| line |
true |
false |
branch |
|
22
|
1 |
0 |
if (@_ % 2 != 0) { } |
|
27
|
0 |
0 |
unless $eval_or_boosting_mode eq 'evalmode' or $eval_or_boosting_mode eq 'boostingmode' |
|
28
|
0 |
0 |
if @_ |
|
30
|
1 |
0 |
unless ($eval_or_boosting_mode) |
|
32
|
0 |
1 |
if check_for_illegal_params2(@params) == 0 |
|
48
|
0 |
1 |
exists $args{'max_depth_desired'} ? : |
|
83
|
0 |
0 |
unless $self->check_names_used(\@features_and_values) |
|
94
|
0 |
0 |
if not $_ =~ /^$numregex$/ |
|
95
|
0 |
0 |
if (not contained_in($feature, keys %{$$self{'_prob_distribution_numeric_features_hash'};}) and $not_all_values_float == 0) |
|
102
|
0 |
0 |
if $self->{'_debug3'} |
|
111
|
0 |
0 |
if ($self->{'_debug3'}) |
|
119
|
0 |
0 |
if ($item ne 'solution_path') { } |
|
140
|
0 |
0 |
if (@children == 0) |
|
150
|
0 |
0 |
if $self->{'_debug3'} |
|
156
|
0 |
0 |
if $feature_tested_at_node eq $1 |
|
159
|
0 |
0 |
unless (defined $value_for_feature) |
|
167
|
0 |
0 |
if ($value_for_feature) |
|
168
|
0 |
0 |
if (contained_in($feature_tested_at_node, keys %{$$self{'_prob_distribution_numeric_features_hash'};})) { } |
|
169
|
0 |
0 |
if $self->{'_debug3'} |
|
175
|
0 |
0 |
if ($last_feature_and_value_on_branch =~ /$pattern1/) |
|
177
|
0 |
0 |
if ($value_for_feature <= $threshold) |
|
185
|
0 |
0 |
if ($last_feature_and_value_on_branch =~ /$pattern2/) |
|
187
|
0 |
0 |
if ($value_for_feature > $threshold) |
|
196
|
0 |
0 |
if $path_found |
|
200
|
0 |
0 |
if $self->{'_debug3'} |
|
203
|
0 |
0 |
if $self->{'_debug3'} |
|
205
|
0 |
0 |
if ($last_feature_and_value_on_branch eq $feature_value_combo) |
|
213
|
0 |
0 |
if $path_found |
|
216
|
0 |
0 |
unless ($path_found) |
|
247
|
0 |
0 |
if ($item ne 'solution_path') { } |
|
271
|
0 |
0 |
if (@children == 0) |
|
288
|
0 |
0 |
if (contained_in($feature_tested_at_node, keys %{$$self{'_prob_distribution_numeric_features_hash'};})) { } |
|
289
|
0 |
0 |
if ($scratchpad_for_numerics{$feature_tested_at_node}) { } |
|
300
|
0 |
0 |
if ($user_value_for_feature >= $valuerange[0] and $user_value_for_feature <= $valuerange[1]) |
|
304
|
0 |
0 |
if $answer_found |
|
311
|
0 |
0 |
if ($branch_attribute =~ /$pattern1/) |
|
313
|
0 |
0 |
if ($user_value_for_feature <= $threshold) |
|
321
|
0 |
0 |
if ($branch_attribute =~ /$pattern2/) |
|
323
|
0 |
0 |
if ($user_value_for_feature > $threshold) |
|
332
|
0 |
0 |
if $path_found |
|
342
|
0 |
0 |
if (contained_in($user_value_for_feature, @possible_values_for_feature)) |
|
346
|
0 |
0 |
if $answer_found |
|
352
|
0 |
0 |
if ($branch_attribute eq $feature_value_combo) |
|
360
|
0 |
0 |
if $path_found |
|
362
|
0 |
0 |
unless ($path_found) |
|
381
|
0 |
1 |
if ($self->{'_debug3'}) |
|
386
|
0 |
1 |
if ($self->{'_debug3'}) |
|
391
|
0 |
1 |
if $self->{'_debug3'} |
|
407
|
0 |
26 |
if $self->{'_debug3'} |
|
411
|
0 |
26 |
if ($self->{'_debug3'}) |
|
418
|
8 |
18 |
if ($existing_node_entropy < $self->{'_entropy_threshold'}) |
|
419
|
0 |
8 |
if $self->{'_debug3'} |
|
426
|
0 |
18 |
if $self->{'_debug3'} |
|
427
|
0 |
18 |
if (defined $self->{'_max_depth_desired'} and @features_and_values_or_thresholds_on_branch >= $self->{'_max_depth_desired'}) |
|
429
|
0 |
0 |
if $self->{'_debug3'} |
|
432
|
0 |
18 |
unless defined $best_feature |
|
433
|
0 |
18 |
if ($self->{'_debug3'}) |
|
440
|
0 |
18 |
if $self->{'_debug3'} |
|
441
|
12 |
6 |
if ($entropy_gain > $self->{'_entropy_threshold'}) { } |
|
442
|
0 |
12 |
if (exists $self->{'_numeric_features_valuerange_hash'}{$best_feature} and $self->{'_feature_values_how_many_uniques_hash'}{$best_feature} > $self->{'_symbolic_to_numeric_cardinality_threshold'}) { } |
|
457
|
0 |
0 |
if ($self->{'_debug3'}) |
|
469
|
0 |
0 |
if ($self->{'_debug3'}) |
|
473
|
0 |
0 |
if ($best_entropy_for_less < $existing_node_entropy - $self->{'_entropy_threshold'}) |
|
480
|
0 |
0 |
if ($best_entropy_for_greater < $existing_node_entropy - $self->{'_entropy_threshold'}) |
|
489
|
0 |
12 |
if $self->{'_debug3'} |
|
491
|
0 |
12 |
if $self->{'_debug3'} |
|
496
|
0 |
40 |
if $self->{'_debug3'} |
|
498
|
4 |
36 |
if (not @features_and_values_or_thresholds_on_branch) { } |
|
513
|
0 |
40 |
if ($self->{'_debug3'}) |
|
517
|
25 |
15 |
if ($existing_node_entropy - $class_entropy_for_child > $self->{'_entropy_threshold'}) { } |
|
523
|
0 |
15 |
if $self->{'_debug3'} |
|
529
|
0 |
6 |
if $self->{'_debug3'} |
|
555
|
72 |
0 |
unless exists $self->{'_prob_distribution_numeric_features_hash'}{$feature_name} |
|
559
|
47 |
0 |
if $feature_and_value_or_threshold =~ /$pattern1/ |
|
563
|
25 |
47 |
unless contained_in($x, @symbolic_features_already_used) |
|
570
|
0 |
47 |
if ($item =~ /$pattern2/) { } |
|
|
0 |
47 |
elsif ($item =~ /$pattern3/) { } |
|
|
47 |
0 |
elsif ($item =~ /$pattern1/) { } |
|
584
|
0 |
0 |
if not $seen{$_}++ |
|
586
|
47 |
0 |
if not $seen{$_}++ |
|
598
|
0 |
0 |
if ($feature_grouping->[1] eq '>') { } |
|
617
|
0 |
72 |
if $self->{'_debug3'} |
|
618
|
47 |
25 |
if (contained_in($feature_name, @symbolic_features_already_used)) { } |
|
|
0 |
25 |
elsif (contained_in($feature_name, keys %{$$self{'_numeric_features_valuerange_hash'};}) and $self->{'_feature_values_how_many_uniques_hash'}{$feature_name} > $self->{'_symbolic_to_numeric_cardinality_threshold'}) { } |
|
624
|
0 |
0 |
if $self->{'_debug3'} |
|
626
|
0 |
0 |
if (contained_in($feature_name, @true_numeric_types_feature_names)) { } |
|
627
|
0 |
0 |
if (defined $upperbound{$feature_name} and defined $lowerbound{$feature_name} and $lowerbound{$feature_name} >= $upperbound{$feature_name}) { } |
|
|
0 |
0 |
elsif (defined $upperbound{$feature_name} and defined $lowerbound{$feature_name} and $lowerbound{$feature_name} < $upperbound{$feature_name}) { } |
|
|
0 |
0 |
elsif (defined $upperbound{$feature_name}) { } |
|
|
0 |
0 |
elsif (defined $lowerbound{$feature_name}) { } |
|
633
|
0 |
0 |
if $x > $lowerbound{$feature_name} and $x <= $upperbound{$feature_name} |
|
637
|
0 |
0 |
if $x <= $upperbound{$feature_name} |
|
641
|
0 |
0 |
if $x > $lowerbound{$feature_name} |
|
649
|
0 |
0 |
if @newvalues == 0 |
|
656
|
0 |
0 |
if (@features_and_values_or_thresholds_on_branch) { } |
|
678
|
0 |
0 |
if ($min_entropy < $existing_node_entropy) |
|
683
|
0 |
25 |
if $self->{'_debug3'} |
|
684
|
0 |
25 |
if $self->{'_debug3'} |
|
686
|
82 |
0 |
if $_ ne 'NA' |
|
689
|
0 |
25 |
if $self->{'_debug3'} |
|
694
|
0 |
82 |
if $self->{'_debug3'} |
|
696
|
68 |
14 |
if (@features_and_values_or_thresholds_on_branch) { } |
|
705
|
0 |
82 |
if $self->{'_debug3'} |
|
708
|
25 |
0 |
if ($entropy < $existing_node_entropy) |
|
716
|
18 |
54 |
if (not defined $best_feature_name) { } |
|
720
|
13 |
41 |
if ($entropy_values_for_different_features{$feature_nom} < $min_entropy_for_best_feature) |
|
727
|
18 |
0 |
if (exists $partitioning_point_threshold{$best_feature_name}) { } |
|
735
|
0 |
18 |
if (exists $self->{'_numeric_features_valuerange_hash'}{$best_feature_name} and $self->{'_feature_values_how_many_uniques_hash'}{$best_feature_name} > $self->{'_symbolic_to_numeric_cardinality_threshold'}) { } |
|
743
|
18 |
0 |
if (exists $partitioning_point_threshold{$best_feature_name}) { } |
|
749
|
0 |
18 |
if $self->{'_debug3'} |
|
759
|
0 |
1 |
if exists $self->{'_entropy_cache'}{'priors'} |
|
764
|
2 |
0 |
if $prob >= 0.0001 and $prob <= 0.999 |
|
765
|
0 |
2 |
if $prob < 0.0001 |
|
766
|
0 |
2 |
if $prob > 0.999 |
|
767
|
1 |
1 |
unless (defined $entropy) |
|
806
|
0 |
0 |
if exists $self->{'_entropy_cache'}{$sequence} |
|
815
|
0 |
0 |
if ($prob >= 0.0001 and $prob <= 0.999) { } |
|
|
0 |
0 |
elsif ($prob < 0.0001) { } |
|
|
0 |
0 |
elsif ($prob > 0.999) { } |
|
826
|
0 |
0 |
if (abs $entropy < 1e-07) |
|
842
|
0 |
0 |
if exists $self->{'_entropy_cache'}{$sequence} |
|
851
|
0 |
0 |
if ($prob >= 0.0001 and $prob <= 0.999) { } |
|
|
0 |
0 |
elsif ($prob < 0.0001) { } |
|
|
0 |
0 |
elsif ($prob > 0.999) { } |
|
862
|
0 |
0 |
if (abs $entropy < 1e-07) |
|
874
|
40 |
82 |
if exists $self->{'_entropy_cache'}{$sequence} |
|
880
|
138 |
26 |
if ($prob >= 0.0001 and $prob <= 0.999) { } |
|
|
13 |
13 |
elsif ($prob < 0.0001) { } |
|
|
13 |
0 |
elsif ($prob > 0.999) { } |
|
891
|
13 |
69 |
if (abs $entropy < 1e-07) |
|
906
|
4 |
0 |
if exists $self->{'_probability_cache'}{$class_name_in_cache} |
|
920
|
0 |
1 |
if scalar keys %{$$self{'_class_priors_hash'};} > 1 |
|
931
|
0 |
1 |
if ($self->{'_debug1'}) |
|
943
|
0 |
4 |
if ($self->{'_debug2'}) |
|
944
|
0 |
0 |
if (exists $self->{'_prob_distribution_numeric_features_hash'}{$feature}) { } |
|
968
|
0 |
190 |
if defined $value and $value =~ /^\d+$/ |
|
969
|
0 |
186 |
if (defined $value and exists $self->{'_sampling_points_for_numeric_feature_hash'}{$feature_name}) |
|
974
|
186 |
4 |
if (defined $value) |
|
977
|
186 |
0 |
if (defined $value and exists $self->{'_probability_cache'}{$feature_and_value}) |
|
981
|
0 |
4 |
if (exists $self->{'_numeric_features_valuerange_hash'}{$feature_name}) |
|
982
|
0 |
0 |
if ($self->{'_feature_values_how_many_uniques_hash'}{$feature_name} > $self->{'_symbolic_to_numeric_cardinality_threshold'}) |
|
984
|
0 |
0 |
unless (exists $self->{'_sampling_points_for_numeric_feature_hash'}{$feature_name}) |
|
988
|
0 |
0 |
if $_ ne 'NA' and not $seen{$_}++ |
|
994
|
0 |
0 |
if ($histogram_delta < $diffrange / 500) |
|
995
|
0 |
0 |
if (defined $self->{'_number_of_histogram_bins'}) { } |
|
1011
|
0 |
4 |
if (exists $self->{'_numeric_features_valuerange_hash'}{$feature_name}) { } |
|
1012
|
0 |
0 |
if ($self->{'_feature_values_how_many_uniques_hash'}{$feature_name} > $self->{'_symbolic_to_numeric_cardinality_threshold'}) { } |
|
1021
|
0 |
0 |
if (abs $sampling_points_for_feature[$i] - $actual_values_for_feature[$j] < $histogram_delta) |
|
1039
|
0 |
0 |
if (defined $value and exists $self->{'_probability_cache'}{$feature_and_value}) { } |
|
1046
|
0 |
0 |
if $_ ne 'NA' and not $seen{$_}++ |
|
1055
|
0 |
0 |
if $values_for_feature[$i] eq $current_value |
|
1061
|
0 |
0 |
if $total_counts == 0 |
|
1067
|
0 |
0 |
if (defined $value and exists $self->{'_probability_cache'}{$feature_and_value}) { } |
|
1083
|
1526 |
18074 |
if $values_for_feature[$i] eq $current_value |
|
1091
|
0 |
4 |
if (defined $value and exists $self->{'_probability_cache'}{$feature_and_value}) { } |
|
1104
|
0 |
380 |
if defined $feature_value and $feature_value =~ /^\d+$/ |
|
1105
|
0 |
380 |
if (defined $feature_value and exists $self->{'_sampling_points_for_numeric_feature_hash'}{$feature_name}) |
|
1110
|
380 |
0 |
if (defined $feature_value) |
|
1113
|
372 |
8 |
if (defined $feature_value and exists $self->{'_probability_cache'}{$feature_value_class}) |
|
1115
|
0 |
372 |
if $self->{'_debug2'} |
|
1120
|
0 |
8 |
if (exists $self->{'_numeric_features_valuerange_hash'}{$feature_name}) |
|
1121
|
0 |
0 |
if ($self->{'_feature_values_how_many_uniques_hash'}{$feature_name} > $self->{'_symbolic_to_numeric_cardinality_threshold'}) |
|
1132
|
140 |
140 |
if ($self->{'_samples_class_label_hash'}{$sample_name} eq $class_name) |
|
1136
|
0 |
8 |
if (exists $self->{'_numeric_features_valuerange_hash'}{$feature_name}) { } |
|
1137
|
0 |
0 |
if ($self->{'_feature_values_how_many_uniques_hash'}{$feature_name} > $self->{'_symbolic_to_numeric_cardinality_threshold'}) { } |
|
1148
|
0 |
0 |
if ($feature eq $feature_name and $value ne 'NA') |
|
1155
|
0 |
0 |
if (abs $sampling_points_for_feature[$i] - $actual_feature_values_for_samples_in_class[$j] < $histogram_delta) |
|
1163
|
0 |
0 |
if $total_counts == 0 |
|
1171
|
0 |
0 |
if (exists $self->{'_probability_cache'}{$feature_value_class}) { } |
|
1179
|
0 |
0 |
if $_ ne 'NA' and not $seen{$_}++ |
|
1187
|
0 |
0 |
if $values_for_feature[$i] eq $current_value |
|
1193
|
0 |
0 |
if $total_counts == 0 |
|
1201
|
0 |
0 |
if (exists $self->{'_probability_cache'}{$feature_value_class}) { } |
|
1211
|
28 |
252 |
if $_ ne 'NA' and not $seen{$_}++ |
|
1219
|
140 |
1820 |
if $values_for_feature[$i] eq $current_value |
|
1225
|
0 |
8 |
if $total_counts == 0 |
|
1233
|
8 |
0 |
if (exists $self->{'_probability_cache'}{$feature_value_class}) { } |
|
1247
|
0 |
0 |
if exists $self->{'_probability_cache'}{$feature_threshold_combo} |
|
1248
|
0 |
0 |
if $_ ne 'NA' |
|
1249
|
0 |
0 |
if $_ <= $threshold |
|
1262
|
0 |
0 |
if exists $self->{'_probability_cache'}{$feature_threshold_class_combo} |
|
1267
|
0 |
0 |
if $self->{'_samples_class_label_hash'}{$sample_name} eq $class_name |
|
1275
|
0 |
0 |
if $feature eq $feature_name and $value ne 'NA' |
|
1279
|
0 |
0 |
if $_ <= $threshold |
|
1281
|
0 |
0 |
@actual_feature_values_for_samples_in_class > 0 ? : |
|
1292
|
0 |
233 |
if scalar @array_of_features_and_values_or_thresholds == 0 |
|
1294
|
165 |
68 |
if exists $self->{'_probability_cache'}{$sequence} |
|
1304
|
0 |
186 |
if ($item =~ /$pattern2/) { } |
|
|
0 |
186 |
elsif ($item =~ /$pattern3/) { } |
|
1320
|
0 |
0 |
if not $seen1{$_}++ |
|
1322
|
186 |
0 |
if not $seen2{$_}++ |
|
1325
|
0 |
68 |
if $self->{'_debug2'} |
|
1335
|
0 |
0 |
if ($feature_grouping->[1] eq '>') { } |
|
1343
|
0 |
0 |
if (defined $lowerbound{$feature_name} and defined $upperbound{$feature_name} and $upperbound{$feature_name} <= $lowerbound{$feature_name}) { } |
|
|
0 |
0 |
elsif (defined $lowerbound{$feature_name} and defined $upperbound{$feature_name}) { } |
|
|
0 |
0 |
elsif (defined $upperbound{$feature_name} and not defined $lowerbound{$feature_name}) { } |
|
|
0 |
0 |
elsif (defined $lowerbound{$feature_name} and not defined $upperbound{$feature_name}) { } |
|
1347
|
0 |
0 |
if (not $probability) { } |
|
1357
|
0 |
0 |
if (not $probability) { } |
|
1365
|
0 |
0 |
if (not $probability) { } |
|
1377
|
186 |
0 |
if ($feature_and_value =~ /$pattern1/) |
|
1379
|
68 |
118 |
if (not $probability) { } |
|
1397
|
0 |
164 |
if scalar @array_of_features_and_values_or_thresholds == 0 |
|
1401
|
20 |
144 |
if exists $self->{'_probability_cache'}{$sequence_with_class} |
|
1411
|
0 |
380 |
if ($item =~ /$pattern2/) { } |
|
|
0 |
380 |
elsif ($item =~ /$pattern3/) { } |
|
1427
|
0 |
0 |
if not $seen1{$_}++ |
|
1429
|
380 |
0 |
if not $seen2{$_}++ |
|
1432
|
0 |
144 |
if $self->{'_debug2'} |
|
1442
|
0 |
0 |
if ($feature_grouping->[1] eq '>') { } |
|
1450
|
0 |
0 |
if ($lowerbound{$feature_name} and $upperbound{$feature_name} and $upperbound{$feature_name} <= $lowerbound{$feature_name}) { } |
|
|
0 |
0 |
elsif (defined $lowerbound{$feature_name} and defined $upperbound{$feature_name}) { } |
|
|
0 |
0 |
elsif (defined $upperbound{$feature_name} and not defined $lowerbound{$feature_name}) { } |
|
|
0 |
0 |
elsif (defined $lowerbound{$feature_name} and not defined $upperbound{$feature_name}) { } |
|
1454
|
0 |
0 |
if (not $probability) { } |
|
1467
|
0 |
0 |
if (not $probability) { } |
|
1475
|
0 |
0 |
if (not $probability) { } |
|
1487
|
380 |
0 |
if ($feature_and_value =~ /$pattern1/) |
|
1489
|
144 |
236 |
if (not $probability) { } |
|
1508
|
162 |
82 |
if exists $self->{'_probability_cache'}{$class_and_sequence} |
|
1514
|
13 |
151 |
if ($prob < 1e-06) |
|
1524
|
151 |
0 |
if ($prob_of_feature_sequence) { } |
|
1532
|
0 |
82 |
if ($sum_probability == 0) { } |
|
1561
|
0 |
230 |
if $self->{'_debug2'} |
|
1566
|
0 |
0 |
if @$x > 0 and $x->[0] eq $feature_name |
|
1568
|
0 |
920 |
if @temp > 0 |
|
1570
|
0 |
230 |
if $self->{'_debug2'} |
|
1577
|
0 |
230 |
if $self->{'_debug2'} |
|
1583
|
0 |
0 |
if ($inner->[1] eq '<') { } |
|
1589
|
0 |
0 |
if (@temp1 > 0 and @temp2 > 0) { } |
|
|
0 |
0 |
elsif (@temp1 > 0) { } |
|
1597
|
0 |
230 |
if $self->{'_debug2'} |
|
1607
|
0 |
230 |
if $self->{'_debug2'} |
|
1612
|
0 |
0 |
if ($alist->[0][1] eq '<') { } |
|
1617
|
0 |
0 |
if ($alist->[0][1] ne $alist->[-1][1]) |
|
1623
|
0 |
230 |
if $self->{'_debug2'} |
|
1638
|
0 |
0 |
unless defined $feature and defined $value |
|
1639
|
0 |
0 |
unless contained_in($feature, @{$$self{'_feature_names'};}) |
|
1656
|
0 |
0 |
unless contained_in($feature, keys %{$$self{'_numeric_features_valuerange_hash'};}) |
|
1659
|
0 |
0 |
unless @values |
|
1670
|
0 |
0 |
if ($estimated_number_of_nodes > 10000) |
|
1682
|
0 |
0 |
unless $answer =~ /y(es)?/i |
|
1692
|
0 |
1 |
unless $self->{'_training_datafile'} =~ /\.csv$/ |
|
1702
|
0 |
36 |
if /^[ ]*\r?\n?$/ |
|
1704
|
0 |
36 |
$self->{'_csv_cleanup_needed'} ? : |
|
1705
|
1 |
35 |
if ($record_index == 0) |
|
1717
|
0 |
35 |
if $record_index % 10000 == 0 |
|
1723
|
0 |
1 |
if $self->{'_debug1'} |
|
1730
|
0 |
140 |
$data_hash{$sampleID}[$_ - 1] =~ /^\d+$/ ? : |
|
1731
|
0 |
140 |
$b =~ /^\d+$/ ? : |
|
1738
|
14 |
126 |
if $_ ne 'NA' and not $seen1{$_}++ |
|
1742
|
14 |
0 |
if not $_ =~ /^$numregex$/ |
|
1743
|
0 |
4 |
if ($not_all_values_float == 0) |
|
1749
|
0 |
1 |
if ($self->{'_debug1'}) |
|
1826
|
0 |
0 |
if $value eq $array[$i] |
|
1847
|
0 |
0 |
if (not defined $min or $arr->[$i] < $min) |
|
1860
|
0 |
0 |
if (not defined $min or $arr->[$i] < $min) |
|
1863
|
0 |
0 |
if (not defined $max or $arr->[$i] > $max) |
|
1875
|
94 |
282 |
if $ele eq $_ |
|
1883
|
15 |
121 |
if scalar @$ref_in == 0 |
|
1908
|
3 |
7 |
if ($param eq $legal) |
|
1913
|
0 |
3 |
if $found_match_flag == 0 |
|
1930
|
0 |
0 |
if (ref $item) { } |
|
1991
|
0 |
0 |
unless $self->{'_training_datafile'} =~ /\.csv$/ |
|
2040
|
0 |
0 |
if $value ne 'NA' |
|
2045
|
0 |
0 |
if $_ ne 'NA' and not $seen{$_}++ |
|
2047
|
0 |
0 |
if (Algorithm::DecisionTree::contained_in($feature, keys %{$$self{'_numeric_features_valuerange_hash'};})) { } |
|
2060
|
0 |
0 |
if ($evaldebug) |
|
2079
|
0 |
0 |
if $evaldebug |
|
2083
|
0 |
0 |
if $evaldebug |
|
2086
|
0 |
0 |
if $evaldebug |
|
2087
|
0 |
0 |
if $_ and not $_ =~ /=NA$/ |
|
2088
|
0 |
0 |
if $evaldebug |
|
2095
|
0 |
0 |
if ($evaldebug) |
|
2108
|
0 |
0 |
if $evaldebug |
|
2130
|
0 |
0 |
if ($row_class_name eq $col_class_name) { } |
|
2139
|
0 |
0 |
if ($data_quality_index <= 80) { } |
|
|
0 |
0 |
elsif ($data_quality_index > 80 and $data_quality_index <= 90) { } |
|
|
0 |
0 |
elsif ($data_quality_index > 90 and $data_quality_index <= 95) { } |
|
|
0 |
0 |
elsif ($data_quality_index > 95 and $data_quality_index <= 98) { } |
|
2176
|
25 |
1 |
unless defined $root_or_not |
|
2177
|
1 |
25 |
if ($root_or_not eq 'root') |
|
2289
|
0 |
0 |
if (@{$self->get_children;} > 0) { } |
|
2341
|
0 |
0 |
if check_for_illegal_params3(@params) == 0 |
|
2377
|
0 |
0 |
if ($param eq $legal) |
|
2382
|
0 |
0 |
if $found_match_flag == 0 |
|
2411
|
0 |
0 |
if ($self->{'_debug'}) |
|
2427
|
0 |
0 |
if ($self->{'_debug'}) |
|
2452
|
0 |
0 |
if ($self->{'_debug'}) |
|
2458
|
0 |
0 |
if ($x eq 'mean') { } |
|
2461
|
0 |
0 |
if ($x eq 'covariance') |
|
2502
|
0 |
0 |
if ($self->{'_debug'}) |
|
2533
|
0 |
0 |
if ($self->{'_debug'}) |
|
2590
|
0 |
1 |
if check_for_illegal_params4(@params) == 0 |
|
2620
|
3 |
3 |
if ($param eq $legal) |
|
2625
|
0 |
3 |
if $found_match_flag == 0 |
|
2639
|
0 |
1 |
unless defined $input_parameter_file |
|
2651
|
3 |
0 |
if defined $_ |
|
2653
|
3 |
0 |
if defined $_ |
|
2658
|
9 |
0 |
if defined $_ |
|
2660
|
4 |
4 |
if $item =~ /feature/ |
|
2662
|
27 |
0 |
if defined $_ |
|
2664
|
4 |
18 |
if ($i == 0) { } |
|
2667
|
4 |
14 |
if $splits[$i] =~ /values/ |
|
2675
|
5 |
0 |
if defined $_ |
|
2677
|
2 |
2 |
if $item =~ /bias/ |
|
2679
|
18 |
0 |
if defined $_ |
|
2682
|
2 |
14 |
if ($i == 0) { } |
|
|
8 |
6 |
elsif ($splits[$i] =~ /(^.+)[:]$/) { } |
|
2688
|
0 |
6 |
unless defined $feature_name |
|
2689
|
6 |
0 |
if defined $feature_name |
|
2695
|
0 |
1 |
if ($debug) |
|
2732
|
0 |
1 |
if ($self->{'_debug'}) |
|
2748
|
35 |
11 |
if ($roll_the_dice >= $v->[0] and $roll_the_dice <= $v->[1]) |
|
2759
|
35 |
105 |
unless defined $bias_string |
|
2766
|
280 |
0 |
if defined $_ |
|
2769
|
140 |
350 |
if ($values[$i] eq $chosen_for_bias_value) { } |
|
2783
|
140 |
172 |
if ($roll_the_dice >= $v->[0] and $roll_the_dice <= $v->[1]) |
|
2791
|
0 |
140 |
if ($self->{'_debug'}) |
|
2804
|
0 |
1 |
if ($self->{'_debug'}) |
|
2811
|
0 |
1 |
if $self->{'_debug'} |
|
2891
|
0 |
0 |
unless ref $dt eq 'Algorithm::DecisionTree' |
|
2908
|
0 |
0 |
unless $self->{'_root_dtnode'} |
|
2917
|
0 |
0 |
if $self->{'_debug'} |
|
2923
|
0 |
0 |
if (not @samples_at_node) { } |
|
2928
|
0 |
0 |
if Algorithm::DecisionTree::contained_in($sample, @$samples_for_feature_value_combo) |
|
2932
|
0 |
0 |
unless @samples_at_node |
|
2935
|
0 |
0 |
if $self->{'_debug'} |
|
2937
|
0 |
0 |
if (@samples_at_node) |
|
2939
|
0 |
0 |
if (not exists $self->{'_sample_to_node_mapping_direct_hash'}{$sample}) { } |
|
2955
|
0 |
0 |
unless $self->{'_root_dtnode'} |
|
2964
|
0 |
0 |
if (exists $self->{'_samples_at_nodes_hash'}{$node_serial_number}) |
|
2965
|
0 |
0 |
if $self->{'_debug'} |
|
2974
|
0 |
0 |
if (exists $self->{'_sample_to_node_mapping_direct_hash'}{$sample}) |
|
2992
|
0 |
0 |
if (@children_affected) |
|
3003
|
0 |
0 |
if ($op eq '=') { } |
|
|
0 |
0 |
elsif ($op eq '<') { } |
|
|
0 |
0 |
elsif ($op eq '>') { } |
|
3010
|
0 |
0 |
if ($val_data ne 'NA' and $feature eq $feature_data and $val_data <= $value) |
|
3021
|
0 |
0 |
if ($val_data ne 'NA' and $feature eq $feature_data and $val_data > $value) |
|
3040
|
0 |
0 |
if ($feature_value_combo =~ /$pattern2/) { } |
|
|
0 |
0 |
elsif ($feature_value_combo =~ /$pattern3/) { } |
|
|
0 |
0 |
elsif ($feature_value_combo =~ /$pattern1/) { } |
|
3054
|
0 |
0 |
unless $self->{'_samples_at_nodes_hash'} |
|
3062
|
0 |
0 |
unless $ans =~ /^ye?s?$/ |
|
3071
|
0 |
0 |
if $ans =~ /^exit$/ |
|
3072
|
0 |
0 |
if Algorithm::DecisionTree::contained_in($ans, keys %{$$self{'_samples_at_nodes_hash'};}) |
|
3084
|
0 |
0 |
unless $self->{'_samples_at_nodes_hash'} |
|
3085
|
0 |
0 |
unless (exists $self->{'_samples_at_nodes_hash'}{$node_id}) |
|
3089
|
0 |
0 |
unless ($self->{'_awareness_raising_msg_shown'}) |
|
3097
|
0 |
0 |
unless $ans =~ /^ye?s?$/ |
|
3105
|
0 |
0 |
@samples_at_node == 0 ? : |
|
3114
|
0 |
0 |
if ($ans =~ /^ye?s?$/) |
|
3124
|
0 |
0 |
if ($ans =~ /^ye?s?$/) { } |