gptips v2.0

Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB Version 2.0 (22nd May 2015)

Contains the Hypothesis-ML engine for using ML to build models (version 2.0). This module does not require any additional MATLAB toolboxes.

Contains the Sym-XAI explainable AI module for interpreting and visualising models and also for simplifying and exporting non-linear regression models (version 2.0). This module requires the additional MATLAB Symbolic Math Toolbox.

The Sym-XAI module components are for use with MATLAB versions up to and including R2017b.

At time of writing, you will get Symbolic Math toolbox errors in MATLAB versions R2018a and above if you use the v2.0 Sym-XAI module. This is due to recent major changes in MATLAB's Symbolic Math Toolbox.

Please refer to gptips.org for details

15th March 2021

(c) Dominic Searson 2009-2021

[email protected]

https://gptips.org

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
Contents.m		Contents.m
HTMLequation.m		HTMLequation.m
LICENSE		LICENSE
README.md		README.md
add3.m		add3.m
bootsample.m		bootsample.m
comparemodelsREC.m		comparemodelsREC.m
concrete.mat		concrete.mat
crossover.m		crossover.m
cube.m		cube.m
cubic_config.m		cubic_config.m
demo2data.mat		demo2data.mat
displaystats.m		displaystats.m
drawtrees.m		drawtrees.m
evalfitness.m		evalfitness.m
evalfitness_par.m		evalfitness_par.m
extract.m		extract.m
gauss.m		gauss.m
genebrowser.m		genebrowser.m
genefilter.m		genefilter.m
genes2gpmodel.m		genes2gpmodel.m
getcomplexity.m		getcomplexity.m
getdepth.m		getdepth.m
getnumnodes.m		getnumnodes.m
gp_2d_mesh.m		gp_2d_mesh.m
gp_userfcn.m		gp_userfcn.m
gpand.m		gpand.m
gpcheck.m		gpcheck.m
gpdefaults.m		gpdefaults.m
gpdemo1.m		gpdemo1.m
gpdemo1_config.m		gpdemo1_config.m
gpdemo2.m		gpdemo2.m
gpdemo2_config.m		gpdemo2_config.m
gpdemo3.m		gpdemo3.m
gpdemo3_config.m		gpdemo3_config.m
gpdemo4.m		gpdemo4.m
gpdemo4_config.m		gpdemo4_config.m
gpfinalise.m		gpfinalise.m
gpinit.m		gpinit.m
gpinitparallel.m		gpinitparallel.m
gpl.txt		gpl.txt
gpmodel2func.m		gpmodel2func.m
gpmodel2mfile.m		gpmodel2mfile.m
gpmodel2struct.m		gpmodel2struct.m
gpmodel2sym.m		gpmodel2sym.m
gpmodelfilter.m		gpmodelfilter.m
gpmodelgenes2mfile.m		gpmodelgenes2mfile.m
gpmodelreport.m		gpmodelreport.m
gpmodelvars.m		gpmodelvars.m
gpnot.m		gpnot.m
gpor.m		gpor.m
gppopvars.m		gppopvars.m
gppretty.m		gppretty.m
gprandom.m		gprandom.m
gpreformat.m		gpreformat.m
gpsimplify.m		gpsimplify.m
gpterminate.m		gpterminate.m
gptic.m		gptic.m
gptoc.m		gptoc.m
gptoolboxcheck.m		gptoolboxcheck.m
gptreestructure.m		gptreestructure.m
gth.m		gth.m
iflte.m		iflte.m
initbuild.m		initbuild.m
kogene.m		kogene.m
lth.m		lth.m
maxx.m		maxx.m
mergegp.m		mergegp.m
minx.m		minx.m
mult3.m		mult3.m
mutate.m		mutate.m
ndfsort_rank1.m		ndfsort_rank1.m
neg.m		neg.m
negexp.m		negexp.m
paretoreport.m		paretoreport.m
pdiv.m		pdiv.m
ph2data.mat		ph2data.mat
picknode.m		picknode.m
plog.m		plog.m
popbrowser.m		popbrowser.m
popbuild.m		popbuild.m
pref2inf.m		pref2inf.m
processOrgChartJS.m		processOrgChartJS.m
psqroot.m		psqroot.m
quartic_fitfun.m		quartic_fitfun.m
regressionErrorCharacteristic.m		regressionErrorCharacteristic.m
regressmulti_fitfun.m		regressmulti_fitfun.m
regressmulti_fitfun_validate.m		regressmulti_fitfun_validate.m
ripple_config.m		ripple_config.m
rungp.m		rungp.m
runtree.m		runtree.m
salustowicz1d_config.m		salustowicz1d_config.m
scangenes.m		scangenes.m
selection.m		selection.m
square.m		square.m
standaloneModelStats.m		standaloneModelStats.m
step.m		step.m
summary.m		summary.m
thresh.m		thresh.m
tree2evalstr.m		tree2evalstr.m

License

domsearson/gptips-2-0

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