Did you know ... Search Documentation:
Packs (add-ons) for SWI-Prolog

Package "pepl"

Title:Parameter estimation for SLP with the Failure Adjusted Maximisation algorithm.
Rating:Not rated. Create the first rating!
Latest version:2.1
SHA1 sum:3f05a9ae71d2db3ecef0542797f954e83ae2bc04
Author:Nicos Angelopoulos http://stoics.org.uk/~nicos
Maintainer:Nicos Angelopoulos http://stoics.org.uk/~nicos
Packager:Nicos Angelopoulos http://stoics.org.uk/~nicos
Home page:http://stoics.org.uk/~nicos/sware/pepl
Download URL:http://stoics.org.uk/~nicos/sware/packs/pepl/pepl-*.tgz


No reviews. Create the first review!.

Details by download location

  1. Licence

    This software is distributed under the MIT licence.

  2. Introduction

    These programs (Pepl) implement and demonstrate parameter estimation (PE) in SLPs, using the FAM algorithm. For more information on how to use these programs see, doc/user_guide.ps.gz. In doc/pfam.ps.gz are some reading notes on the implementation of the FAM algorithm.

  3. Installation

    You most likely already done that. Pe-pl is distributed as Prolog source code that can be run on the following Prolog systems:

    Yap (tested on 6.3)
    Swi tested on 7.1.4.

    Older versions are known to run on:

    SICStus (last tested on 3.10, Pepl sources are now well out of date)
    On Swi you can install with
            ?- pack_install( pepl ).
    On Yap simply download the latest sources from
    then gunzip and untar the downloaded file.
  4. Quick start.

    On SWI, start swipl, and



    main. main_store. main_sample. main_exact. (alias for main)

    On Yap, cd to the Pepl's examples directory start yap, and then

    [main]. main. main_store. main_sample. main_exact. (alias for main)

    See main_* files in examples/ for more examples and doc/ for documentation.

  5. Contact

    Nicos Angelopoulos, http://stoics.org.uk/~nicos

    London, February 2017

Contents of pack "pepl"

Pack contains 336 files holding a total of 818K bytes.