| 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'} ? : |
|
82
|
0 |
0 |
unless $self->check_names_used(\@features_and_values) |
|
92
|
0 |
0 |
if not $_ =~ /^$numregex$/ |
|
93
|
0 |
0 |
if (not contained_in($feature, keys %{$$self{'_prob_distribution_numeric_features_hash'};}) and $not_all_values_float == 0) |
|
100
|
0 |
0 |
if $self->{'_debug3'} |
|
109
|
0 |
0 |
if ($self->{'_debug3'}) |
|
117
|
0 |
0 |
if ($item ne 'solution_path') { } |
|
138
|
0 |
0 |
if (@children == 0) |
|
148
|
0 |
0 |
if $self->{'_debug3'} |
|
154
|
0 |
0 |
if $feature_tested_at_node eq $1 |
|
157
|
0 |
0 |
unless (defined $value_for_feature) |
|
165
|
0 |
0 |
if ($value_for_feature) |
|
166
|
0 |
0 |
if (contained_in($feature_tested_at_node, keys %{$$self{'_prob_distribution_numeric_features_hash'};})) { } |
|
167
|
0 |
0 |
if $self->{'_debug3'} |
|
173
|
0 |
0 |
if ($last_feature_and_value_on_branch =~ /$pattern1/) |
|
175
|
0 |
0 |
if ($value_for_feature <= $threshold) |
|
183
|
0 |
0 |
if ($last_feature_and_value_on_branch =~ /$pattern2/) |
|
185
|
0 |
0 |
if ($value_for_feature > $threshold) |
|
194
|
0 |
0 |
if $path_found |
|
198
|
0 |
0 |
if $self->{'_debug3'} |
|
201
|
0 |
0 |
if $self->{'_debug3'} |
|
203
|
0 |
0 |
if ($last_feature_and_value_on_branch eq $feature_value_combo) |
|
211
|
0 |
0 |
if $path_found |
|
214
|
0 |
0 |
unless ($path_found) |
|
245
|
0 |
0 |
if ($item ne 'solution_path') { } |
|
269
|
0 |
0 |
if (@children == 0) |
|
286
|
0 |
0 |
if (contained_in($feature_tested_at_node, keys %{$$self{'_prob_distribution_numeric_features_hash'};})) { } |
|
287
|
0 |
0 |
if ($scratchpad_for_numerics{$feature_tested_at_node}) { } |
|
298
|
0 |
0 |
if ($user_value_for_feature >= $valuerange[0] and $user_value_for_feature <= $valuerange[1]) |
|
302
|
0 |
0 |
if $answer_found |
|
309
|
0 |
0 |
if ($branch_attribute =~ /$pattern1/) |
|
311
|
0 |
0 |
if ($user_value_for_feature <= $threshold) |
|
319
|
0 |
0 |
if ($branch_attribute =~ /$pattern2/) |
|
321
|
0 |
0 |
if ($user_value_for_feature > $threshold) |
|
330
|
0 |
0 |
if $path_found |
|
340
|
0 |
0 |
if (contained_in($user_value_for_feature, @possible_values_for_feature)) |
|
344
|
0 |
0 |
if $answer_found |
|
350
|
0 |
0 |
if ($branch_attribute eq $feature_value_combo) |
|
358
|
0 |
0 |
if $path_found |
|
360
|
0 |
0 |
unless ($path_found) |
|
379
|
0 |
1 |
if ($self->{'_debug3'}) |
|
384
|
0 |
1 |
if ($self->{'_debug3'}) |
|
389
|
0 |
1 |
if $self->{'_debug3'} |
|
405
|
0 |
30 |
if $self->{'_debug3'} |
|
409
|
0 |
30 |
if ($self->{'_debug3'}) |
|
416
|
1 |
29 |
if ($existing_node_entropy < $self->{'_entropy_threshold'}) |
|
417
|
0 |
1 |
if $self->{'_debug3'} |
|
424
|
0 |
29 |
if $self->{'_debug3'} |
|
425
|
0 |
29 |
if (defined $self->{'_max_depth_desired'} and @features_and_values_or_thresholds_on_branch >= $self->{'_max_depth_desired'}) |
|
427
|
0 |
0 |
if $self->{'_debug3'} |
|
430
|
0 |
29 |
unless defined $best_feature |
|
431
|
0 |
29 |
if ($self->{'_debug3'}) |
|
438
|
0 |
29 |
if $self->{'_debug3'} |
|
439
|
19 |
10 |
if ($entropy_gain > $self->{'_entropy_threshold'}) { } |
|
440
|
0 |
19 |
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'}) { } |
|
455
|
0 |
0 |
if ($self->{'_debug3'}) |
|
467
|
0 |
0 |
if ($self->{'_debug3'}) |
|
471
|
0 |
0 |
if ($best_entropy_for_less < $existing_node_entropy - $self->{'_entropy_threshold'}) |
|
478
|
0 |
0 |
if ($best_entropy_for_greater < $existing_node_entropy - $self->{'_entropy_threshold'}) |
|
487
|
0 |
19 |
if $self->{'_debug3'} |
|
489
|
0 |
19 |
if $self->{'_debug3'} |
|
494
|
0 |
61 |
if $self->{'_debug3'} |
|
496
|
4 |
57 |
if (not @features_and_values_or_thresholds_on_branch) { } |
|
511
|
0 |
61 |
if ($self->{'_debug3'}) |
|
515
|
29 |
32 |
if ($existing_node_entropy - $class_entropy_for_child > $self->{'_entropy_threshold'}) { } |
|
521
|
0 |
32 |
if $self->{'_debug3'} |
|
527
|
0 |
10 |
if $self->{'_debug3'} |
|
553
|
116 |
0 |
unless exists $self->{'_prob_distribution_numeric_features_hash'}{$feature_name} |
|
557
|
81 |
0 |
if $feature_and_value_or_threshold =~ /$pattern1/ |
|
561
|
35 |
81 |
unless contained_in($x, @symbolic_features_already_used) |
|
568
|
0 |
81 |
if ($item =~ /$pattern2/) { } |
|
|
0 |
81 |
elsif ($item =~ /$pattern3/) { } |
|
|
81 |
0 |
elsif ($item =~ /$pattern1/) { } |
|
582
|
0 |
0 |
if not $seen{$_}++ |
|
584
|
81 |
0 |
if not $seen{$_}++ |
|
596
|
0 |
0 |
if ($feature_grouping->[1] eq '>') { } |
|
615
|
0 |
116 |
if $self->{'_debug3'} |
|
616
|
81 |
35 |
if (contained_in($feature_name, @symbolic_features_already_used)) { } |
|
|
0 |
35 |
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'}) { } |
|
622
|
0 |
0 |
if $self->{'_debug3'} |
|
624
|
0 |
0 |
if (contained_in($feature_name, @true_numeric_types_feature_names)) { } |
|
625
|
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}) { } |
|
631
|
0 |
0 |
if $x > $lowerbound{$feature_name} and $x <= $upperbound{$feature_name} |
|
635
|
0 |
0 |
if $x <= $upperbound{$feature_name} |
|
639
|
0 |
0 |
if $x > $lowerbound{$feature_name} |
|
647
|
0 |
0 |
if @newvalues == 0 |
|
654
|
0 |
0 |
if (@features_and_values_or_thresholds_on_branch) { } |
|
676
|
0 |
0 |
if ($min_entropy < $existing_node_entropy) |
|
681
|
0 |
35 |
if $self->{'_debug3'} |
|
682
|
0 |
35 |
if $self->{'_debug3'} |
|
684
|
110 |
0 |
if $_ ne 'NA' |
|
687
|
0 |
35 |
if $self->{'_debug3'} |
|
692
|
0 |
110 |
if $self->{'_debug3'} |
|
694
|
96 |
14 |
if (@features_and_values_or_thresholds_on_branch) { } |
|
703
|
0 |
110 |
if $self->{'_debug3'} |
|
706
|
35 |
0 |
if ($entropy < $existing_node_entropy) |
|
714
|
29 |
87 |
if (not defined $best_feature_name) { } |
|
718
|
30 |
57 |
if ($entropy_values_for_different_features{$feature_nom} < $min_entropy_for_best_feature) |
|
725
|
29 |
0 |
if (exists $partitioning_point_threshold{$best_feature_name}) { } |
|
733
|
0 |
29 |
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'}) { } |
|
741
|
29 |
0 |
if (exists $partitioning_point_threshold{$best_feature_name}) { } |
|
747
|
0 |
29 |
if $self->{'_debug3'} |
|
757
|
0 |
1 |
if exists $self->{'_entropy_cache'}{'priors'} |
|
762
|
2 |
0 |
if $prob >= 0.0001 and $prob <= 0.999 |
|
763
|
0 |
2 |
if $prob < 0.0001 |
|
764
|
0 |
2 |
if $prob > 0.999 |
|
765
|
1 |
1 |
unless (defined $entropy) |
|
804
|
0 |
0 |
if exists $self->{'_entropy_cache'}{$sequence} |
|
813
|
0 |
0 |
if ($prob >= 0.0001 and $prob <= 0.999) { } |
|
|
0 |
0 |
elsif ($prob < 0.0001) { } |
|
|
0 |
0 |
elsif ($prob > 0.999) { } |
|
824
|
0 |
0 |
if (abs $entropy < 1e-07) |
|
840
|
0 |
0 |
if exists $self->{'_entropy_cache'}{$sequence} |
|
849
|
0 |
0 |
if ($prob >= 0.0001 and $prob <= 0.999) { } |
|
|
0 |
0 |
elsif ($prob < 0.0001) { } |
|
|
0 |
0 |
elsif ($prob > 0.999) { } |
|
860
|
0 |
0 |
if (abs $entropy < 1e-07) |
|
872
|
61 |
110 |
if exists $self->{'_entropy_cache'}{$sequence} |
|
878
|
218 |
2 |
if ($prob >= 0.0001 and $prob <= 0.999) { } |
|
|
1 |
1 |
elsif ($prob < 0.0001) { } |
|
|
1 |
0 |
elsif ($prob > 0.999) { } |
|
889
|
1 |
109 |
if (abs $entropy < 1e-07) |
|
904
|
4 |
0 |
if exists $self->{'_probability_cache'}{$class_name_in_cache} |
|
918
|
0 |
1 |
if scalar keys %{$$self{'_class_priors_hash'};} > 1 |
|
929
|
0 |
1 |
if ($self->{'_debug1'}) |
|
941
|
0 |
4 |
if ($self->{'_debug2'}) |
|
942
|
0 |
0 |
if (exists $self->{'_prob_distribution_numeric_features_hash'}{$feature}) { } |
|
966
|
0 |
286 |
if defined $value and $value =~ /^\d+$/ |
|
967
|
0 |
282 |
if (defined $value and exists $self->{'_sampling_points_for_numeric_feature_hash'}{$feature_name}) |
|
972
|
282 |
4 |
if (defined $value) |
|
975
|
282 |
0 |
if (defined $value and exists $self->{'_probability_cache'}{$feature_and_value}) |
|
979
|
0 |
4 |
if (exists $self->{'_numeric_features_valuerange_hash'}{$feature_name}) |
|
980
|
0 |
0 |
if ($self->{'_feature_values_how_many_uniques_hash'}{$feature_name} > $self->{'_symbolic_to_numeric_cardinality_threshold'}) |
|
982
|
0 |
0 |
unless (exists $self->{'_sampling_points_for_numeric_feature_hash'}{$feature_name}) |
|
986
|
0 |
0 |
if $_ ne 'NA' and not $seen{$_}++ |
|
992
|
0 |
0 |
if ($histogram_delta < $diffrange / 500) |
|
993
|
0 |
0 |
if (defined $self->{'_number_of_histogram_bins'}) { } |
|
1009
|
0 |
4 |
if (exists $self->{'_numeric_features_valuerange_hash'}{$feature_name}) { } |
|
1010
|
0 |
0 |
if ($self->{'_feature_values_how_many_uniques_hash'}{$feature_name} > $self->{'_symbolic_to_numeric_cardinality_threshold'}) { } |
|
1019
|
0 |
0 |
if (abs $sampling_points_for_feature[$i] - $actual_values_for_feature[$j] < $histogram_delta) |
|
1037
|
0 |
0 |
if (defined $value and exists $self->{'_probability_cache'}{$feature_and_value}) { } |
|
1044
|
0 |
0 |
if $_ ne 'NA' and not $seen{$_}++ |
|
1053
|
0 |
0 |
if $values_for_feature[$i] eq $current_value |
|
1059
|
0 |
0 |
if $total_counts == 0 |
|
1065
|
0 |
0 |
if (defined $value and exists $self->{'_probability_cache'}{$feature_and_value}) { } |
|
1081
|
1652 |
17948 |
if $values_for_feature[$i] eq $current_value |
|
1089
|
0 |
4 |
if (defined $value and exists $self->{'_probability_cache'}{$feature_and_value}) { } |
|
1102
|
0 |
572 |
if defined $feature_value and $feature_value =~ /^\d+$/ |
|
1103
|
0 |
572 |
if (defined $feature_value and exists $self->{'_sampling_points_for_numeric_feature_hash'}{$feature_name}) |
|
1108
|
572 |
0 |
if (defined $feature_value) |
|
1111
|
564 |
8 |
if (defined $feature_value and exists $self->{'_probability_cache'}{$feature_value_class}) |
|
1113
|
0 |
564 |
if $self->{'_debug2'} |
|
1118
|
0 |
8 |
if (exists $self->{'_numeric_features_valuerange_hash'}{$feature_name}) |
|
1119
|
0 |
0 |
if ($self->{'_feature_values_how_many_uniques_hash'}{$feature_name} > $self->{'_symbolic_to_numeric_cardinality_threshold'}) |
|
1130
|
140 |
140 |
if ($self->{'_samples_class_label_hash'}{$sample_name} eq $class_name) |
|
1134
|
0 |
8 |
if (exists $self->{'_numeric_features_valuerange_hash'}{$feature_name}) { } |
|
1135
|
0 |
0 |
if ($self->{'_feature_values_how_many_uniques_hash'}{$feature_name} > $self->{'_symbolic_to_numeric_cardinality_threshold'}) { } |
|
1146
|
0 |
0 |
if ($feature eq $feature_name and $value ne 'NA') |
|
1153
|
0 |
0 |
if (abs $sampling_points_for_feature[$i] - $actual_feature_values_for_samples_in_class[$j] < $histogram_delta) |
|
1161
|
0 |
0 |
if $total_counts == 0 |
|
1169
|
0 |
0 |
if (exists $self->{'_probability_cache'}{$feature_value_class}) { } |
|
1177
|
0 |
0 |
if $_ ne 'NA' and not $seen{$_}++ |
|
1185
|
0 |
0 |
if $values_for_feature[$i] eq $current_value |
|
1191
|
0 |
0 |
if $total_counts == 0 |
|
1199
|
0 |
0 |
if (exists $self->{'_probability_cache'}{$feature_value_class}) { } |
|
1209
|
28 |
252 |
if $_ ne 'NA' and not $seen{$_}++ |
|
1217
|
140 |
1820 |
if $values_for_feature[$i] eq $current_value |
|
1223
|
0 |
8 |
if $total_counts == 0 |
|
1231
|
8 |
0 |
if (exists $self->{'_probability_cache'}{$feature_value_class}) { } |
|
1245
|
0 |
0 |
if exists $self->{'_probability_cache'}{$feature_threshold_combo} |
|
1246
|
0 |
0 |
if $_ ne 'NA' |
|
1247
|
0 |
0 |
if $_ <= $threshold |
|
1260
|
0 |
0 |
if exists $self->{'_probability_cache'}{$feature_threshold_class_combo} |
|
1265
|
0 |
0 |
if $self->{'_samples_class_label_hash'}{$sample_name} eq $class_name |
|
1273
|
0 |
0 |
if $feature eq $feature_name and $value ne 'NA' |
|
1277
|
0 |
0 |
if $_ <= $threshold |
|
1279
|
0 |
0 |
@actual_feature_values_for_samples_in_class > 0 ? : |
|
1290
|
0 |
329 |
if scalar @array_of_features_and_values_or_thresholds == 0 |
|
1292
|
233 |
96 |
if exists $self->{'_probability_cache'}{$sequence} |
|
1302
|
0 |
282 |
if ($item =~ /$pattern2/) { } |
|
|
0 |
282 |
elsif ($item =~ /$pattern3/) { } |
|
1318
|
0 |
0 |
if not $seen1{$_}++ |
|
1320
|
282 |
0 |
if not $seen2{$_}++ |
|
1323
|
0 |
96 |
if $self->{'_debug2'} |
|
1333
|
0 |
0 |
if ($feature_grouping->[1] eq '>') { } |
|
1341
|
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}) { } |
|
1345
|
0 |
0 |
if (not $probability) { } |
|
1355
|
0 |
0 |
if (not $probability) { } |
|
1363
|
0 |
0 |
if (not $probability) { } |
|
1375
|
282 |
0 |
if ($feature_and_value =~ /$pattern1/) |
|
1377
|
96 |
186 |
if (not $probability) { } |
|
1395
|
0 |
220 |
if scalar @array_of_features_and_values_or_thresholds == 0 |
|
1399
|
20 |
200 |
if exists $self->{'_probability_cache'}{$sequence_with_class} |
|
1409
|
0 |
572 |
if ($item =~ /$pattern2/) { } |
|
|
0 |
572 |
elsif ($item =~ /$pattern3/) { } |
|
1425
|
0 |
0 |
if not $seen1{$_}++ |
|
1427
|
572 |
0 |
if not $seen2{$_}++ |
|
1430
|
0 |
200 |
if $self->{'_debug2'} |
|
1440
|
0 |
0 |
if ($feature_grouping->[1] eq '>') { } |
|
1448
|
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}) { } |
|
1452
|
0 |
0 |
if (not $probability) { } |
|
1465
|
0 |
0 |
if (not $probability) { } |
|
1473
|
0 |
0 |
if (not $probability) { } |
|
1485
|
572 |
0 |
if ($feature_and_value =~ /$pattern1/) |
|
1487
|
200 |
372 |
if (not $probability) { } |
|
1506
|
232 |
110 |
if exists $self->{'_probability_cache'}{$class_and_sequence} |
|
1512
|
1 |
219 |
if ($prob < 1e-06) |
|
1522
|
219 |
0 |
if ($prob_of_feature_sequence) { } |
|
1530
|
0 |
110 |
if ($sum_probability == 0) { } |
|
1559
|
0 |
325 |
if $self->{'_debug2'} |
|
1564
|
0 |
0 |
if @$x > 0 and $x->[0] eq $feature_name |
|
1566
|
0 |
1300 |
if @temp > 0 |
|
1568
|
0 |
325 |
if $self->{'_debug2'} |
|
1575
|
0 |
325 |
if $self->{'_debug2'} |
|
1581
|
0 |
0 |
if ($inner->[1] eq '<') { } |
|
1587
|
0 |
0 |
if (@temp1 > 0 and @temp2 > 0) { } |
|
|
0 |
0 |
elsif (@temp1 > 0) { } |
|
1595
|
0 |
325 |
if $self->{'_debug2'} |
|
1605
|
0 |
325 |
if $self->{'_debug2'} |
|
1610
|
0 |
0 |
if ($alist->[0][1] eq '<') { } |
|
1615
|
0 |
0 |
if ($alist->[0][1] ne $alist->[-1][1]) |
|
1621
|
0 |
325 |
if $self->{'_debug2'} |
|
1636
|
0 |
0 |
unless defined $feature and defined $value |
|
1637
|
0 |
0 |
unless contained_in($feature, @{$$self{'_feature_names'};}) |
|
1654
|
0 |
0 |
unless contained_in($feature, keys %{$$self{'_numeric_features_valuerange_hash'};}) |
|
1657
|
0 |
0 |
unless @values |
|
1668
|
0 |
0 |
if ($estimated_number_of_nodes > 10000) |
|
1680
|
0 |
0 |
unless $answer =~ /y(es)?/i |
|
1690
|
0 |
1 |
unless $self->{'_training_datafile'} =~ /\.csv$/ |
|
1700
|
0 |
36 |
if /^[ ]*\r?\n?$/ |
|
1703
|
1 |
35 |
if ($record_index == 0) |
|
1715
|
0 |
35 |
if $record_index % 10000 == 0 |
|
1721
|
0 |
1 |
if $self->{'_debug1'} |
|
1728
|
0 |
140 |
$data_hash{$sampleID}[$_ - 1] =~ /^\d+$/ ? : |
|
1729
|
0 |
140 |
$b =~ /^\d+$/ ? : |
|
1736
|
14 |
126 |
if $_ ne 'NA' and not $seen1{$_}++ |
|
1740
|
14 |
0 |
if not $_ =~ /^$numregex$/ |
|
1741
|
0 |
4 |
if ($not_all_values_float == 0) |
|
1747
|
0 |
1 |
if ($self->{'_debug1'}) |
|
1824
|
0 |
0 |
if $value eq $array[$i] |
|
1845
|
0 |
0 |
if (not defined $min or $arr->[$i] < $min) |
|
1858
|
0 |
0 |
if (not defined $min or $arr->[$i] < $min) |
|
1861
|
0 |
0 |
if (not defined $max or $arr->[$i] > $max) |
|
1873
|
162 |
486 |
if $ele eq $_ |
|
1881
|
15 |
181 |
if scalar @$ref_in == 0 |
|
1905
|
3 |
7 |
if ($param eq $legal) |
|
1910
|
0 |
3 |
if $found_match_flag == 0 |
|
1927
|
0 |
0 |
if (ref $item) { } |
|
1959
|
0 |
0 |
unless $item =~ /,\s+$/ |
|
1996
|
0 |
0 |
unless $self->{'_training_datafile'} =~ /\.csv$/ |
|
2045
|
0 |
0 |
if $value ne 'NA' |
|
2050
|
0 |
0 |
if $_ ne 'NA' and not $seen{$_}++ |
|
2052
|
0 |
0 |
if (Algorithm::DecisionTree::contained_in($feature, keys %{$$self{'_numeric_features_valuerange_hash'};})) { } |
|
2065
|
0 |
0 |
if ($evaldebug) |
|
2084
|
0 |
0 |
if $evaldebug |
|
2088
|
0 |
0 |
if $evaldebug |
|
2091
|
0 |
0 |
if $evaldebug |
|
2092
|
0 |
0 |
if $_ and not $_ =~ /=NA$/ |
|
2093
|
0 |
0 |
if $evaldebug |
|
2100
|
0 |
0 |
if ($evaldebug) |
|
2113
|
0 |
0 |
if $evaldebug |
|
2135
|
0 |
0 |
if ($row_class_name eq $col_class_name) { } |
|
2144
|
0 |
0 |
if ($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) { } |
|
2181
|
29 |
1 |
unless defined $root_or_not |
|
2182
|
1 |
29 |
if ($root_or_not eq 'root') |
|
2294
|
0 |
0 |
if (@{$self->get_children;} > 0) { } |
|
2346
|
0 |
0 |
if check_for_illegal_params3(@params) == 0 |
|
2382
|
0 |
0 |
if ($param eq $legal) |
|
2387
|
0 |
0 |
if $found_match_flag == 0 |
|
2416
|
0 |
0 |
if ($self->{'_debug'}) |
|
2432
|
0 |
0 |
if ($self->{'_debug'}) |
|
2457
|
0 |
0 |
if ($self->{'_debug'}) |
|
2463
|
0 |
0 |
if ($x eq 'mean') { } |
|
2466
|
0 |
0 |
if ($x eq 'covariance') |
|
2507
|
0 |
0 |
if ($self->{'_debug'}) |
|
2538
|
0 |
0 |
if ($self->{'_debug'}) |
|
2595
|
0 |
1 |
if check_for_illegal_params4(@params) == 0 |
|
2625
|
3 |
3 |
if ($param eq $legal) |
|
2630
|
0 |
3 |
if $found_match_flag == 0 |
|
2644
|
0 |
1 |
unless defined $input_parameter_file |
|
2656
|
3 |
0 |
if defined $_ |
|
2658
|
3 |
0 |
if defined $_ |
|
2663
|
9 |
0 |
if defined $_ |
|
2665
|
4 |
4 |
if $item =~ /feature/ |
|
2667
|
27 |
0 |
if defined $_ |
|
2669
|
4 |
18 |
if ($i == 0) { } |
|
2672
|
4 |
14 |
if $splits[$i] =~ /values/ |
|
2680
|
5 |
0 |
if defined $_ |
|
2682
|
2 |
2 |
if $item =~ /bias/ |
|
2684
|
18 |
0 |
if defined $_ |
|
2687
|
2 |
14 |
if ($i == 0) { } |
|
|
8 |
6 |
elsif ($splits[$i] =~ /(^.+)[:]$/) { } |
|
2693
|
0 |
6 |
unless defined $feature_name |
|
2694
|
6 |
0 |
if defined $feature_name |
|
2700
|
0 |
1 |
if ($debug) |
|
2737
|
0 |
1 |
if ($self->{'_debug'}) |
|
2753
|
35 |
14 |
if ($roll_the_dice >= $v->[0] and $roll_the_dice <= $v->[1]) |
|
2764
|
35 |
105 |
unless defined $bias_string |
|
2771
|
280 |
0 |
if defined $_ |
|
2774
|
140 |
350 |
if ($values[$i] eq $chosen_for_bias_value) { } |
|
2788
|
140 |
159 |
if ($roll_the_dice >= $v->[0] and $roll_the_dice <= $v->[1]) |
|
2796
|
0 |
140 |
if ($self->{'_debug'}) |
|
2809
|
0 |
1 |
if ($self->{'_debug'}) |
|
2816
|
0 |
1 |
if $self->{'_debug'} |
|
2896
|
0 |
0 |
unless ref $dt eq 'Algorithm::DecisionTree' |
|
2913
|
0 |
0 |
unless $self->{'_root_dtnode'} |
|
2922
|
0 |
0 |
if $self->{'_debug'} |
|
2928
|
0 |
0 |
if (not @samples_at_node) { } |
|
2933
|
0 |
0 |
if Algorithm::DecisionTree::contained_in($sample, @$samples_for_feature_value_combo) |
|
2937
|
0 |
0 |
unless @samples_at_node |
|
2940
|
0 |
0 |
if $self->{'_debug'} |
|
2942
|
0 |
0 |
if (@samples_at_node) |
|
2944
|
0 |
0 |
if (not exists $self->{'_sample_to_node_mapping_direct_hash'}{$sample}) { } |
|
2960
|
0 |
0 |
unless $self->{'_root_dtnode'} |
|
2969
|
0 |
0 |
if (exists $self->{'_samples_at_nodes_hash'}{$node_serial_number}) |
|
2970
|
0 |
0 |
if $self->{'_debug'} |
|
2979
|
0 |
0 |
if (exists $self->{'_sample_to_node_mapping_direct_hash'}{$sample}) |
|
2997
|
0 |
0 |
if (@children_affected) |
|
3008
|
0 |
0 |
if ($op eq '=') { } |
|
|
0 |
0 |
elsif ($op eq '<') { } |
|
|
0 |
0 |
elsif ($op eq '>') { } |
|
3015
|
0 |
0 |
if ($val_data ne 'NA' and $feature eq $feature_data and $val_data <= $value) |
|
3026
|
0 |
0 |
if ($val_data ne 'NA' and $feature eq $feature_data and $val_data > $value) |
|
3045
|
0 |
0 |
if ($feature_value_combo =~ /$pattern2/) { } |
|
|
0 |
0 |
elsif ($feature_value_combo =~ /$pattern3/) { } |
|
|
0 |
0 |
elsif ($feature_value_combo =~ /$pattern1/) { } |
|
3059
|
0 |
0 |
unless $self->{'_samples_at_nodes_hash'} |
|
3067
|
0 |
0 |
unless $ans =~ /^ye?s?$/ |
|
3076
|
0 |
0 |
if $ans =~ /^exit$/ |
|
3077
|
0 |
0 |
if Algorithm::DecisionTree::contained_in($ans, keys %{$$self{'_samples_at_nodes_hash'};}) |
|
3089
|
0 |
0 |
unless $self->{'_samples_at_nodes_hash'} |
|
3090
|
0 |
0 |
unless (exists $self->{'_samples_at_nodes_hash'}{$node_id}) |
|
3094
|
0 |
0 |
unless ($self->{'_awareness_raising_msg_shown'}) |
|
3102
|
0 |
0 |
unless $ans =~ /^ye?s?$/ |
|
3110
|
0 |
0 |
@samples_at_node == 0 ? : |
|
3119
|
0 |
0 |
if ($ans =~ /^ye?s?$/) |
|
3129
|
0 |
0 |
if ($ans =~ /^ye?s?$/) { } |