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. 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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