[ANN]: DiscretePredictors.jl - A Package for online prediction of discrete symbols

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Hello everyone,

I’m very happy to announce a julia package (my first one :slight_smile: ) for online discrete symbol prediction DiscretePredictors.jl.

DiscretePredictors is a collection of algorithms for online discrete sequence prediction. It provides a common API to various discrete sequence prediction algorithms. My goals with the package are:

  • Simple Interface
  • Easily Extendable
  • Reproducible Research

Documentation is available at: Home · DiscretePredictors.jl

Kindly share your views about the package.

With Regards
vish

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What is online? And discrete sequence prediction? A simple high-level summary would be nice. I have a Master of Statistics but have never come across these concepts.

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My guess would be that online refers to the fact that data is fed continuously. In certain frameworks (eg neural networks) one distinguishes between batch learning and online learning.
Discrete: I would guess that there is a finite number of possible symbols.

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Hi,
Online-discrete here means that you are seeing a sequence of symbols and you want to predict what will be the next symbol based on your history of observations. For a more detailed explanation, checkout http://www.eecs.wsu.edu/~cook/pubs/is05.pdf

This package includes some algorithms which can be used in such scenarios.

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That’s what prediction is, generally :smile:

I agree with @bernhard, and suspect that online in this context means that previous observations are summarized by a sufficient statistic that is simpler than the space of all possible histories (similarly to OnlineStats.jl; this is a common usage of the term), and discrete means that the set of possible observations is countable (and potentially finite).

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