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# Chi-square probability combining and related constants. # # <@LICENSE> # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to you under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at: # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # </@LICENSE> use strict; # make Test::Perl::Critic happy # this package is a no-op; the real impl code is in another pkg. package Mail::SpamAssassin::Bayes::CombineChi; 1; # Force into another package, so our symbols will appear in that namespace with # no indirection, for speed. Other combiners must do the same, since Bayes.pm # uses this namespace directly. This means only one combiner can be loaded at # any time. package Mail::SpamAssassin::Bayes::Combine; use strict; use warnings; # use bytes; use re 'taint'; use POSIX qw(frexp); use constant LN2 => log(2); # Value for 'x' in Gary Robinson's f(w) equation. # "Let x = the number used when n [hits] is 0." our $FW_X_CONSTANT = 0.538; # Value for 's' in the f(w) equation. "We can see s as the "strength" (hence # the use of "s") of an original assumed expectation ... relative to how # strongly we want to consider our actual collected data." Low 's' means # trust collected data more strongly. our $FW_S_CONSTANT = 0.030; # (s . x) for the f(w) equation. our $FW_S_DOT_X = ($FW_X_CONSTANT * $FW_S_CONSTANT); # Should we ignore tokens with probs very close to the middle ground (.5)? # tokens need to be outside the [ .5-MPS, .5+MPS ] range to be used. our $MIN_PROB_STRENGTH = 0.346; ########################################################################### # Chi-Squared method. Produces mostly boolean $result, # but with a grey area. sub combine { my ($ns, $nn, $sortedref) = @_; # @$sortedref contains an array of the probabilities my $wc = scalar @$sortedref; return unless $wc; my ($H, $S); my ($Hexp, $Sexp); $Hexp = $Sexp = 0; # see bug 3118 my $totmsgs = ($ns + $nn); if ($totmsgs == 0) { return; } $S = ($ns / $totmsgs); $H = ($nn / $totmsgs); foreach my $prob (@$sortedref) { $S *= 1.0 - $prob; $H *= $prob; if ($S < 1e-200) { my $e; ($S, $e) = frexp($S); $Sexp += $e; } if ($H < 1e-200) { my $e; ($H, $e) = frexp($H); $Hexp += $e; } } $S = log($S) + $Sexp * LN2; $H = log($H) + $Hexp * LN2; # note: previous versions used (2 * $wc) as second arg ($v), but the chi2q() # fn then just used ($v/2) internally! changed to simply supply $wc as # ($halfv) directly instead to avoid redundant doubling and halving. The # side-effect is that chi2q() uses a different API now, but it's only used # here anyway. $S = 1.0 - chi2q(-2.0 * $S, $wc); $H = 1.0 - chi2q(-2.0 * $H, $wc); return (($S - $H) + 1.0) / 2.0; } # Chi-squared function (API changed; see comment above) sub chi2q { my ($x2, $halfv) = @_; my $m = $x2 / 2.0; my ($sum, $term); $sum = $term = exp(0 - $m); # replace 'for my $i (1 .. (($v/2)-1))' idiom, which creates a temp # array, with a plain C-style for loop my $i; for ($i = 1; $i < $halfv; $i++) { $term *= $m / $i; $sum += $term; } return $sum < 1.0 ? $sum : 1.0; } 1;