Algorithm-TicketClusterer
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lib/Algorithm/TicketClusterer.pm view on Meta::CPAN
printf("%20s ==> %s\n", $key, $value);
}
}
}
}
sub show_raw_ticket_clustering_data_for_given_id {
my $self = shift;
my $ticket_id = shift;
my $record = $self->{_tickets_by_ids}->{$ticket_id};
print "\n\nDISPLAYING THE RAW CLUSTERING DATA FOR TICKET $ticket_id:\n\n" .
"$record\n\n";
return $record;
}
# Needed by test.t
sub _raw_ticket_clustering_data_for_given_id {
my $self = shift;
my $ticket_id = shift;
my $record = $self->{_tickets_by_ids}->{$ticket_id};
return $record;
}
sub show_processed_ticket_clustering_data_for_given_id {
my $self = shift;
my $ticket_id = shift;
my $record = $self->{_processed_tkts_by_ids}->{$ticket_id};
print "\n\nDISPLAYING PROCESSED CLUSTERING DATA FOR TICKET $ticket_id:\n\n" .
"$record\n\n";
}
sub show_stemmed_ticket_clustering_data_for_given_id {
my $self = shift;
my $ticket_id = shift;
my $record = $self->{_stemmed_tkts_by_ids}->{$ticket_id};
print "\n\nDISPLAYING STEMMED CLUSTERING DATA FOR TICKET $ticket_id:\n\n" .
"$record\n\n";
}
# The following function is a good diagnostic tool to look into the
# array stored in $self->{_all_tickets}. Each element of this array
# is a record that represents one row of the Excel file.
sub _show_row {
my $self = shift;
my $row_num = shift;
my $total_rows = @{$self->{_all_tickets}};
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