Hi Nil, I thought to adopt the one for the GO.scm as in this example? https://github.com/opencog/test-datasets/tree/master/go
I have not yet seriously worked on it as I need to first be sure that the patternminer works on my system and I haven't been able to get something very simple to work as expected yet. I'll be tinkering again soon to see if I can get one of the examples to work and then I'll try it out on the GO.scm example. If that works, I'll start modifying the script that creates the scheme GO.scm file until it works with envo.obo ...Of course I'd love to share the results and what I'm finding with you; it'd be great if I can in some ways contribute to your awesome system! Does my plan sound reasonable? In terms of timing; I really need to have a working paper using this system ready before April 1st, so that I can distribute my dissertation to my committee. This means that I'd love to have the results as soon as possible; preferably before the end of January if that is possible? Johannes On Thursday, January 3, 2019 at 9:52:09 AM UTC, Nil wrote: > > On 1/3/19 11:37 AM, Johannes Castner wrote: > > Hi Nil, > > > > Does the new pattern miner support surprisingness yet? > > Nope :-( > > That's the last missing bit really. > > > That's what I'm hoping to make use of. > > Great. > > I might have recommended you to use the old pattern miner in the > meantime but I'm afraid it's gonna be too buggy. And implementing > surprisingness in the new pattern miner is pretty much my next task, so... > > What is your timing? When do you need this? > > If I understand correctly you want to mine patterns in > > https://raw.githubusercontent.com/EnvironmentOntology/envo/master/envo.obo > > and I suppose you already have some scripts to turn that into atoms. > Could you share that script? we might want to add it to > > https://github.com/opencog/external-tools > > and maybe turn your use-case into a pattern miner example, that would be > great. > > Nil > > > > > Johannes > > > > On Thursday, January 3, 2019 at 9:07:25 AM UTC, Nil wrote: > > > > Hi, > > > > you should use the new pattern miner, see > > > > > https://github.com/opencog/opencog/blob/master/opencog/learning/miner/README.md > > > < > https://github.com/opencog/opencog/blob/master/opencog/learning/miner/README.md> > > > > > > > > BTW, what doc did you follow to get to that command? I'm asking so I > > can > > redirect the user to the new pattern miner. > > > > Nil > > > > On 1/1/19 3:57 PM, Johannes Castner wrote: > > > Hi Nil, > > > > > > Thank you, that did that trick. Now I run: > > > > > > guile> (pm-run-patternminer) > > > > > > Yet no matter what knowledge base I run this on it never seems to > > find any interesting patterns. What could be the cause of that? > > > > > > Johannes > > > > > > On Sunday, December 30, 2018 at 9:43:13 PM UTC, Nil wrote: > > > > > > Hi Johannes, > > > > > > I'm not sure what you mean by compilation but it is > > recommended to > > > disable guile compilation as it makes loading large data set > > > impractical. For that do as follows > > > > > > guile --no-auto-compile -l my-data.scm > > > > > > where my-data.scm is the file containing your atomspace data. > > > > > > Hope it helps, let me know otherwise. > > > > > > Nil > > > > > > On 12/30/18 3:02 PM, Johannes Castner wrote: > > > > I'm quite interested in using the pattern miner for the > last > > > chapter of > > > > my dissertation and so I'm excited to work with it and try > > things > > > out. > > > > However, it seems as though the compilation of even small > > test > > > knowledge > > > > bases takes a lot of memory? For serious data sets, such > > as the > > > > environmental ontology > > > > > > > > > ( > https://raw.githubusercontent.com/EnvironmentOntology/envo/master/envo.obo > > < > https://raw.githubusercontent.com/EnvironmentOntology/envo/master/envo.obo> > > > > > > > > < > https://raw.githubusercontent.com/EnvironmentOntology/envo/master/envo.obo > > < > https://raw.githubusercontent.com/EnvironmentOntology/envo/master/envo.obo>>) > > > > > > > > > > it always crashes. 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