270 lines
12 KiB
Prolog
270 lines
12 KiB
Prolog
%%% -*- Mode: Prolog; -*-
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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% $Date: 2011-11-28 14:41:26 +0100 (Mon, 28 Nov 2011) $
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% $Revision: 6764 $
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%
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% This file is part of ProbLog
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% http://dtai.cs.kuleuven.be/problog
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%
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% ProbLog was developed at Katholieke Universiteit Leuven
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%
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% Copyright 2008, 2009, 2010
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% Katholieke Universiteit Leuven
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%
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% Main authors of this file:
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% Theofrastos Mantadelis
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%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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% Artistic License 2.0
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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:- module(sampling, [problog_random/1,
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problog_convergence_check/6]).
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:- use_module(flags, _, [problog_define_flag/5,
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problog_flag/2]).
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:- use_module(os, _, [convert_filename_to_working_path/2]).
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:- use_module(library(random)).
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:- initialization((
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problog_define_flag(mc_batchsize, problog_flag_validate_posint, 'number of samples before update in montecarlo', 1000, monte_carlo_sampling),
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problog_define_flag(min_mc_samples, problog_flag_validate_nonegint, 'minimum number of samples before to converge', 0, monte_carlo_sampling),
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problog_define_flag(max_mc_samples, problog_flag_validate_nonegint, 'maximum number of samples waiting to converge', 1000000, monte_carlo_sampling),
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problog_define_flag(randomizer, problog_flag_validate_in_list([repeatable, nonrepeatable]), 'whether the random numbers are repeatable or not', repeatable, monte_carlo_sampling)
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)).
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problog_convergence_check(Time, P, SamplesSoFar, Delta, Epsilon, Converged):-
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Epsilon is 2.0 * sqrt(P * abs(1.0 - P) / SamplesSoFar),
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(problog_flag(verbose, true) ->
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Pl is P - Epsilon,
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Ph is P + Epsilon,
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Diff is 2.0 * Epsilon,
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(problog_flag(verbose,true) ->
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format(user, '~n~w samples over ~q ms~nestimated probability ~w~n95 percent confidence interval [~w,~w]~n', [SamplesSoFar, Time, P, Pl, Ph])
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;
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true
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),
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% this should be generalized with log file system
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problog_flag(mc_logfile, File1),
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convert_filename_to_working_path(File1, File),
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open(File, append, Log),
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format(Log,'~w ~8f ~8f ~8f ~8f ~3f~n',[SamplesSoFar,P,Pl,Ph,Diff,Time]),
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close(Log)
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;
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true
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),
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(Delta > 2.0 * Epsilon ->
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problog_flag(min_mc_samples, MinSamples),
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(MinSamples =< SamplesSoFar ->
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Converged = true
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;
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Converged = continue
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)
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;
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problog_flag(max_mc_samples, MaxSamples),
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(MaxSamples =< SamplesSoFar ->
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Converged = terminate
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;
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Converged = false
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)
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).
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problog_random(Random):-
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(problog_flag(randomizer, repeatable) ->
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random(Random)
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;
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Random is random
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).
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