Hi Nil, 

Actually, I couldn't wait to try it and I found that it seems to be 
working!  Does it still save files with the mined patterns, or does it just 
store those mined patterns in the Atom Space?  

Johannes

On Thursday, January 3, 2019 at 6:27:31 PM UTC, Nil wrote:
>
> Hi Johannes, 
>
> On 1/3/19 4:36 PM, Johannes Castner wrote: 
> > 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 
>
> It seems that code is more recent 
>
> https://github.com/opencog/agi-bio/tree/master/knowledge-import 
>
> > 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 
> \ 
>
> I should mention that the new pattern miner is already quite stable. If 
> you can install opencog on your system, it should work. 
>
> > ...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 
>
> It would also be of interest to the AGI-Bio team. 
>
> > 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? 
>
> That seems doable. I should start implementing surprisingness next week. 
> The time it takes depends on how it is implemented, I'm aiming at 
> something as general as possible but might also start with something 
> more specialized, I mean I'll do my best so you have something that 
> works on time. 
>
> Meanwhile if you can run the pattern miner on your data just to make 
> sure it works so far, maybe even verify at hand that it can find 
> surprising patterns, etc, would be very good. 
>
> Nil 
>
> > 
> > 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 
> >     <
> 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 
> >     <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>
>  
>
> > 
> >      >     
> >     <
> 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>> 
>
> > 
> >      > 
> >      >      > 
> >      >     
> >     <
> 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.  Is there a way to compile the 
> >     data in 
> >      >     a more 
> >      >      >     memory 
> >      >      >      > efficient way, or compile it somehow elsewhere and 
> >     upload it? 
> >      >      >      > 
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