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New ProbLog Distribution Version

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Theofrastos Mantadelis
2010-08-26 14:40:50 +02:00
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%%% -*- Mode: Prolog; -*-
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% $Date: 2010-08-24 15:23:06 +0200 (Tue, 24 Aug 2010) $
% $Revision: 4672 $
%
% This file is part of ProbLog
% http://dtai.cs.kuleuven.be/problog
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% ProbLog was developed at Katholieke Universiteit Leuven
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% Copyright 2008, 2009, 2010
% Katholieke Universiteit Leuven
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% Main authors of this file:
% Theofrastos Mantadelis
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
:- module(sampling, [problog_random/1,
problog_convergence_check/6]).
:- use_module(flags, _, [problog_define_flag/5,
problog_flag/2]).
:- use_module(os, _, [convert_filename_to_working_path/2]).
:- ensure_loaded(library(random)).
:- problog_define_flag(mc_batchsize, problog_flag_validate_posint, 'number of samples before update in montecarlo', 1000, monte_carlo_sampling).
:- problog_define_flag(min_mc_samples, problog_flag_validate_nonegint, 'minimum number of samples before to converge', 0, monte_carlo_sampling).
:- problog_define_flag(max_mc_samples, problog_flag_validate_nonegint, 'maximum number of samples waiting to converge', 1000000, monte_carlo_sampling).
:- problog_define_flag(randomizer, problog_flag_validate_in_list([repeatable, nonrepeatable]), 'whether the random numbers are repeatable or not', repeatable, monte_carlo_sampling).
problog_convergence_check(Time, P, SamplesSoFar, Delta, Epsilon, Converged):-
Epsilon is 2.0 * sqrt(P * abs(1.0 - P) / SamplesSoFar),
(problog_flag(verbose, true) ->
Pl is P - Epsilon,
Ph is P + Epsilon,
Diff is 2.0 * Epsilon,
(problog_flag(verbose,true) ->
format(user, '~n~w samples over ~q ms~nestimated probability ~w~n95 percent confidence interval [~w,~w]~n', [SamplesSoFar, Time, P, Pl, Ph])
;
true
),
% this should be generalized with log file system
problog_flag(mc_logfile, File1),
convert_filename_to_working_path(File1, File),
open(File, append, Log),
format(Log,'~w ~8f ~8f ~8f ~8f ~3f~n',[SamplesSoFar,P,Pl,Ph,Diff,Time]),
close(Log)
;
true
),
(Delta > 2.0 * Epsilon ->
problog_flag(min_mc_samples, MinSamples),
(MinSamples =< SamplesSoFar ->
Converged = true
;
Converged = continue
)
;
problog_flag(max_mc_samples, MaxSamples),
(MaxSamples =< SamplesSoFar ->
Converged = terminate
;
Converged = false
)
).
problog_random(Random):-
(problog_flag(randomizer, repeatable) ->
random(Random)
;
Random is random
).