Back to Multiple platform build/check report for BioC 3.19: simplified long |
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This page was generated on 2024-05-04 11:40:38 -0400 (Sat, 04 May 2024).
Hostname | OS | Arch (*) | R version | Installed pkgs |
---|---|---|---|---|
nebbiolo1 | Linux (Ubuntu 22.04.3 LTS) | x86_64 | 4.4.0 beta (2024-04-15 r86425) -- "Puppy Cup" | 4753 |
palomino3 | Windows Server 2022 Datacenter | x64 | 4.4.0 beta (2024-04-15 r86425 ucrt) -- "Puppy Cup" | 4486 |
lconway | macOS 12.7.1 Monterey | x86_64 | 4.4.0 beta (2024-04-14 r86421) -- "Puppy Cup" | 4519 |
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) | aarch64 | 4.4.0 beta (2024-04-15 r86425) -- "Puppy Cup" | 4479 |
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 987/2300 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
HPiP 1.10.0 (landing page) Matineh Rahmatbakhsh
| nebbiolo1 | Linux (Ubuntu 22.04.3 LTS) / x86_64 | OK | OK | OK | ![]() | ||||||||
palomino3 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | ![]() | ||||||||
lconway | macOS 12.7.1 Monterey / x86_64 | OK | OK | OK | OK | ![]() | ||||||||
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) / aarch64 | OK | OK | OK | ||||||||||
kjohnson3 | macOS 13.6.5 Ventura / arm64 | see weekly results here | ||||||||||||
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. - See Martin Grigorov's blog post for how to debug Linux ARM64 related issues on a x86_64 host. |
Package: HPiP |
Version: 1.10.0 |
Command: /home/biocbuild/R/R-beta-2024-04-15_r86425/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/R/R-beta-2024-04-15_r86425/site-library --no-vignettes --timings HPiP_1.10.0.tar.gz |
StartedAt: 2024-05-04 08:28:47 -0000 (Sat, 04 May 2024) |
EndedAt: 2024-05-04 08:35:10 -0000 (Sat, 04 May 2024) |
EllapsedTime: 383.7 seconds |
RetCode: 0 |
Status: OK |
CheckDir: HPiP.Rcheck |
Warnings: 0 |
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/R/R-beta-2024-04-15_r86425/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/R/R-beta-2024-04-15_r86425/site-library --no-vignettes --timings HPiP_1.10.0.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/home/biocbuild/bbs-3.19-bioc/meat/HPiP.Rcheck’ * using R version 4.4.0 beta (2024-04-15 r86425) * using platform: aarch64-unknown-linux-gnu * R was compiled by gcc (GCC) 10.3.1 GNU Fortran (GCC) 10.3.1 * running under: openEuler 22.03 (LTS-SP1) * using session charset: UTF-8 * using option ‘--no-vignettes’ * checking for file ‘HPiP/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘HPiP’ version ‘1.10.0’ * 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 ... 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 38.610 0.879 39.559 FSmethod 38.281 0.603 38.979 corr_plot 38.315 0.467 38.856 pred_ensembel 18.408 0.553 16.580 enrichfindP 0.537 0.028 39.625 getFASTA 0.094 0.000 8.377 * 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 running R code from vignettes ... SKIPPED * checking re-building of vignette outputs ... SKIPPED * checking PDF version of manual ... OK * DONE Status: 3 NOTEs See ‘/home/biocbuild/bbs-3.19-bioc/meat/HPiP.Rcheck/00check.log’ for details.
HPiP.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/R/R-beta-2024-04-15_r86425/bin/R CMD INSTALL HPiP ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/R/R-beta-2024-04-15_r86425/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 4.4.0 beta (2024-04-15 r86425) -- "Puppy Cup" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: aarch64-unknown-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 94.042735 iter 10 value 90.542533 iter 20 value 90.536100 iter 30 value 86.562652 iter 40 value 86.276513 final value 86.276423 converged Fitting Repeat 2 # weights: 103 initial value 97.743168 final value 94.052910 converged Fitting Repeat 3 # weights: 103 initial value 97.759702 final value 94.052910 converged Fitting Repeat 4 # weights: 103 initial value 100.131352 final value 94.052910 converged Fitting Repeat 5 # weights: 103 initial value 96.639470 final value 94.051984 converged Fitting Repeat 1 # weights: 305 initial value 95.031676 iter 10 value 84.735579 iter 20 value 84.535909 iter 30 value 84.529116 iter 40 value 84.529006 iter 40 value 84.529006 iter 40 value 84.529006 final value 84.529006 converged Fitting Repeat 2 # weights: 305 initial value 97.383251 iter 10 value 93.893252 final value 93.582418 converged Fitting Repeat 3 # weights: 305 initial value 95.725165 final value 94.052910 converged Fitting Repeat 4 # weights: 305 initial value 105.539936 final value 94.052910 converged Fitting Repeat 5 # weights: 305 initial value 105.158924 iter 10 value 88.431629 iter 20 value 87.611788 iter 30 value 87.609931 final value 87.609756 converged Fitting Repeat 1 # weights: 507 initial value 99.640688 final value 94.052910 converged Fitting Repeat 2 # weights: 507 initial value 100.509211 iter 10 value 92.357864 iter 20 value 87.368462 iter 30 value 87.366699 final value 87.366697 converged Fitting Repeat 3 # weights: 507 initial value 98.847986 final value 94.052910 converged Fitting Repeat 4 # weights: 507 initial value 94.725001 iter 10 value 93.913370 final value 93.912644 converged Fitting Repeat 5 # weights: 507 initial value 144.154933 iter 10 value 93.238541 final value 93.238538 converged Fitting Repeat 1 # weights: 103 initial value 105.839715 iter 10 value 94.101959 iter 20 value 94.024412 iter 30 value 93.742915 iter 40 value 93.737550 iter 50 value 93.728492 iter 60 value 93.721742 iter 70 value 93.606950 iter 80 value 89.423895 iter 90 value 86.944591 iter 100 value 86.140544 final value 86.140544 stopped after 100 iterations Fitting Repeat 2 # weights: 103 initial value 96.946674 iter 10 value 94.055560 iter 20 value 93.843557 iter 30 value 93.685007 iter 40 value 93.678433 iter 50 value 93.256604 iter 60 value 86.924528 iter 70 value 86.149502 iter 80 value 85.522371 iter 90 value 85.518000 final value 85.517972 converged Fitting Repeat 3 # weights: 103 initial value 107.492905 iter 10 value 94.050218 iter 20 value 93.526613 iter 30 value 93.167655 iter 40 value 91.476153 iter 50 value 87.882139 iter 60 value 87.254334 iter 70 value 86.949526 final value 86.779199 converged Fitting Repeat 4 # weights: 103 initial value 100.034041 iter 10 value 94.056352 iter 20 value 93.778101 iter 30 value 89.905709 iter 40 value 87.952667 iter 50 value 87.392622 iter 60 value 87.160167 iter 70 value 86.873326 iter 80 value 86.788299 iter 90 value 86.788224 final value 86.788049 converged Fitting Repeat 5 # weights: 103 initial value 100.818867 iter 10 value 93.643482 iter 20 value 89.378036 iter 30 value 86.576980 iter 40 value 85.717997 iter 50 value 85.520382 final value 85.517971 converged Fitting Repeat 1 # weights: 305 initial value 112.143908 iter 10 value 95.125495 iter 20 value 93.352523 iter 30 value 92.510835 iter 40 value 92.134944 iter 50 value 91.861785 iter 60 value 91.545925 iter 70 value 86.621282 iter 80 value 85.145146 iter 90 value 84.193315 iter 100 value 83.920435 final value 83.920435 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 104.777201 iter 10 value 94.162229 iter 20 value 94.054315 iter 30 value 92.697387 iter 40 value 88.659302 iter 50 value 86.638623 iter 60 value 84.624590 iter 70 value 84.390084 iter 80 value 84.223383 iter 90 value 84.145299 iter 100 value 84.016197 final value 84.016197 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 105.044352 iter 10 value 93.576031 iter 20 value 89.445250 iter 30 value 87.451961 iter 40 value 84.777174 iter 50 value 84.290845 iter 60 value 83.051877 iter 70 value 82.691738 iter 80 value 82.322484 iter 90 value 82.233391 iter 100 value 82.147120 final value 82.147120 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 106.875313 iter 10 value 93.668896 iter 20 value 88.213268 iter 30 value 85.645311 iter 40 value 84.606296 iter 50 value 83.370493 iter 60 value 83.090578 iter 70 value 82.634154 iter 80 value 82.569109 iter 90 value 82.460714 iter 100 value 82.455137 final value 82.455137 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 109.523032 iter 10 value 94.081710 iter 20 value 87.104573 iter 30 value 86.160254 iter 40 value 85.375912 iter 50 value 84.719407 iter 60 value 84.424969 iter 70 value 84.129762 iter 80 value 83.934643 iter 90 value 83.456578 iter 100 value 83.299204 final value 83.299204 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 120.090913 iter 10 value 94.134936 iter 20 value 93.645464 iter 30 value 91.461368 iter 40 value 86.169110 iter 50 value 84.612353 iter 60 value 83.023876 iter 70 value 82.765803 iter 80 value 82.552812 iter 90 value 82.475960 iter 100 value 82.170595 final value 82.170595 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 124.451537 iter 10 value 94.190410 iter 20 value 92.876095 iter 30 value 91.576344 iter 40 value 86.975971 iter 50 value 84.881479 iter 60 value 84.567369 iter 70 value 83.990820 iter 80 value 83.643282 iter 90 value 83.071565 iter 100 value 82.921581 final value 82.921581 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 144.348499 iter 10 value 93.967921 iter 20 value 88.041872 iter 30 value 85.595759 iter 40 value 85.384118 iter 50 value 84.459492 iter 60 value 84.068065 iter 70 value 83.773979 iter 80 value 83.429594 iter 90 value 83.020680 iter 100 value 82.819865 final value 82.819865 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 113.783235 iter 10 value 94.302744 iter 20 value 93.657169 iter 30 value 93.441456 iter 40 value 92.472831 iter 50 value 88.809687 iter 60 value 87.588820 iter 70 value 87.106107 iter 80 value 86.458094 iter 90 value 84.994313 iter 100 value 84.367240 final value 84.367240 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 109.028745 iter 10 value 94.059494 iter 20 value 87.520289 iter 30 value 86.096563 iter 40 value 85.642492 iter 50 value 85.261125 iter 60 value 85.122820 iter 70 value 84.942932 iter 80 value 84.601751 iter 90 value 83.414627 iter 100 value 82.453130 final value 82.453130 stopped after 100 iterations Fitting Repeat 1 # weights: 103 initial value 101.913141 final value 94.054587 converged Fitting Repeat 2 # weights: 103 initial value 95.670001 final value 93.914460 converged Fitting Repeat 3 # weights: 103 initial value 94.122610 final value 94.054631 converged Fitting Repeat 4 # weights: 103 initial value 98.772611 iter 10 value 94.054575 iter 20 value 94.052925 iter 30 value 87.065866 iter 40 value 85.735394 iter 50 value 85.521438 iter 60 value 85.513902 final value 85.513878 converged Fitting Repeat 5 # weights: 103 initial value 105.098525 iter 10 value 94.054704 final value 94.052983 converged Fitting Repeat 1 # weights: 305 initial value 107.636217 iter 10 value 94.057757 iter 20 value 94.036792 iter 30 value 86.717588 iter 40 value 86.035151 iter 50 value 85.820816 iter 60 value 85.272224 final value 85.271929 converged Fitting Repeat 2 # weights: 305 initial value 115.202566 iter 10 value 94.058690 iter 20 value 94.038034 iter 30 value 86.345235 iter 40 value 85.256360 iter 50 value 85.242793 iter 60 value 85.233492 iter 70 value 84.177557 iter 80 value 84.172722 iter 90 value 84.172634 iter 100 value 84.172485 final value 84.172485 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 98.155302 iter 10 value 94.057289 iter 20 value 94.010080 iter 30 value 85.470495 iter 40 value 85.273226 iter 50 value 85.248220 iter 60 value 85.243947 iter 70 value 85.241153 final value 85.241146 converged Fitting Repeat 4 # weights: 305 initial value 98.594649 iter 10 value 94.057150 iter 20 value 93.579799 iter 30 value 92.768811 iter 40 value 88.017477 iter 50 value 87.605072 iter 60 value 87.428278 iter 70 value 87.425379 iter 80 value 87.424608 iter 90 value 87.420437 iter 100 value 86.008472 final value 86.008472 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 98.678531 iter 10 value 94.057893 iter 20 value 93.377509 iter 30 value 89.657151 iter 40 value 88.568749 iter 50 value 86.725387 iter 60 value 86.037013 iter 70 value 86.034132 iter 80 value 86.032309 iter 90 value 86.025720 iter 100 value 85.270170 final value 85.270170 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 126.941935 iter 10 value 93.921807 iter 20 value 92.119390 iter 30 value 91.987693 iter 40 value 90.046684 iter 50 value 83.402833 iter 60 value 82.531043 iter 70 value 82.527904 iter 80 value 82.526321 iter 90 value 82.523105 iter 100 value 82.511460 final value 82.511460 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 104.611778 iter 10 value 93.543558 iter 20 value 93.502757 iter 30 value 93.411324 iter 40 value 92.316650 iter 50 value 91.798394 iter 60 value 91.798233 final value 91.798231 converged Fitting Repeat 3 # weights: 507 initial value 103.775012 iter 10 value 94.060414 iter 20 value 93.540277 iter 30 value 93.346373 final value 93.346213 converged Fitting Repeat 4 # weights: 507 initial value 98.156406 iter 10 value 93.590612 iter 20 value 93.429599 iter 30 value 90.769872 iter 40 value 85.928436 iter 50 value 85.527368 iter 60 value 85.517438 iter 70 value 85.505556 iter 80 value 85.337736 iter 90 value 84.510458 iter 100 value 84.366292 final value 84.366292 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 97.824500 iter 10 value 93.591177 iter 20 value 93.584715 final value 93.583694 converged Fitting Repeat 1 # weights: 103 initial value 101.665502 iter 10 value 94.052665 final value 94.052655 converged Fitting Repeat 2 # weights: 103 initial value 102.428549 final value 94.052910 converged Fitting Repeat 3 # weights: 103 initial value 94.703680 final value 94.052910 converged Fitting Repeat 4 # weights: 103 initial value 97.334264 final value 94.052910 converged Fitting Repeat 5 # weights: 103 initial value 95.655406 final value 94.052910 converged Fitting Repeat 1 # weights: 305 initial value 108.193406 final value 94.052910 converged Fitting Repeat 2 # weights: 305 initial value 102.640020 final value 94.052910 converged Fitting Repeat 3 # weights: 305 initial value 102.153043 final value 94.052910 converged Fitting Repeat 4 # weights: 305 initial value 96.966369 final value 94.052910 converged Fitting Repeat 5 # weights: 305 initial value 96.162242 final value 94.052448 converged Fitting Repeat 1 # weights: 507 initial value 94.835993 final value 94.007737 converged Fitting Repeat 2 # weights: 507 initial value 104.341289 final value 94.035088 converged Fitting Repeat 3 # weights: 507 initial value 96.653962 iter 10 value 82.903532 iter 20 value 82.857856 iter 30 value 82.857178 final value 82.857143 converged Fitting Repeat 4 # weights: 507 initial value 98.396561 final value 94.035088 converged Fitting Repeat 5 # weights: 507 initial value 98.368934 iter 10 value 93.763746 iter 10 value 93.763745 iter 10 value 93.763745 final value 93.763745 converged Fitting Repeat 1 # weights: 103 initial value 96.117256 iter 10 value 94.057579 iter 20 value 94.022889 iter 30 value 83.557787 iter 40 value 82.882735 iter 50 value 82.546569 iter 60 value 81.733221 iter 70 value 80.596349 iter 80 value 80.559111 final value 80.559099 converged Fitting Repeat 2 # weights: 103 initial value 96.830663 iter 10 value 93.783718 iter 20 value 87.912746 iter 30 value 84.947177 iter 40 value 81.248050 iter 50 value 80.205259 iter 60 value 80.099460 iter 70 value 80.089509 final value 80.089505 converged Fitting Repeat 3 # weights: 103 initial value 96.821335 iter 10 value 93.708613 iter 20 value 88.397048 iter 30 value 85.347104 iter 40 value 82.534125 iter 50 value 81.334399 iter 60 value 80.690757 iter 70 value 80.617809 iter 80 value 80.601421 iter 90 value 80.597070 iter 100 value 80.596561 final value 80.596561 stopped after 100 iterations Fitting Repeat 4 # weights: 103 initial value 117.279142 iter 10 value 94.803870 iter 20 value 94.028157 iter 30 value 88.222058 iter 40 value 86.244292 iter 50 value 83.349867 iter 60 value 82.025924 iter 70 value 81.574323 final value 81.574274 converged Fitting Repeat 5 # weights: 103 initial value 96.330921 iter 10 value 94.057879 iter 20 value 94.055567 iter 30 value 92.098273 iter 40 value 89.195542 iter 50 value 88.889066 iter 60 value 85.569280 iter 70 value 82.451284 iter 80 value 81.111244 iter 90 value 80.614998 iter 100 value 80.583924 final value 80.583924 stopped after 100 iterations Fitting Repeat 1 # weights: 305 initial value 104.089138 iter 10 value 93.580191 iter 20 value 88.694177 iter 30 value 84.572607 iter 40 value 81.854317 iter 50 value 79.503125 iter 60 value 78.915477 iter 70 value 78.217793 iter 80 value 78.022110 iter 90 value 77.899654 iter 100 value 77.792486 final value 77.792486 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 104.342058 iter 10 value 87.263609 iter 20 value 82.815510 iter 30 value 82.571541 iter 40 value 79.114294 iter 50 value 78.720163 iter 60 value 78.598091 iter 70 value 78.532079 iter 80 value 78.084553 iter 90 value 77.845149 iter 100 value 77.654780 final value 77.654780 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 102.384943 iter 10 value 94.324345 iter 20 value 94.086234 iter 30 value 93.955697 iter 40 value 83.165241 iter 50 value 81.736426 iter 60 value 81.206567 iter 70 value 80.759627 iter 80 value 79.901916 iter 90 value 78.876324 iter 100 value 77.702668 final value 77.702668 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 101.368827 iter 10 value 95.853665 iter 20 value 94.595354 iter 30 value 93.758483 iter 40 value 86.029324 iter 50 value 81.477844 iter 60 value 81.111850 iter 70 value 79.493326 iter 80 value 78.242616 iter 90 value 77.886140 iter 100 value 77.485118 final value 77.485118 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 106.101884 iter 10 value 93.862685 iter 20 value 93.632382 iter 30 value 93.496535 iter 40 value 90.263454 iter 50 value 84.480755 iter 60 value 80.516790 iter 70 value 78.963633 iter 80 value 78.112590 iter 90 value 77.900042 iter 100 value 77.701132 final value 77.701132 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 109.586945 iter 10 value 95.840032 iter 20 value 91.942987 iter 30 value 89.105530 iter 40 value 88.416955 iter 50 value 85.807194 iter 60 value 83.565795 iter 70 value 80.067340 iter 80 value 78.619506 iter 90 value 78.055362 iter 100 value 77.984820 final value 77.984820 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 113.872474 iter 10 value 94.231796 iter 20 value 83.488890 iter 30 value 82.366789 iter 40 value 81.205441 iter 50 value 80.780451 iter 60 value 80.458966 iter 70 value 80.269838 iter 80 value 80.220520 iter 90 value 79.465582 iter 100 value 78.291387 final value 78.291387 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 109.398947 iter 10 value 94.070393 iter 20 value 91.838157 iter 30 value 84.118172 iter 40 value 82.373995 iter 50 value 81.857288 iter 60 value 80.117314 iter 70 value 79.260839 iter 80 value 79.191966 iter 90 value 79.097694 iter 100 value 78.506429 final value 78.506429 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 120.085108 iter 10 value 94.283633 iter 20 value 93.839706 iter 30 value 83.610178 iter 40 value 81.230444 iter 50 value 80.570278 iter 60 value 79.568541 iter 70 value 78.401617 iter 80 value 77.856889 iter 90 value 77.741025 iter 100 value 77.639935 final value 77.639935 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 106.100922 iter 10 value 94.059404 iter 20 value 92.762907 iter 30 value 92.328218 iter 40 value 90.314515 iter 50 value 86.094857 iter 60 value 82.146533 iter 70 value 79.160035 iter 80 value 78.652412 iter 90 value 77.615790 iter 100 value 77.524643 final value 77.524643 stopped after 100 iterations Fitting Repeat 1 # weights: 103 initial value 104.478277 iter 10 value 91.273733 final value 91.256244 converged Fitting Repeat 2 # weights: 103 initial value 112.257857 final value 94.054285 converged Fitting Repeat 3 # weights: 103 initial value 95.498678 final value 94.054507 converged Fitting Repeat 4 # weights: 103 initial value 98.407395 iter 10 value 94.010414 iter 20 value 94.008771 iter 30 value 89.541597 iter 40 value 89.438238 iter 50 value 87.460753 iter 60 value 87.458647 iter 70 value 84.377582 iter 80 value 83.168205 iter 90 value 82.657330 iter 100 value 82.635478 final value 82.635478 stopped after 100 iterations Fitting Repeat 5 # weights: 103 initial value 98.772505 final value 94.054561 converged Fitting Repeat 1 # weights: 305 initial value 98.860954 iter 10 value 94.058164 iter 20 value 93.340899 iter 30 value 91.255072 final value 91.254786 converged Fitting Repeat 2 # weights: 305 initial value 97.628714 iter 10 value 94.057699 iter 20 value 93.611569 iter 30 value 84.545800 iter 40 value 84.199708 iter 50 value 84.097295 final value 84.097195 converged Fitting Repeat 3 # weights: 305 initial value 111.501830 iter 10 value 94.058565 iter 20 value 93.981429 iter 30 value 88.634918 iter 40 value 88.627820 iter 50 value 88.624264 iter 60 value 88.624183 iter 70 value 88.623751 final value 88.623651 converged Fitting Repeat 4 # weights: 305 initial value 99.138806 iter 10 value 94.057846 iter 20 value 93.992101 iter 30 value 93.476581 iter 40 value 93.468935 final value 93.468933 converged Fitting Repeat 5 # weights: 305 initial value 107.960113 iter 10 value 94.057687 iter 20 value 93.175977 iter 30 value 84.104417 final value 84.098479 converged Fitting Repeat 1 # weights: 507 initial value 100.644561 iter 10 value 94.060733 iter 20 value 94.050261 final value 93.474546 converged Fitting Repeat 2 # weights: 507 initial value 108.336815 iter 10 value 91.218198 iter 20 value 82.008939 iter 30 value 82.008351 iter 40 value 81.841459 iter 50 value 79.558090 iter 60 value 79.539433 iter 70 value 79.539093 iter 80 value 79.458072 iter 90 value 78.782377 iter 100 value 76.729574 final value 76.729574 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 94.304358 iter 10 value 94.017907 iter 20 value 93.969624 iter 30 value 91.170541 iter 40 value 91.083660 iter 50 value 90.778548 iter 60 value 85.524270 iter 70 value 83.868193 iter 80 value 82.068006 iter 90 value 81.451237 iter 100 value 79.505162 final value 79.505162 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 96.712403 iter 10 value 89.035161 iter 20 value 87.168966 iter 30 value 87.163018 iter 40 value 87.020686 iter 50 value 85.592708 iter 60 value 85.490893 iter 70 value 85.490787 iter 80 value 85.490332 iter 90 value 85.413939 iter 100 value 84.375326 final value 84.375326 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 98.106255 iter 10 value 89.098801 iter 20 value 88.600912 iter 30 value 79.950690 iter 40 value 79.162767 iter 50 value 79.068418 iter 60 value 79.067619 iter 70 value 79.067110 iter 80 value 78.280847 final value 78.270017 converged Fitting Repeat 1 # weights: 103 initial value 99.552247 final value 94.484211 converged Fitting Repeat 2 # weights: 103 initial value 96.536314 final value 94.484211 converged Fitting Repeat 3 # weights: 103 initial value 101.515133 final value 94.354396 converged Fitting Repeat 4 # weights: 103 initial value 96.868336 final value 94.484211 converged Fitting Repeat 5 # weights: 103 initial value 102.362891 final value 94.484211 converged Fitting Repeat 1 # weights: 305 initial value 95.564638 final value 94.484211 converged Fitting Repeat 2 # weights: 305 initial value 115.156458 final value 94.484211 converged Fitting Repeat 3 # weights: 305 initial value 95.867968 final value 94.461539 converged Fitting Repeat 4 # weights: 305 initial value 100.920004 iter 10 value 94.354396 iter 10 value 94.354396 iter 10 value 94.354396 final value 94.354396 converged Fitting Repeat 5 # weights: 305 initial value 98.090310 final value 94.484211 converged Fitting Repeat 1 # weights: 507 initial value 104.629188 final value 94.354396 converged Fitting Repeat 2 # weights: 507 initial value 97.969383 final value 94.484211 converged Fitting Repeat 3 # weights: 507 initial value 103.998740 final value 94.476471 converged Fitting Repeat 4 # weights: 507 initial value 126.126630 final value 94.484211 converged Fitting Repeat 5 # weights: 507 initial value 111.012685 final value 94.461539 converged Fitting Repeat 1 # weights: 103 initial value 101.751057 iter 10 value 94.304652 iter 20 value 90.535504 iter 30 value 82.256854 iter 40 value 81.613214 iter 50 value 81.213434 iter 60 value 80.519317 iter 70 value 79.846047 iter 80 value 79.753262 final value 79.753229 converged Fitting Repeat 2 # weights: 103 initial value 102.010659 iter 10 value 94.503374 iter 20 value 93.516408 iter 30 value 85.476674 iter 40 value 84.158875 iter 50 value 82.501488 iter 60 value 81.912603 iter 70 value 81.827861 iter 80 value 81.760265 final value 81.760255 converged Fitting Repeat 3 # weights: 103 initial value 101.175661 iter 10 value 94.426423 iter 20 value 92.984860 iter 30 value 89.955567 iter 40 value 89.744912 iter 50 value 84.593353 iter 60 value 84.236569 iter 70 value 83.561539 iter 80 value 82.625556 iter 90 value 81.979638 final value 81.979106 converged Fitting Repeat 4 # weights: 103 initial value 108.147451 iter 10 value 93.337517 iter 20 value 85.761274 iter 30 value 85.238899 iter 40 value 84.487681 iter 50 value 82.546093 iter 60 value 80.013368 iter 70 value 79.930777 iter 80 value 79.927696 iter 80 value 79.927696 iter 80 value 79.927696 final value 79.927696 converged Fitting Repeat 5 # weights: 103 initial value 100.261125 iter 10 value 94.483281 iter 20 value 94.299241 iter 30 value 94.234606 iter 40 value 91.124947 iter 50 value 83.990061 iter 60 value 83.548838 iter 70 value 82.334097 iter 80 value 80.324237 iter 90 value 79.509525 iter 100 value 79.496289 final value 79.496289 stopped after 100 iterations Fitting Repeat 1 # weights: 305 initial value 102.172013 iter 10 value 95.144218 iter 20 value 94.511510 iter 30 value 87.407905 iter 40 value 85.773998 iter 50 value 82.453799 iter 60 value 81.958309 iter 70 value 81.634071 iter 80 value 81.469331 iter 90 value 81.360850 iter 100 value 79.887551 final value 79.887551 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 110.787123 iter 10 value 96.648993 iter 20 value 89.300019 iter 30 value 88.299991 iter 40 value 84.757582 iter 50 value 84.412540 iter 60 value 84.223604 iter 70 value 80.412334 iter 80 value 79.328929 iter 90 value 78.660980 iter 100 value 78.251641 final value 78.251641 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 105.071573 iter 10 value 91.085842 iter 20 value 86.723559 iter 30 value 86.233644 iter 40 value 86.083796 iter 50 value 86.010686 iter 60 value 85.603052 iter 70 value 82.922863 iter 80 value 81.555156 iter 90 value 81.052281 iter 100 value 80.563971 final value 80.563971 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 104.270264 iter 10 value 94.331769 iter 20 value 88.547781 iter 30 value 85.328084 iter 40 value 84.185072 iter 50 value 82.409130 iter 60 value 80.897037 iter 70 value 80.511906 iter 80 value 80.004076 iter 90 value 79.918112 iter 100 value 79.800892 final value 79.800892 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 127.593062 iter 10 value 94.247086 iter 20 value 93.872026 iter 30 value 87.167208 iter 40 value 83.484022 iter 50 value 82.909534 iter 60 value 82.248689 iter 70 value 81.824134 iter 80 value 80.816323 iter 90 value 79.691369 iter 100 value 79.517389 final value 79.517389 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 103.967626 iter 10 value 94.550489 iter 20 value 89.696427 iter 30 value 86.767309 iter 40 value 85.513173 iter 50 value 85.063708 iter 60 value 84.457362 iter 70 value 81.784135 iter 80 value 80.500045 iter 90 value 80.102929 iter 100 value 79.791894 final value 79.791894 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 107.243952 iter 10 value 101.020974 iter 20 value 90.233104 iter 30 value 84.492080 iter 40 value 83.891108 iter 50 value 82.552467 iter 60 value 82.270116 iter 70 value 82.168964 iter 80 value 82.012208 iter 90 value 81.697329 iter 100 value 80.429460 final value 80.429460 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 108.402419 iter 10 value 91.349077 iter 20 value 81.278258 iter 30 value 80.397392 iter 40 value 79.804150 iter 50 value 78.888366 iter 60 value 78.634006 iter 70 value 78.543336 iter 80 value 78.375289 iter 90 value 78.014310 iter 100 value 77.759409 final value 77.759409 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 131.892510 iter 10 value 94.529280 iter 20 value 93.712424 iter 30 value 89.013177 iter 40 value 83.146852 iter 50 value 81.054235 iter 60 value 79.578790 iter 70 value 78.715853 iter 80 value 78.567524 iter 90 value 78.374423 iter 100 value 78.041257 final value 78.041257 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 104.463300 iter 10 value 94.928709 iter 20 value 94.385816 iter 30 value 81.713385 iter 40 value 80.171442 iter 50 value 79.461442 iter 60 value 79.161758 iter 70 value 78.441352 iter 80 value 78.028599 iter 90 value 77.654753 iter 100 value 77.471999 final value 77.471999 stopped after 100 iterations Fitting Repeat 1 # weights: 103 initial value 102.508812 final value 94.486068 converged Fitting Repeat 2 # weights: 103 initial value 97.854711 final value 94.485698 converged Fitting Repeat 3 # weights: 103 initial value 106.147625 final value 94.356229 converged Fitting Repeat 4 # weights: 103 initial value 99.057862 final value 94.355998 converged Fitting Repeat 5 # weights: 103 initial value 95.798297 final value 94.485859 converged Fitting Repeat 1 # weights: 305 initial value 98.038042 iter 10 value 94.488731 iter 20 value 94.484235 iter 20 value 94.484235 final value 94.484232 converged Fitting Repeat 2 # weights: 305 initial value 110.250730 iter 10 value 94.489136 iter 20 value 94.484732 iter 30 value 94.484113 iter 40 value 94.440098 iter 50 value 84.154896 final value 84.153800 converged Fitting Repeat 3 # weights: 305 initial value 100.354739 iter 10 value 91.310360 iter 20 value 86.376337 iter 30 value 84.118109 iter 40 value 83.364895 iter 50 value 83.276053 iter 60 value 83.273968 iter 70 value 83.253099 iter 80 value 83.114537 iter 90 value 81.814785 iter 100 value 81.401327 final value 81.401327 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 95.971329 iter 10 value 94.454308 iter 20 value 94.440983 iter 30 value 86.369572 iter 40 value 86.358540 iter 50 value 85.970267 iter 60 value 82.532271 iter 70 value 80.974788 iter 80 value 79.933661 iter 90 value 79.651606 iter 100 value 79.641283 final value 79.641283 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 99.967559 iter 10 value 94.488773 iter 20 value 94.484285 iter 30 value 94.020554 iter 40 value 93.802804 iter 50 value 93.591750 iter 60 value 93.408548 iter 70 value 83.817020 iter 80 value 83.296524 iter 90 value 82.629897 iter 100 value 82.593816 final value 82.593816 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 106.534766 iter 10 value 94.313571 iter 20 value 94.047932 iter 30 value 88.672882 iter 40 value 83.742528 iter 50 value 83.623900 iter 60 value 81.869284 iter 70 value 80.883238 iter 80 value 80.858821 iter 90 value 80.834107 iter 100 value 80.672029 final value 80.672029 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 118.468579 iter 10 value 94.493199 iter 20 value 94.254109 iter 30 value 85.924645 iter 40 value 85.194760 iter 50 value 85.081447 iter 60 value 84.063850 iter 70 value 83.929785 iter 80 value 83.741339 iter 90 value 83.222311 iter 100 value 81.340914 final value 81.340914 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 100.130047 iter 10 value 94.378403 iter 20 value 94.361854 iter 30 value 93.711076 iter 40 value 93.576614 iter 50 value 93.575155 iter 60 value 93.574954 iter 70 value 93.574439 iter 80 value 93.573517 iter 90 value 93.486538 iter 100 value 93.486401 final value 93.486401 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 97.949297 iter 10 value 94.457065 iter 20 value 94.450162 iter 30 value 93.962591 iter 40 value 93.853857 iter 50 value 93.691008 iter 60 value 93.689345 iter 70 value 93.685902 iter 80 value 93.554627 iter 90 value 92.230081 iter 100 value 92.176578 final value 92.176578 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 101.543667 iter 10 value 94.335249 iter 20 value 94.292641 iter 30 value 93.831537 iter 40 value 84.678456 iter 50 value 83.973087 iter 60 value 83.961060 final value 83.961052 converged Fitting Repeat 1 # weights: 103 initial value 100.685108 final value 94.484211 converged Fitting Repeat 2 # weights: 103 initial value 97.848440 final value 94.484211 converged Fitting Repeat 3 # weights: 103 initial value 97.407750 final value 94.484211 converged Fitting Repeat 4 # weights: 103 initial value 94.984990 final value 94.484211 converged Fitting Repeat 5 # weights: 103 initial value 97.047829 final value 94.484211 converged Fitting Repeat 1 # weights: 305 initial value 103.202975 iter 10 value 93.710742 final value 93.701656 converged Fitting Repeat 2 # weights: 305 initial value 103.764384 final value 94.484211 converged Fitting Repeat 3 # weights: 305 initial value 104.464578 final value 94.484211 converged Fitting Repeat 4 # weights: 305 initial value 107.552623 iter 10 value 85.274422 iter 20 value 85.061140 iter 30 value 84.504562 final value 84.504556 converged Fitting Repeat 5 # weights: 305 initial value 95.572049 final value 94.484211 converged Fitting Repeat 1 # weights: 507 initial value 127.400408 final value 94.484211 converged Fitting Repeat 2 # weights: 507 initial value 101.591511 final value 94.466106 converged Fitting Repeat 3 # weights: 507 initial value 97.493346 final value 94.484211 converged Fitting Repeat 4 # weights: 507 initial value 94.910077 iter 10 value 86.196063 iter 20 value 85.925313 iter 30 value 85.624602 iter 40 value 84.072595 iter 50 value 83.682945 iter 60 value 83.672562 iter 70 value 83.468322 final value 83.468175 converged Fitting Repeat 5 # weights: 507 initial value 98.399714 final value 94.467391 converged Fitting Repeat 1 # weights: 103 initial value 96.562632 iter 10 value 94.497190 iter 20 value 94.338781 iter 30 value 93.944475 iter 40 value 93.791791 iter 50 value 92.782132 iter 60 value 92.104275 iter 70 value 89.726189 iter 80 value 88.898788 iter 90 value 85.926759 iter 100 value 84.906742 final value 84.906742 stopped after 100 iterations Fitting Repeat 2 # weights: 103 initial value 96.877298 iter 10 value 94.473521 iter 20 value 90.854557 iter 30 value 88.749971 iter 40 value 86.515752 iter 50 value 85.545374 iter 60 value 85.401350 iter 70 value 85.245488 iter 80 value 85.173436 final value 85.173133 converged Fitting Repeat 3 # weights: 103 initial value 104.351178 iter 10 value 94.289786 iter 20 value 88.232146 iter 30 value 86.883978 iter 40 value 86.369161 iter 50 value 85.970732 iter 60 value 85.466181 iter 70 value 84.460482 iter 80 value 84.172057 final value 84.171358 converged Fitting Repeat 4 # weights: 103 initial value 96.335189 iter 10 value 94.397736 iter 20 value 89.582247 iter 30 value 89.206634 iter 40 value 85.589468 iter 50 value 85.305161 iter 60 value 85.186709 iter 70 value 85.173133 iter 70 value 85.173133 iter 70 value 85.173133 final value 85.173133 converged Fitting Repeat 5 # weights: 103 initial value 100.126330 iter 10 value 94.257387 iter 20 value 87.943175 iter 30 value 86.256329 iter 40 value 85.197126 iter 50 value 84.797046 iter 60 value 84.559369 final value 84.543453 converged Fitting Repeat 1 # weights: 305 initial value 102.092281 iter 10 value 94.350555 iter 20 value 86.439660 iter 30 value 86.160683 iter 40 value 85.934253 iter 50 value 85.371182 iter 60 value 84.457960 iter 70 value 83.914063 iter 80 value 83.539346 iter 90 value 83.286681 iter 100 value 83.244164 final value 83.244164 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 109.835754 iter 10 value 91.153084 iter 20 value 85.417219 iter 30 value 84.338047 iter 40 value 83.475879 iter 50 value 82.523980 iter 60 value 82.315288 iter 70 value 82.299903 iter 80 value 82.294242 iter 90 value 82.151101 iter 100 value 81.930344 final value 81.930344 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 117.587806 iter 10 value 94.360372 iter 20 value 86.862762 iter 30 value 86.549876 iter 40 value 84.750799 iter 50 value 82.986664 iter 60 value 82.012917 iter 70 value 81.663985 iter 80 value 81.246718 iter 90 value 80.956230 iter 100 value 80.870278 final value 80.870278 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 145.800067 iter 10 value 94.901865 iter 20 value 94.501157 iter 30 value 94.312520 iter 40 value 93.117612 iter 50 value 90.111198 iter 60 value 88.397136 iter 70 value 85.291204 iter 80 value 85.115854 iter 90 value 84.961660 iter 100 value 84.908203 final value 84.908203 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 101.378139 iter 10 value 94.323979 iter 20 value 91.359174 iter 30 value 87.924458 iter 40 value 87.223685 iter 50 value 85.342219 iter 60 value 84.975877 iter 70 value 84.938609 iter 80 value 84.921368 iter 90 value 84.580055 iter 100 value 84.176152 final value 84.176152 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 107.346919 iter 10 value 94.521732 iter 20 value 94.356805 iter 30 value 92.123607 iter 40 value 86.395814 iter 50 value 83.747709 iter 60 value 82.738265 iter 70 value 81.826134 iter 80 value 81.775568 iter 90 value 81.712351 iter 100 value 81.467270 final value 81.467270 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 106.177135 iter 10 value 94.559562 iter 20 value 90.430139 iter 30 value 87.206731 iter 40 value 85.082391 iter 50 value 82.041194 iter 60 value 81.525072 iter 70 value 81.200982 iter 80 value 81.109741 iter 90 value 81.019866 iter 100 value 81.004805 final value 81.004805 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 103.874568 iter 10 value 94.448389 iter 20 value 92.030780 iter 30 value 86.655849 iter 40 value 85.397409 iter 50 value 85.045434 iter 60 value 84.866520 iter 70 value 83.559577 iter 80 value 82.533354 iter 90 value 82.312569 iter 100 value 81.915585 final value 81.915585 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 106.170960 iter 10 value 89.463858 iter 20 value 85.656968 iter 30 value 84.858968 iter 40 value 82.629573 iter 50 value 82.380190 iter 60 value 81.878981 iter 70 value 81.490347 iter 80 value 81.220974 iter 90 value 81.030439 iter 100 value 81.006578 final value 81.006578 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 104.651940 iter 10 value 95.356349 iter 20 value 93.576280 iter 30 value 87.502074 iter 40 value 85.955139 iter 50 value 85.087022 iter 60 value 84.659209 iter 70 value 83.771578 iter 80 value 83.237468 iter 90 value 82.729168 iter 100 value 82.434060 final value 82.434060 stopped after 100 iterations Fitting Repeat 1 # weights: 103 initial value 102.487337 final value 94.485817 converged Fitting Repeat 2 # weights: 103 initial value 100.837539 final value 94.469125 converged Fitting Repeat 3 # weights: 103 initial value 98.776718 final value 94.485885 converged Fitting Repeat 4 # weights: 103 initial value 111.127446 iter 10 value 94.469103 iter 20 value 94.466926 iter 30 value 91.065497 iter 40 value 88.581112 iter 50 value 87.329263 iter 60 value 87.310374 iter 70 value 87.287904 iter 80 value 87.276077 iter 90 value 87.275365 iter 100 value 87.273329 final value 87.273329 stopped after 100 iterations Fitting Repeat 5 # weights: 103 initial value 101.439610 final value 94.485674 converged Fitting Repeat 1 # weights: 305 initial value 102.192003 iter 10 value 94.488640 iter 20 value 94.439460 iter 30 value 91.952471 iter 30 value 91.952471 final value 91.952464 converged Fitting Repeat 2 # weights: 305 initial value 110.391460 iter 10 value 94.488757 iter 20 value 94.476163 iter 30 value 87.725018 iter 40 value 85.710256 iter 50 value 85.680843 iter 60 value 85.680054 iter 70 value 85.539489 final value 85.539005 converged Fitting Repeat 3 # weights: 305 initial value 95.546843 iter 10 value 94.488983 iter 20 value 94.394679 iter 30 value 92.839577 iter 40 value 86.282194 iter 50 value 85.624911 iter 60 value 84.965543 iter 70 value 84.305100 iter 80 value 84.299304 final value 84.299272 converged Fitting Repeat 4 # weights: 305 initial value 102.930397 iter 10 value 94.472711 iter 20 value 94.467880 final value 94.467470 converged Fitting Repeat 5 # weights: 305 initial value 97.347513 iter 10 value 94.471935 iter 20 value 93.522566 iter 30 value 90.442101 iter 40 value 85.825250 iter 50 value 84.308630 iter 60 value 84.224446 final value 84.223484 converged Fitting Repeat 1 # weights: 507 initial value 134.931260 iter 10 value 94.492784 iter 20 value 94.485022 iter 30 value 94.440451 iter 40 value 93.709347 iter 40 value 93.709346 iter 50 value 93.228873 iter 60 value 93.217408 final value 93.217356 converged Fitting Repeat 2 # weights: 507 initial value 112.987390 iter 10 value 94.492793 iter 20 value 94.384018 iter 30 value 92.883273 iter 40 value 92.882652 iter 50 value 92.882390 iter 60 value 92.838047 final value 92.834275 converged Fitting Repeat 3 # weights: 507 initial value 110.879725 iter 10 value 94.493893 iter 20 value 94.482324 iter 30 value 94.480785 iter 40 value 94.455913 final value 94.455879 converged Fitting Repeat 4 # weights: 507 initial value 112.784770 iter 10 value 94.476234 iter 20 value 94.468943 final value 94.468661 converged Fitting Repeat 5 # weights: 507 initial value 106.218972 iter 10 value 94.288167 iter 20 value 92.863668 iter 30 value 92.820033 iter 40 value 92.780890 iter 50 value 92.775141 iter 60 value 88.628712 iter 70 value 86.227822 iter 80 value 86.113848 final value 86.113435 converged Fitting Repeat 1 # weights: 103 initial value 105.961416 final value 94.484211 converged Fitting Repeat 2 # weights: 103 initial value 100.183589 final value 94.484211 converged Fitting Repeat 3 # weights: 103 initial value 95.028205 iter 10 value 89.458557 final value 88.643641 converged Fitting Repeat 4 # weights: 103 initial value 95.050815 final value 94.484211 converged Fitting Repeat 5 # weights: 103 initial value 97.766985 final value 94.484211 converged Fitting Repeat 1 # weights: 305 initial value 107.029831 final value 94.466823 converged Fitting Repeat 2 # weights: 305 initial value 106.590107 final value 94.484211 converged Fitting Repeat 3 # weights: 305 initial value 99.061975 final value 94.275362 converged Fitting Repeat 4 # weights: 305 initial value 97.973157 iter 10 value 93.050330 iter 20 value 87.250658 iter 30 value 87.221258 iter 40 value 86.007533 final value 85.801475 converged Fitting Repeat 5 # weights: 305 initial value 97.044030 final value 94.484211 converged Fitting Repeat 1 # weights: 507 initial value 100.823758 iter 10 value 93.788904 iter 20 value 93.673869 final value 93.673806 converged Fitting Repeat 2 # weights: 507 initial value 107.373484 final value 94.322897 converged Fitting Repeat 3 # weights: 507 initial value 112.561438 final value 94.484211 converged Fitting Repeat 4 # weights: 507 initial value 103.030756 iter 10 value 94.083680 final value 94.083670 converged Fitting Repeat 5 # weights: 507 initial value 94.980705 iter 10 value 91.788154 iter 20 value 90.518789 iter 30 value 90.512942 final value 90.512619 converged Fitting Repeat 1 # weights: 103 initial value 96.756549 iter 10 value 94.495526 iter 20 value 94.421999 iter 30 value 94.332811 iter 40 value 94.329885 iter 50 value 93.978952 iter 60 value 87.236536 iter 70 value 87.082325 iter 80 value 86.726763 iter 90 value 85.858990 iter 100 value 85.293390 final value 85.293390 stopped after 100 iterations Fitting Repeat 2 # weights: 103 initial value 104.670570 iter 10 value 94.488563 iter 20 value 92.242831 iter 30 value 83.463080 iter 40 value 83.310262 iter 50 value 82.333866 iter 60 value 80.723710 iter 70 value 80.335010 iter 80 value 79.931834 final value 79.923716 converged Fitting Repeat 3 # weights: 103 initial value 96.419439 iter 10 value 94.154906 iter 20 value 88.491056 iter 30 value 87.110230 iter 40 value 86.989761 iter 50 value 86.756210 iter 60 value 86.134983 iter 70 value 85.302363 iter 80 value 85.243956 iter 80 value 85.243955 iter 80 value 85.243955 final value 85.243955 converged Fitting Repeat 4 # weights: 103 initial value 99.144290 iter 10 value 94.486955 iter 20 value 91.835620 iter 30 value 91.251253 iter 40 value 91.167385 iter 50 value 91.161892 iter 60 value 91.159679 iter 70 value 91.141367 iter 80 value 87.894524 iter 90 value 87.727557 iter 100 value 86.263397 final value 86.263397 stopped after 100 iterations Fitting Repeat 5 # weights: 103 initial value 96.698185 iter 10 value 94.491041 iter 20 value 93.495204 iter 30 value 88.400997 iter 40 value 84.624318 iter 50 value 81.627187 iter 60 value 80.806462 iter 70 value 80.547044 iter 80 value 80.159557 iter 90 value 80.083676 iter 100 value 79.950997 final value 79.950997 stopped after 100 iterations Fitting Repeat 1 # weights: 305 initial value 103.319899 iter 10 value 94.611990 iter 20 value 94.489412 iter 30 value 93.801199 iter 40 value 87.652504 iter 50 value 87.280796 iter 60 value 86.694050 iter 70 value 85.776237 iter 80 value 81.876033 iter 90 value 80.326620 iter 100 value 79.630511 final value 79.630511 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 99.454821 iter 10 value 94.715112 iter 20 value 88.743993 iter 30 value 87.300122 iter 40 value 84.630386 iter 50 value 83.325474 iter 60 value 82.284368 iter 70 value 82.029915 iter 80 value 81.990915 iter 90 value 81.572328 iter 100 value 81.395609 final value 81.395609 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 99.980485 iter 10 value 94.239735 iter 20 value 87.522702 iter 30 value 82.827541 iter 40 value 80.119055 iter 50 value 79.321942 iter 60 value 79.209421 iter 70 value 79.206901 iter 80 value 79.195326 iter 90 value 79.161632 iter 100 value 78.949084 final value 78.949084 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 118.441580 iter 10 value 94.146951 iter 20 value 93.820099 iter 30 value 90.502912 iter 40 value 87.558464 iter 50 value 83.815165 iter 60 value 83.006275 iter 70 value 81.273726 iter 80 value 80.856361 iter 90 value 80.132927 iter 100 value 79.443449 final value 79.443449 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 112.398558 iter 10 value 89.475448 iter 20 value 87.299793 iter 30 value 84.254522 iter 40 value 82.415626 iter 50 value 81.976035 iter 60 value 80.782506 iter 70 value 80.451987 iter 80 value 79.919575 iter 90 value 79.517545 iter 100 value 79.422099 final value 79.422099 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 120.784950 iter 10 value 94.899488 iter 20 value 94.515404 iter 30 value 93.775095 iter 40 value 90.877032 iter 50 value 87.061766 iter 60 value 86.135969 iter 70 value 85.916708 iter 80 value 83.142191 iter 90 value 80.035945 iter 100 value 79.407272 final value 79.407272 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 107.024885 iter 10 value 94.795816 iter 20 value 94.468211 iter 30 value 91.124500 iter 40 value 89.298803 iter 50 value 86.611497 iter 60 value 82.170929 iter 70 value 80.955326 iter 80 value 80.045256 iter 90 value 79.200336 iter 100 value 78.945802 final value 78.945802 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 126.485413 iter 10 value 95.285019 iter 20 value 92.122159 iter 30 value 89.812623 iter 40 value 83.164601 iter 50 value 80.269273 iter 60 value 79.768391 iter 70 value 79.543196 iter 80 value 79.188503 iter 90 value 78.998588 iter 100 value 78.967506 final value 78.967506 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 103.414151 iter 10 value 94.500488 iter 20 value 86.749325 iter 30 value 86.020121 iter 40 value 84.361036 iter 50 value 83.559048 iter 60 value 81.771997 iter 70 value 80.743091 iter 80 value 80.635256 iter 90 value 80.349981 iter 100 value 80.051052 final value 80.051052 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 108.042383 iter 10 value 94.130013 iter 20 value 89.534867 iter 30 value 88.173440 iter 40 value 86.655447 iter 50 value 83.448663 iter 60 value 81.024723 iter 70 value 79.301577 iter 80 value 78.701070 iter 90 value 78.557456 iter 100 value 78.446203 final value 78.446203 stopped after 100 iterations Fitting Repeat 1 # weights: 103 initial value 95.180647 iter 10 value 94.485709 iter 20 value 94.484228 final value 94.484225 converged Fitting Repeat 2 # weights: 103 initial value 98.011344 final value 94.277023 converged Fitting Repeat 3 # weights: 103 initial value 97.517020 final value 94.485386 converged Fitting Repeat 4 # weights: 103 initial value 101.641671 final value 94.485841 converged Fitting Repeat 5 # weights: 103 initial value 96.600103 final value 94.485846 converged Fitting Repeat 1 # weights: 305 initial value 104.215253 iter 10 value 94.488926 iter 20 value 94.423386 iter 30 value 86.986613 iter 40 value 86.764873 iter 50 value 85.375143 iter 60 value 84.301156 iter 70 value 81.183695 iter 80 value 80.095648 iter 90 value 80.092212 iter 100 value 80.088973 final value 80.088973 stopped after 100 iterations Fitting Repeat 2 # weights: 305 initial value 96.420255 iter 10 value 94.488386 iter 20 value 93.591953 iter 30 value 91.177779 iter 40 value 91.165345 iter 50 value 90.743923 iter 60 value 89.745332 iter 70 value 89.744030 iter 80 value 89.743801 iter 90 value 86.406711 iter 100 value 84.718373 final value 84.718373 stopped after 100 iterations Fitting Repeat 3 # weights: 305 initial value 119.506666 iter 10 value 94.489136 iter 20 value 94.484428 iter 30 value 91.819871 iter 40 value 88.173048 iter 50 value 88.043690 iter 60 value 86.829334 iter 70 value 86.597528 iter 80 value 86.590839 iter 90 value 86.582217 iter 100 value 86.298413 final value 86.298413 stopped after 100 iterations Fitting Repeat 4 # weights: 305 initial value 102.051187 iter 10 value 94.489273 iter 20 value 94.482733 iter 30 value 86.562615 iter 40 value 83.843955 iter 50 value 83.151621 iter 60 value 82.698292 iter 70 value 82.692021 iter 80 value 82.632148 iter 90 value 82.626105 iter 100 value 82.115412 final value 82.115412 stopped after 100 iterations Fitting Repeat 5 # weights: 305 initial value 106.487864 iter 10 value 93.793536 iter 20 value 93.766003 iter 30 value 86.184958 iter 40 value 84.419890 iter 50 value 84.419142 iter 60 value 84.418893 iter 70 value 84.418736 iter 80 value 84.009002 iter 90 value 81.622390 iter 100 value 81.501124 final value 81.501124 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 106.858964 iter 10 value 94.492289 iter 20 value 94.487239 iter 30 value 89.007707 iter 40 value 88.118490 iter 50 value 84.117120 iter 60 value 83.922615 iter 70 value 83.910319 iter 80 value 83.902580 iter 90 value 80.260925 iter 100 value 78.190568 final value 78.190568 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 100.332624 iter 10 value 93.957593 iter 20 value 86.606260 iter 30 value 86.069191 final value 86.067306 converged Fitting Repeat 3 # weights: 507 initial value 101.901083 iter 10 value 94.489282 iter 20 value 94.352572 iter 30 value 86.712568 iter 40 value 86.707572 iter 50 value 86.691666 iter 50 value 86.691666 final value 86.691666 converged Fitting Repeat 4 # weights: 507 initial value 113.594749 iter 10 value 94.475131 iter 20 value 94.372461 iter 30 value 86.537460 iter 40 value 84.791729 iter 50 value 84.223351 iter 60 value 82.224797 iter 70 value 82.130324 iter 80 value 82.079789 iter 90 value 82.076265 iter 100 value 80.477143 final value 80.477143 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 105.729355 iter 10 value 94.475233 iter 20 value 94.469701 iter 30 value 94.468401 iter 40 value 94.263404 iter 50 value 90.355137 iter 60 value 89.355428 iter 70 value 89.316200 iter 80 value 86.651154 iter 90 value 84.852682 iter 100 value 84.091634 final value 84.091634 stopped after 100 iterations Fitting Repeat 1 # weights: 507 initial value 143.543175 iter 10 value 118.654488 iter 20 value 117.899111 iter 30 value 117.190390 iter 40 value 115.003316 iter 50 value 109.555868 iter 60 value 106.765116 iter 70 value 104.466036 iter 80 value 103.256186 iter 90 value 102.590821 iter 100 value 101.849755 final value 101.849755 stopped after 100 iterations Fitting Repeat 2 # weights: 507 initial value 135.637157 iter 10 value 117.823971 iter 20 value 117.573416 iter 30 value 109.750054 iter 40 value 109.017526 iter 50 value 108.291280 iter 60 value 103.883471 iter 70 value 102.489284 iter 80 value 101.752330 iter 90 value 101.335871 iter 100 value 101.227356 final value 101.227356 stopped after 100 iterations Fitting Repeat 3 # weights: 507 initial value 149.801209 iter 10 value 117.902785 iter 20 value 109.463109 iter 30 value 107.714671 iter 40 value 106.665457 iter 50 value 103.863616 iter 60 value 102.985049 iter 70 value 102.145271 iter 80 value 101.855619 iter 90 value 101.534464 iter 100 value 100.999712 final value 100.999712 stopped after 100 iterations Fitting Repeat 4 # weights: 507 initial value 127.208476 iter 10 value 118.012894 iter 20 value 114.877704 iter 30 value 109.800396 iter 40 value 108.577400 iter 50 value 104.245263 iter 60 value 103.598603 iter 70 value 103.079888 iter 80 value 102.854724 iter 90 value 102.576006 iter 100 value 102.224847 final value 102.224847 stopped after 100 iterations Fitting Repeat 5 # weights: 507 initial value 143.253915 iter 10 value 118.229911 iter 20 value 116.849025 iter 30 value 115.332896 iter 40 value 111.808988 iter 50 value 107.243464 iter 60 value 104.014766 iter 70 value 103.199294 iter 80 value 102.955162 iter 90 value 102.401755 iter 100 value 101.207172 final value 101.207172 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 -- Sat May 4 08:35:07 2024 *********************************************** 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 56.073 1.576 82.944
HPiP.Rcheck/HPiP-Ex.timings
name | user | system | elapsed | |
FSmethod | 38.281 | 0.603 | 38.979 | |
FreqInteractors | 0.273 | 0.024 | 0.298 | |
calculateAAC | 0.042 | 0.008 | 0.049 | |
calculateAutocor | 0.723 | 0.016 | 0.743 | |
calculateCTDC | 0.093 | 0.000 | 0.094 | |
calculateCTDD | 0.776 | 0.000 | 0.777 | |
calculateCTDT | 0.270 | 0.004 | 0.274 | |
calculateCTriad | 0.471 | 0.012 | 0.483 | |
calculateDC | 0.127 | 0.004 | 0.131 | |
calculateF | 0.461 | 0.023 | 0.487 | |
calculateKSAAP | 0.145 | 0.001 | 0.145 | |
calculateQD_Sm | 2.439 | 0.004 | 2.447 | |
calculateTC | 2.425 | 0.019 | 2.450 | |
calculateTC_Sm | 0.388 | 0.000 | 0.389 | |
corr_plot | 38.315 | 0.467 | 38.856 | |
enrichfindP | 0.537 | 0.028 | 39.625 | |
enrichfind_hp | 0.097 | 0.004 | 2.177 | |
enrichplot | 0.478 | 0.056 | 0.536 | |
filter_missing_values | 0.001 | 0.000 | 0.002 | |
getFASTA | 0.094 | 0.000 | 8.377 | |
getHPI | 0.001 | 0.000 | 0.001 | |
get_negativePPI | 0.002 | 0.000 | 0.001 | |
get_positivePPI | 0 | 0 | 0 | |
impute_missing_data | 0.002 | 0.000 | 0.001 | |
plotPPI | 0.081 | 0.008 | 0.089 | |
pred_ensembel | 18.408 | 0.553 | 16.580 | |
var_imp | 38.610 | 0.879 | 39.559 | |