cocopp API Documentation
Module Index
cocopp
-
COmparing Continuous Optimisers (COCO) post-processing package
cocopp.__main__
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Calls rungeneric.py.
cocopp.algportfolio
-
Algorithm portfolio data set module.
cocopp.archives
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Undocumented
cocopp.archives2
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Undocumented
cocopp.archiving
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Online and offline archiving of COCO data.
cocopp.bestalg
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Best algorithm dataset module
cocopp.bwsettings
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This module contains settings for outputting black and white figures.
cocopp.captions
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Provides basic functionality for creating figure and table captions.
cocopp.cococommands
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Depreciated (
cocopp
itself is to be used from Jupyter or IPython): Module for using COCO from the (i)Python interpreter.
cocopp.comp2
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COmparing Continuous Optimisers (COCO) post-processing tool for comparing two algorithms:
cocopp.comp2.ppfig2
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Creates aRT-ratio comparison figures (ECDF) and convergence figures for the comparison of 2 algorithms.
cocopp.comp2.pprldistr2
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Creates run length distribution figures for the comparison of 2 algorithms.
cocopp.comp2.ppscatter
-
Scatter Plots.
cocopp.compall
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COmparing Continuous Optimisers (COCO) post-processing tool for comparing multiple algorithms:
cocopp.compall.organizeRTDpictures
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Routine to organize the output folder in which runcompall puts all the output.
cocopp.compall.ppfigs
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Creates aRTs and convergence figures for multiple algorithms.
cocopp.compall.ppperfprof
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For generating performance profiles. This module is not in use (anymore or not yet?).
cocopp.compall.pprldmany
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Generates figure of the bootstrap distribution of aRT.
cocopp.compall.pptables
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Routines for the generation of TeX tables.
cocopp.config
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This module is an attempt for a global configuration file for various parameters.
cocopp.dataformatsettings
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No module docstring; 2/4 classes documented
cocopp.findfiles
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Recursively find :file:`info` and zipped files within a directory and administer archives.
cocopp.firstsession
-
First session script.
cocopp.genericsettings
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This module contains some global variables settings for COCO.
cocopp.grayscalesettings
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This module contains settings for outputting grayscale figures.
cocopp.htmldesc
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Prepares the descriptions of images and tables which will be converted to html.
cocopp.old_ranksumtest
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Stats including rank-sum test for small sample and correct tied ranks. Author: Sturla Molden
http://mail.scipy.org/pipermail/scipy-user/2009-February/019759.html
cocopp.ppconverrorbars
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Process data and generates some comparison results.
cocopp.ppfig
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Generic routines for figure generation.
cocopp.ppfigdim
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Generate performance scaling figures.
cocopp.ppfigparam
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Generate aRT vs param. figures.
cocopp.pplogloss
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Module for computing aRT loss ratio
cocopp.pprldistr
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For generating empirical cumulative distribution function figures.
cocopp.pprldistr2009_hardestRLB
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Generates "pprldistr2009_RLB.pickle.gz" that is used to plot, in the background, the results of the 2009 algorithms
cocopp.pproc
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Raw post-processing routines.
cocopp.pprocold
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Helper routines for read index files.
cocopp.ppsingle
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Single data set results output module.
cocopp.pptable
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Module for generating tables used by rungeneric1.py.
cocopp.pptex
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Routines for writing TeX for tables.
cocopp.preparehtml
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Prepares the figure and table descriptions in html.
cocopp.preparetexforhtml
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Prepares the descriptions of images and tables which will be converted to html.
cocopp.readalign
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Helper routines to read in data files.
cocopp.rungeneric
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Process data to be included in a latex template. Called via
cocopp.rungeneric1
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Module for post-processing the data of one algorithm.
cocopp.rungenericmany
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Process data to be included in a generic template.
cocopp.sanitycheck
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Module for checking data sets.
cocopp.test
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Tests the cocopp module.
cocopp.testbedsettings
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No module docstring; 10/10 classes, 1/9 functions documented
cocopp.toolsdivers
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Various tools.
cocopp.toolsstats
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Bootstrapping and statistics routines.