.ppm output files

[adityac95]

Hello,
Apologies for the constant questions about IDyOM! I'm having a tough time understanding the structure of the .ppm output files that contain the n-gram trees. My goal is to visualise the trees up to a certain depth and extract n-gram counts from the model files by parsing them (most likely in Python, but there may be a way to do this with idyom functions, I just haven't figured it out yet). I'd appreciate any tips for getting started with this!

[mtpearce]

Not at all. There is a function in ppm-star/ppm-io.lisp called write-model-to-postscript that creates a visualisation of the suffix tree as a postscript file. The tree gets pretty complicated for large datasets but there is a keyword argument to control the depth of printing. In the file ppm-star/ppm-ui.lisp, there are some top-level functions for interfacing directly with the ppm-star package (i.e, without building multiple viewpoint systems for music objects) including one called ppm-predict which calls write-model-to-postscript. I'd suggest starting with something simple like the following: (ppm:ppm-predict '((a b r a c a d a b r a)) :ps "/Users/marcusp/abracadabra.ps") Before moving on to more complex examples. You might also find the ngram-frequencies function helpful.

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On 27/06/2022 21:03, Aditya Chander wrote: Hello, Apologies for the constant questions about IDyOM! I'm having a tough time understanding the structure of the .ppm output files that contain the n-gram trees. My goal is to visualise the trees up to a certain depth and extract n-gram counts from the model files by parsing them (most likely in Python, but there may be a way to do this with idyom functions, I just haven't figured it out yet). I'd appreciate any tips for getting started with this! — Reply to this email directly, view it on GitHub <#46>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ACZS6J7H5Q2P6VQOPBSGXQ3VRICJPANCNFSM5Z7UXU2A>. You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

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