 94.088865 iter 20 value 92.600634 iter 30 value 84.836775 iter 40 value 83.830570 iter 50 value 83.076516 iter 60 value 81.965783 iter 70 value 81.906682 iter 80 value 81.661364 iter 90 value 81.097398 iter 100 value 79.787171 final value 79.787171 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 108.080164 iter 10 value 93.890795 iter 20 value 85.559075 iter 30 value 82.322000 iter 40 value 80.509723 iter 50 value 80.134882 iter 60 value 79.330709 iter 70 value 79.145464 iter 80 value 79.117742 iter 90 value 79.061935 iter 100 value 78.972507 final value 78.972507 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 114.800601 iter 10 value 95.015826 iter 20 value 93.783261 iter 30 value 92.347337 iter 40 value 88.348538 iter 50 value 82.222319 iter 60 value 81.115344 iter 70 value 79.706957 iter 80 value 79.034716 iter 90 value 78.747873 iter 100 value 78.513167 final value 78.513167 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 107.501152 iter 10 value 94.137879 iter 20 value 93.963662 iter 30 value 90.476325 iter 40 value 88.858806 iter 50 value 83.568720 iter 60 value 81.726886 iter 70 value 81.069941 iter 80 value 80.849650 iter 90 value 80.535138 iter 100 value 79.935683 final value 79.935683 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 107.876970 iter 10 value 94.086402 iter 20 value 93.501825 iter 30 value 88.215849 iter 40 value 85.387046 iter 50 value 83.198375 iter 60 value 82.562105 iter 70 value 81.923158 iter 80 value 81.094700 iter 90 value 81.052318 iter 100 value 80.687907 final value 80.687907 stopped after 100 iterations Fitting Repeat 1 # weights: 103 initial value 95.159129 iter 10 value 90.075994 iter 20 value 90.071840 iter 30 value 90.039573 iter 40 value 90.018800 iter 50 value 90.011597 iter 60 value 90.011439 iter 70 value 90.010670 final value 90.009872 converged Fitting Repeat 2 # weights: 103 initial value 115.420579 iter 10 value 93.715895 iter 20 value 93.469491 iter 30 value 83.118335 iter 40 value 82.335222 iter 50 value 82.333183 iter 60 value 82.332874 final value 82.332824 converged Fitting Repeat 3 # weights: 103 initial value 109.114046 final value 94.054458 converged Fitting Repeat 4 # weights: 103 initial value 101.307979 final value 94.054583 converged Fitting Repeat 5 # weights: 103 initial value 95.352895 final value 94.054431 converged Fitting Repeat 1 # weights: 305 initial value 108.241917 iter 10 value 94.043433 iter 20 value 94.038816 iter 30 value 93.775800 iter 40 value 90.670072 final value 90.670057 converged Fitting Repeat 2 # weights: 305 initial value 119.506289 iter 10 value 94.057831 iter 20 value 94.034813 iter 30 value 84.893992 iter 40 value 83.896769 iter 50 value 83.723778 iter 60 value 83.718684 iter 70 value 83.713800 iter 80 value 83.393941 iter 90 value 83.081904 iter 100 value 82.015139 final value 82.015139 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 96.347339 iter 10 value 93.611871 iter 20 value 93.546952 iter 30 value 84.046072 final value 83.911982 converged Fitting Repeat 4 # weights: 305 initial value 119.962035 iter 10 value 94.057732 iter 20 value 93.536459 iter 30 value 86.603194 iter 40 value 84.831046 iter 50 value 84.795136 iter 60 value 84.604078 iter 70 value 84.573644 iter 80 value 84.572905 iter 90 value 84.571793 final value 84.571378 converged Fitting Repeat 5 # weights: 305 initial value 95.720620 iter 10 value 93.633337 iter 20 value 90.638535 iter 30 value 89.812036 iter 40 value 89.565260 iter 50 value 89.222305 iter 60 value 89.220310 iter 70 value 89.219851 final value 89.219667 converged Fitting Repeat 1 # weights: 507 initial value 101.348487 iter 10 value 94.058161 iter 20 value 92.551795 iter 30 value 88.179108 iter 40 value 87.239583 final value 87.167242 converged Fitting Repeat 2 # weights: 507 initial value 105.166371 iter 10 value 93.976949 iter 20 value 93.890604 final value 93.870561 converged Fitting Repeat 3 # weights: 507 initial value 103.368048 iter 10 value 94.060816 iter 20 value 94.052809 iter 30 value 83.929293 final value 83.912246 converged Fitting Repeat 4 # weights: 507 initial value 93.379427 iter 10 value 90.474500 final value 90.458698 converged Fitting Repeat 5 # weights: 507 initial value 101.356438 iter 10 value 93.722474 iter 20 value 93.693695 iter 30 value 93.630029 iter 40 value 83.936883 iter 50 value 83.905040 iter 60 value 83.903835 iter 60 value 83.903835 iter 60 value 83.903835 final value 83.903835 converged Fitting Repeat 1 # weights: 103 initial value 103.032039 final value 94.484211 converged Fitting Repeat 2 # weights: 103 initial value 103.452619 final value 94.484211 converged Fitting Repeat 3 # weights: 103 initial value 95.392994 final value 94.484211 converged Fitting Repeat 4 # weights: 103 initial value 96.992812 final value 94.484211 converged Fitting Repeat 5 # weights: 103 initial value 107.529167 final value 94.484211 converged Fitting Repeat 1 # weights: 305 initial value 96.222439 iter 10 value 89.044696 iter 20 value 88.380657 iter 30 value 88.296873 iter 40 value 84.315426 iter 50 value 84.309631 final value 84.309319 converged Fitting Repeat 2 # weights: 305 initial value 117.093219 iter 10 value 93.563621 iter 20 value 86.521851 iter 30 value 83.304010 iter 40 value 83.235273 iter 50 value 82.941202 iter 60 value 82.883818 final value 82.883697 converged Fitting Repeat 3 # weights: 305 initial value 105.874647 iter 10 value 87.333293 iter 20 value 87.283812 iter 20 value 87.283811 iter 20 value 87.283811 final value 87.283811 converged Fitting Repeat 4 # weights: 305 initial value 107.901781 final value 94.354396 converged Fitting Repeat 5 # weights: 305 initial value 98.218699 final value 94.484211 converged Fitting Repeat 1 # weights: 507 initial value 105.178604 final value 94.484211 converged Fitting Repeat 2 # weights: 507 initial value 100.397153 iter 10 value 94.354396 iter 10 value 94.354396 iter 10 value 94.354396 final value 94.354396 converged Fitting Repeat 3 # weights: 507 initial value 99.944948 final value 94.484211 converged Fitting Repeat 4 # weights: 507 initial value 103.891310 iter 10 value 94.312066 final value 94.312042 converged Fitting Repeat 5 # weights: 507 initial value 137.090058 final value 94.484211 converged Fitting Repeat 1 # weights: 103 initial value 101.905711 iter 10 value 94.375024 iter 20 value 86.765426 iter 30 value 86.371828 iter 40 value 85.443322 iter 50 value 85.398014 iter 60 value 85.354483 final value 85.354475 converged Fitting Repeat 2 # weights: 103 initial value 99.936087 iter 10 value 94.484229 iter 20 value 92.628219 iter 30 value 88.515320 iter 40 value 86.491429 iter 50 value 85.886867 iter 60 value 85.466794 iter 70 value 85.354506 final value 85.354478 converged Fitting Repeat 3 # weights: 103 initial value 103.985087 iter 10 value 94.500446 iter 20 value 94.029545 iter 30 value 86.478430 iter 40 value 86.220023 iter 50 value 85.530464 iter 60 value 83.491692 iter 70 value 82.390048 iter 80 value 82.279196 iter 90 value 82.187759 final value 82.177987 converged Fitting Repeat 4 # weights: 103 initial value 99.939323 iter 10 value 94.488575 iter 20 value 94.487181 iter 30 value 94.227333 iter 40 value 85.650427 iter 50 value 84.136233 iter 60 value 83.297235 iter 70 value 82.869039 iter 80 value 82.518776 iter 90 value 82.286351 iter 100 value 82.273573 final value 82.273573 stopped after 100 iterations Fitting Repeat 5 # weights: 103 initial value 111.734385 iter 10 value 94.568435 iter 20 value 94.449542 iter 30 value 90.748251 iter 40 value 86.106117 iter 50 value 85.929931 iter 60 value 85.772952 iter 70 value 85.178361 iter 80 value 85.001274 iter 90 value 84.964692 final value 84.964685 converged Fitting Repeat 1 # weights: 305 initial value 116.920740 iter 10 value 94.690854 iter 20 value 88.951271 iter 30 value 87.175181 iter 40 value 85.921857 iter 50 value 85.262410 iter 60 value 83.421246 iter 70 value 81.788390 iter 80 value 81.328106 iter 90 value 81.079407 iter 100 value 80.948125 final value 80.948125 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 111.705948 iter 10 value 96.093912 iter 20 value 91.517251 iter 30 value 88.219472 iter 40 value 86.303522 iter 50 value 85.628314 iter 60 value 85.049856 iter 70 value 84.940045 final value 84.940041 converged Fitting Repeat 3 # weights: 305 initial value 115.992212 iter 10 value 94.559480 iter 20 value 88.842250 iter 30 value 87.441130 iter 40 value 86.495369 iter 50 value 85.627628 iter 60 value 84.565382 iter 70 value 83.350752 iter 80 value 82.502096 iter 90 value 82.062234 iter 100 value 81.516239 final value 81.516239 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 97.823736 iter 10 value 86.712669 iter 20 value 86.319911 iter 30 value 86.069804 iter 40 value 85.882883 iter 50 value 84.784207 iter 60 value 84.433683 iter 70 value 84.295602 iter 80 value 83.863558 iter 90 value 82.758425 iter 100 value 82.615677 final value 82.615677 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 102.335392 iter 10 value 92.911683 iter 20 value 86.696830 iter 30 value 86.068985 iter 40 value 85.704714 iter 50 value 85.155562 iter 60 value 84.984506 iter 70 value 84.946806 iter 80 value 84.820049 iter 90 value 83.354736 iter 100 value 83.021262 final value 83.021262 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 116.061054 iter 10 value 94.020867 iter 20 value 88.148244 iter 30 value 85.137631 iter 40 value 84.966355 iter 50 value 83.900335 iter 60 value 81.967464 iter 70 value 81.670001 iter 80 value 81.391700 iter 90 value 81.045665 iter 100 value 80.803308 final value 80.803308 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 104.432375 iter 10 value 94.537637 iter 20 value 94.394120 iter 30 value 93.063820 iter 40 value 85.271249 iter 50 value 84.599722 iter 60 value 84.400584 iter 70 value 84.211249 iter 80 value 84.041578 iter 90 value 83.982751 iter 100 value 83.583972 final value 83.583972 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 127.580912 iter 10 value 94.632725 iter 20 value 94.208489 iter 30 value 87.466706 iter 40 value 87.145963 iter 50 value 85.209172 iter 60 value 83.069287 iter 70 value 82.753499 iter 80 value 82.510983 iter 90 value 81.889986 iter 100 value 81.288273 final value 81.288273 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 126.748239 iter 10 value 91.379164 iter 20 value 87.624676 iter 30 value 85.175900 iter 40 value 81.795534 iter 50 value 81.423176 iter 60 value 81.251836 iter 70 value 80.917445 iter 80 value 80.802282 iter 90 value 80.644019 iter 100 value 80.539841 final value 80.539841 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 121.000207 iter 10 value 94.732151 iter 20 value 87.655230 iter 30 value 83.985541 iter 40 value 83.317718 iter 50 value 82.661437 iter 60 value 81.830325 iter 70 value 81.211795 iter 80 value 81.124032 iter 90 value 81.075886 iter 100 value 81.049539 final value 81.049539 stopped after 100 iterations Fitting Repeat 1 # weights: 103 initial value 99.591649 final value 94.485819 converged Fitting Repeat 2 # weights: 103 initial value 101.711537 final value 94.485948 converged Fitting Repeat 3 # weights: 103 initial value 94.900415 final value 94.485863 converged Fitting Repeat 4 # weights: 103 initial value 104.869782 iter 10 value 94.486439 final value 94.484573 converged Fitting Repeat 5 # weights: 103 initial value 98.807146 final value 94.486513 converged Fitting Repeat 1 # weights: 305 initial value 105.498216 iter 10 value 94.489157 iter 20 value 94.354524 iter 30 value 94.287445 iter 40 value 92.789949 final value 92.789940 converged Fitting Repeat 2 # weights: 305 initial value 96.334568 iter 10 value 91.926525 iter 20 value 86.313991 iter 30 value 85.916125 iter 40 value 85.405188 final value 85.404946 converged Fitting Repeat 3 # weights: 305 initial value 103.690665 iter 10 value 94.489226 iter 20 value 94.484357 iter 30 value 91.996519 iter 40 value 85.231305 iter 50 value 85.228931 final value 85.228192 converged Fitting Repeat 4 # weights: 305 initial value 109.999076 iter 10 value 94.489430 iter 20 value 94.484237 final value 94.484230 converged Fitting Repeat 5 # weights: 305 initial value 122.260941 iter 10 value 94.489567 iter 20 value 94.484863 iter 30 value 94.056616 iter 40 value 93.114737 iter 50 value 91.063509 iter 60 value 85.521381 iter 70 value 85.512696 iter 80 value 85.500399 iter 90 value 85.494682 iter 100 value 84.642282 final value 84.642282 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 108.678379 iter 10 value 94.492760 iter 20 value 94.478637 iter 30 value 87.857468 iter 40 value 84.766339 iter 50 value 84.762814 final value 84.762780 converged Fitting Repeat 2 # weights: 507 initial value 100.736682 iter 10 value 94.493126 iter 20 value 94.341539 iter 30 value 88.194823 iter 40 value 84.898834 final value 84.748532 converged Fitting Repeat 3 # weights: 507 initial value 106.355853 iter 10 value 94.491803 iter 20 value 94.427360 iter 30 value 94.031403 final value 94.031247 converged Fitting Repeat 4 # weights: 507 initial value 96.566272 iter 10 value 94.492758 iter 20 value 94.412160 iter 30 value 93.085915 iter 40 value 86.980277 iter 50 value 86.595195 iter 60 value 86.575789 iter 70 value 86.573738 iter 80 value 84.930955 iter 90 value 84.747903 iter 90 value 84.747903 iter 90 value 84.747903 final value 84.747903 converged Fitting Repeat 5 # weights: 507 initial value 97.199584 iter 10 value 93.308946 iter 20 value 93.213859 iter 30 value 90.487740 iter 40 value 88.206411 iter 50 value 86.157899 iter 60 value 86.151854 final value 86.151390 converged Fitting Repeat 1 # weights: 103 initial value 99.952994 final value 94.052910 converged Fitting Repeat 2 # weights: 103 initial value 96.243917 final value 94.052910 converged Fitting Repeat 3 # weights: 103 initial value 94.754685 final value 94.052910 converged Fitting Repeat 4 # weights: 103 initial value 102.674778 final value 94.052910 converged Fitting Repeat 5 # weights: 103 initial value 97.386723 final value 94.032967 converged Fitting Repeat 1 # weights: 305 initial value 95.693091 final value 94.032967 converged Fitting Repeat 2 # weights: 305 initial value 96.695029 final value 94.052910 converged Fitting Repeat 3 # weights: 305 initial value 95.886526 final value 94.052910 converged Fitting Repeat 4 # weights: 305 initial value 114.294000 final value 94.052910 converged Fitting Repeat 5 # weights: 305 initial value 104.235567 final value 94.052910 converged Fitting Repeat 1 # weights: 507 initial value 100.477351 iter 10 value 94.038796 final value 94.030550 converged Fitting Repeat 2 # weights: 507 initial value 99.801876 iter 10 value 94.032967 iter 10 value 94.032967 iter 10 value 94.032967 final value 94.032967 converged Fitting Repeat 3 # weights: 507 initial value 117.077221 final value 94.032967 converged Fitting Repeat 4 # weights: 507 initial value 99.496553 iter 10 value 94.053312 final value 94.052917 converged Fitting Repeat 5 # weights: 507 initial value 108.072304 iter 10 value 93.921217 final value 93.921212 converged Fitting Repeat 1 # weights: 103 initial value 95.662497 iter 10 value 94.055084 iter 20 value 89.133314 iter 30 value 86.488512 iter 40 value 84.684883 iter 50 value 83.749545 iter 60 value 82.883124 iter 70 value 82.593509 iter 80 value 82.569316 final value 82.562388 converged Fitting Repeat 2 # weights: 103 initial value 99.333610 iter 10 value 94.071864 iter 20 value 93.927648 iter 30 value 93.732783 iter 40 value 88.908297 iter 50 value 85.886366 iter 60 value 84.704553 iter 70 value 83.368007 iter 80 value 82.622446 iter 90 value 82.578751 iter 100 value 82.571005 final value 82.571005 stopped after 100 iterations Fitting Repeat 3 # weights: 103 initial value 100.308951 iter 10 value 94.087969 iter 20 value 94.045937 iter 30 value 90.877698 iter 40 value 87.598854 iter 50 value 87.174087 iter 60 value 86.642878 iter 70 value 85.740157 iter 80 value 85.448854 iter 90 value 85.048019 iter 100 value 84.596167 final value 84.596167 stopped after 100 iterations Fitting Repeat 4 # weights: 103 initial value 96.155776 iter 10 value 94.056139 iter 20 value 88.699226 iter 30 value 87.678647 iter 40 value 87.213390 iter 50 value 87.184695 final value 87.184691 converged Fitting Repeat 5 # weights: 103 initial value 98.561851 iter 10 value 94.055811 iter 20 value 89.739631 iter 30 value 88.150190 iter 40 value 86.881736 iter 50 value 84.289490 iter 60 value 83.768826 iter 70 value 83.055942 iter 80 value 82.745645 iter 90 value 82.570519 final value 82.570262 converged Fitting Repeat 1 # weights: 305 initial value 113.476033 iter 10 value 94.020265 iter 20 value 88.971691 iter 30 value 86.201902 iter 40 value 84.944605 iter 50 value 83.975688 iter 60 value 82.446614 iter 70 value 81.823919 iter 80 value 81.746286 iter 90 value 81.646803 iter 100 value 81.625249 final value 81.625249 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 102.541942 iter 10 value 94.388624 iter 20 value 89.011725 iter 30 value 87.039606 iter 40 value 86.841561 iter 50 value 86.017577 iter 60 value 84.591305 iter 70 value 82.545115 iter 80 value 81.847335 iter 90 value 81.587631 iter 100 value 81.407457 final value 81.407457 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 108.984246 iter 10 value 94.343890 iter 20 value 94.054751 iter 30 value 90.127612 iter 40 value 87.717403 iter 50 value 87.347687 iter 60 value 87.269719 iter 70 value 87.146903 iter 80 value 86.819372 iter 90 value 85.288908 iter 100 value 84.106865 final value 84.106865 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 115.735014 iter 10 value 94.055407 iter 20 value 92.962423 iter 30 value 89.330230 iter 40 value 88.307287 iter 50 value 87.549250 iter 60 value 87.329323 iter 70 value 86.074466 iter 80 value 83.078286 iter 90 value 82.316385 iter 100 value 82.121737 final value 82.121737 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 107.500156 iter 10 value 93.977822 iter 20 value 90.317735 iter 30 value 89.089176 iter 40 value 86.997784 iter 50 value 84.945104 iter 60 value 83.829110 iter 70 value 82.692593 iter 80 value 82.016286 iter 90 value 81.842042 iter 100 value 81.571283 final value 81.571283 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 113.184851 iter 10 value 94.658367 iter 20 value 93.515668 iter 30 value 87.927332 iter 40 value 85.545688 iter 50 value 85.007290 iter 60 value 84.880021 iter 70 value 84.176226 iter 80 value 83.796389 iter 90 value 83.515181 iter 100 value 83.048729 final value 83.048729 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 112.498522 iter 10 value 94.080339 iter 20 value 93.324281 iter 30 value 88.885171 iter 40 value 88.686433 iter 50 value 87.986835 iter 60 value 86.799549 iter 70 value 86.575397 iter 80 value 86.494911 iter 90 value 85.433565 iter 100 value 84.749339 final value 84.749339 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 111.321429 iter 10 value 94.383637 iter 20 value 90.596766 iter 30 value 87.314586 iter 40 value 86.949374 iter 50 value 86.176987 iter 60 value 85.053255 iter 70 value 83.884592 iter 80 value 82.254544 iter 90 value 81.615858 iter 100 value 81.244630 final value 81.244630 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 136.769798 iter 10 value 94.622244 iter 20 value 93.748995 iter 30 value 88.564235 iter 40 value 87.939936 iter 50 value 87.775803 iter 60 value 87.285158 iter 70 value 84.752238 iter 80 value 82.778543 iter 90 value 82.076756 iter 100 value 81.790641 final value 81.790641 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 120.124319 iter 10 value 94.174055 iter 20 value 88.608942 iter 30 value 87.079028 iter 40 value 85.610749 iter 50 value 84.594036 iter 60 value 84.144364 iter 70 value 83.725119 iter 80 value 83.264536 iter 90 value 82.998243 iter 100 value 82.533952 final value 82.533952 stopped after 100 iterations Fitting Repeat 1 # weights: 103 initial value 94.516138 iter 10 value 87.612130 iter 20 value 87.361995 iter 30 value 86.111967 iter 40 value 85.698107 iter 50 value 85.305791 iter 60 value 85.298620 final value 85.298172 converged Fitting Repeat 2 # weights: 103 initial value 101.381353 iter 10 value 94.054433 iter 20 value 94.009695 iter 30 value 91.615221 iter 40 value 89.093692 iter 50 value 86.843749 iter 60 value 85.988375 iter 70 value 85.977536 final value 85.976632 converged Fitting Repeat 3 # weights: 103 initial value 97.224023 final value 94.034321 converged Fitting Repeat 4 # weights: 103 initial value 98.917980 final value 94.034555 converged Fitting Repeat 5 # weights: 103 initial value 100.963800 final value 94.034353 converged Fitting Repeat 1 # weights: 305 initial value 94.508418 iter 10 value 94.056866 iter 20 value 89.362480 iter 30 value 87.514043 iter 40 value 87.503556 iter 50 value 86.411078 iter 60 value 84.430083 iter 70 value 84.394783 iter 80 value 84.394433 iter 90 value 84.393878 iter 100 value 84.298774 final value 84.298774 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 97.311129 iter 10 value 94.057924 iter 20 value 94.053454 iter 30 value 92.051698 iter 40 value 87.959200 iter 50 value 86.111510 iter 60 value 85.586623 final value 85.586239 converged Fitting Repeat 3 # weights: 305 initial value 94.634245 iter 10 value 94.057778 iter 20 value 94.052839 iter 30 value 93.994889 iter 40 value 88.207367 iter 50 value 85.219669 iter 60 value 82.386801 iter 70 value 81.589196 iter 80 value 81.438860 iter 90 value 81.379311 iter 100 value 81.273476 final value 81.273476 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 97.461973 iter 10 value 94.037961 iter 20 value 93.886151 iter 30 value 93.864087 iter 40 value 93.863850 iter 50 value 93.407668 iter 60 value 93.088020 iter 70 value 92.881553 iter 80 value 90.056440 iter 90 value 86.471080 iter 100 value 85.500068 final value 85.500068 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 106.456395 iter 10 value 94.057647 iter 20 value 94.036093 iter 30 value 93.049493 iter 40 value 91.693964 iter 50 value 87.086039 iter 60 value 87.056529 iter 70 value 87.002071 iter 80 value 86.996299 final value 86.996208 converged Fitting Repeat 1 # weights: 507 initial value 103.754680 iter 10 value 94.023911 iter 20 value 93.923873 iter 30 value 93.907101 iter 40 value 93.748484 iter 50 value 86.607254 iter 60 value 84.459252 iter 70 value 83.798959 iter 80 value 82.598815 iter 90 value 82.033569 iter 100 value 81.850328 final value 81.850328 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 101.432681 iter 10 value 94.061846 iter 20 value 94.053669 iter 30 value 93.810182 iter 30 value 93.810181 iter 30 value 93.810181 final value 93.810181 converged Fitting Repeat 3 # weights: 507 initial value 110.735297 iter 10 value 94.069264 iter 20 value 87.844770 iter 30 value 85.723271 iter 40 value 85.713671 iter 50 value 85.710498 final value 85.709231 converged Fitting Repeat 4 # weights: 507 initial value 105.093849 iter 10 value 94.062063 iter 20 value 94.011800 iter 30 value 91.672954 iter 40 value 90.456947 iter 50 value 90.435451 iter 60 value 90.434578 iter 70 value 90.432711 iter 80 value 90.411803 iter 90 value 90.404526 iter 100 value 90.207620 final value 90.207620 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 103.325182 iter 10 value 94.061270 iter 20 value 93.245837 iter 30 value 87.332610 iter 40 value 87.331299 iter 50 value 87.268734 iter 60 value 87.266558 iter 70 value 87.264296 iter 80 value 87.084531 final value 87.082129 converged Fitting Repeat 1 # weights: 305 initial value 122.138249 iter 10 value 117.763486 iter 20 value 116.915435 iter 30 value 103.373234 iter 40 value 102.545212 iter 50 value 101.625525 iter 60 value 101.501718 final value 101.501437 converged Fitting Repeat 2 # weights: 305 initial value 123.047132 iter 10 value 117.763994 iter 20 value 116.282225 iter 30 value 105.548507 iter 40 value 105.522815 iter 50 value 105.522593 iter 60 value 105.354811 iter 70 value 105.238312 iter 80 value 105.208663 iter 90 value 105.174693 iter 100 value 105.174593 final value 105.174593 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 128.611354 iter 10 value 117.894842 iter 20 value 117.726926 iter 30 value 107.280830 iter 40 value 106.872339 iter 50 value 106.866525 final value 106.866520 converged Fitting Repeat 4 # weights: 305 initial value 126.177716 iter 10 value 117.895245 iter 20 value 111.959794 final value 108.529094 converged Fitting Repeat 5 # weights: 305 initial value 121.972657 iter 10 value 108.759834 iter 20 value 105.070059 iter 30 value 105.060286 final value 105.059913 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 -- Mon Apr 10 21:25:07 2023 *********************************************** 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 41.197 1.643 83.615
HPiP.Rcheck/HPiP-Ex.timings
name | user | system | elapsed | |
FSmethod | 33.480 | 0.535 | 34.017 | |
FreqInteractors | 0.277 | 0.020 | 0.297 | |
calculateAAC | 0.037 | 0.002 | 0.040 | |
calculateAutocor | 0.317 | 0.008 | 0.325 | |
calculateCTDC | 0.088 | 0.000 | 0.088 | |
calculateCTDD | 0.640 | 0.004 | 0.645 | |
calculateCTDT | 0.229 | 0.000 | 0.229 | |
calculateCTriad | 0.349 | 0.008 | 0.356 | |
calculateDC | 0.077 | 0.008 | 0.086 | |
calculateF | 0.309 | 0.000 | 0.310 | |
calculateKSAAP | 0.088 | 0.000 | 0.088 | |
calculateQD_Sm | 1.711 | 0.008 | 1.719 | |
calculateTC | 1.460 | 0.056 | 1.517 | |
calculateTC_Sm | 0.295 | 0.000 | 0.296 | |
corr_plot | 33.107 | 0.564 | 33.672 | |
enrichfindP | 0.438 | 0.060 | 53.618 | |
enrichfind_hp | 0.049 | 0.004 | 3.055 | |
enrichplot | 0.275 | 0.043 | 0.318 | |
filter_missing_values | 0.001 | 0.000 | 0.001 | |
getFASTA | 0.120 | 0.024 | 5.184 | |
getHPI | 0.001 | 0.000 | 0.002 | |
get_negativePPI | 0.004 | 0.000 | 0.003 | |
get_positivePPI | 0 | 0 | 0 | |
impute_missing_data | 0.003 | 0.000 | 0.003 | |
plotPPI | 0.122 | 0.012 | 0.270 | |
pred_ensembel | 15.258 | 0.695 | 12.477 | |
var_imp | 34.805 | 0.768 | 35.574 | |