AI-Categorizer

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lib/AI/Categorizer/Collection.pm  view on Meta::CPAN

=item stopword_file

Specifies a file containing a list of "stopwords", which are words
that should automatically be disregarded when scanning/reading
documents.  The file should contain one word per line.  The file will
be parsed and then fed as the C<stopwords> parameter to the
Document C<new()> method.

=item verbose

If true, some status/debugging information will be printed to
C<STDOUT> during operation.

=item document_class

The class indicating what type of Document object should be created.
This generally specifies the format that the documents are stored in.
The default is C<AI::Categorizer::Document::Text>.

=back

lib/AI/Categorizer/Experiment.pm  view on Meta::CPAN

=item new( categories => \%categories )

=item new( categories => \@categories, verbose => 1, sig_figs => 2 )

Returns a new Experiment object.  A required C<categories> parameter
specifies the names of all categories in the data set.  The category
names may be specified either the keys in a reference to a hash, or as
the entries in a reference to an array.

The C<new()> method accepts a C<verbose> parameter which
will cause some status/debugging information to be printed to
C<STDOUT> when C<verbose> is set to a true value.

A C<sig_figs> indicates the number of significant figures that should
be used when showing the results in the C<results_table()> method.  It
does not affect the other methods like C<micro_precision()>.

=item add_result($assigned, $correct, $name)

Adds a new result to the experiment.  Please see the
C<Statistics::Contingency> documentation for a description of this

lib/AI/Categorizer/FeatureSelector.pm  view on Meta::CPAN

No change - multiply by 1.

=back

The three components may alternatively be specified by the
C<term_weighting>, C<collection_weighting>, and C<normalize_weighting>
parameters respectively.

=item verbose

If set to a true value, some status/debugging information will be
output on C<STDOUT>.

=back


=item categories()

In a list context returns a list of all Category objects in this
KnowledgeSet.  In a scalar context returns the number of such objects.

lib/AI/Categorizer/KnowledgeSet.pm  view on Meta::CPAN

No change - multiply by 1.

=back

The three components may alternatively be specified by the
C<term_weighting>, C<collection_weighting>, and C<normalize_weighting>
parameters respectively.

=item verbose

If set to a true value, some status/debugging information will be
output on C<STDOUT>.

=back


=item categories()

In a list context returns a list of all Category objects in this
KnowledgeSet.  In a scalar context returns the number of such objects.