view test-data/mothur.1518613872.logfile @ 3:899ef1660676 draft

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/mothur commit 4648c7574a78601e03ae6a318cbcd5b492a8a9f4
author iuc
date Wed, 14 Feb 2018 09:44:01 -0500
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Linux version

Using ReadLine

Running 64Bit Version

mothur v.1.39.5
Last updated: 3/20/2017

by
Patrick D. Schloss

Department of Microbiology & Immunology
University of Michigan
http://www.mothur.org

When using, please cite:
Schloss, P.D., et al., Introducing mothur: Open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol, 2009. 75(23):7537-41.

Distributed under the GNU General Public License

Type 'help()' for information on the commands that are available

For questions and analysis support, please visit our forum at https://www.mothur.org/forum

Type 'quit()' to exit program
Interactive Mode


mothur > classify.svm(shared=final.tx.1.subsample.1.pick.shared,design=test.design, stdthreshold=0.1)
1
feature index 43
feature 43 has std 1.13039
feature index 42
feature 42 has std 0.333333
feature index 41
feature 41 has std 1.13039
feature index 40
feature 40 has std 0.666667
feature index 39
feature 39 has std 0.707107
feature index 38
feature 38 has std 0.726483
feature index 37
feature 37 has std 1.41421
feature index 36
feature 36 has std 0.440959
feature index 35
feature 35 has std 1.05409
feature index 34
feature 34 has std 1.11803
feature index 33
feature 33 has std 2.59808
feature index 32
feature 32 has std 1.5899
feature index 31
feature 31 has std 0.440959
feature index 30
feature 30 has std 1.11803
feature index 29
feature 29 has std 1.30171
feature index 28
feature 28 has std 0.666667
feature index 27
feature 27 has std 0.333333
feature index 26
feature 26 has std 0.833333
feature index 25
feature 25 has std 0.726483
feature index 24
feature 24 has std 0.666667
feature index 23
feature 23 has std 0.333333
feature index 22
feature 22 has std 1.50923
feature index 21
feature 21 has std 1.53659
feature index 20
feature 20 has std 1.16667
feature index 19
feature 19 has std 1.41421
feature index 18
feature 18 has std 14.8577
feature index 17
feature 17 has std 1.66667
feature index 16
feature 16 has std 3.32081
feature index 15
feature 15 has std 7.93375
feature index 14
feature 14 has std 18.2422
feature index 13
feature 13 has std 42.354
feature index 12
feature 12 has std 10.7471
feature index 11
feature 11 has std 261.303
feature index 10
feature 10 has std 36.524
feature index 9
feature 9 has std 78.4301
feature index 8
feature 8 has std 58.3919
feature index 7
feature 7 has std 33.6022
feature index 6
feature 6 has std 107.001
feature index 5
feature 5 has std 15.6
feature index 4
feature 4 has std 184.297
feature index 3
feature 3 has std 278.832
feature index 2
feature 2 has std 182.178
feature index 1
feature 1 has std 111.537
feature index 0
feature 0 has std 398.811
transforming data to have zero mean and unit variance
SVM-RFE round 1:
44 unranked features





































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































failed to train SVM on labels A and B
[ERROR]: std::exceptionRAM used: 0.00563812Gigabytes . Total Ram: 62.8475Gigabytes.

 has occurred in the ClassifySvmSharedCommand class function processSharedAndDesignData. Please contact Pat Schloss at mothur.bugs@gmail.com, and be sure to include the mothur.logFile with your inquiry.