NLU Workbench properties
- UpdatedAug 3, 2023
- 3 minutes to read
- Vancouver
- AI Experiences
Refer to these system properties for the Natural Language Understanding (NLU) application.
NLU Workbench properties and their usage
To access your system properties, use the admin or nlu_admin role and the following path in the application navigator: All > NLU Workbench > Settings.
| Label and Name | Default value | Plugin | Recommended usage |
|---|---|---|---|
| Maximum number of utterances per
intent glide.nlu.utterances_per_intent.value_limit |
200 | NLU Workbench | Use fewer than 200 utterances per intent to keep your model
well balanced in terms of intent size. Note: Value must be
greater than 5 and less than or equal to 300. |
| Maximum number of records in a Table vocabulary
source glide.platform_ml.api.max_nlu_lookupsource_records |
100,000 | NLU Workbench | Keep the value under 100,000. |
| Maximum number of values in a List vocabulary
source glide.nlu.static_lookup.value_limit |
1,000 | NLU Workbench | Keep the value under 1,000. |
| Enable pre-built vocabulary for software
names glide.mlpredictor.option.nlu.@LookupSources:software |
enabled | NLU Workbench | Enable pre-built vocabulary so the system can recognize software names. |
| Enable pre-built vocabulary for hardware
names glide.mlpredictor.option.nlu.@LookupSources:hardware |
enabled | NLU Workbench | Enable pre-built vocabulary so the system can recognize hardware names. |
| Label and Name | Default value | Plugin | Recommended usage |
|---|---|---|---|
| Maximum number of records for Intent Discovery
classification sn_nlu_discovery.intent_discovery_max_classification_limit |
300,000 | Intent Discovery | Keep the number of records less than 500,000. |
| Minimum number of records for Intent Discovery
classification sn_nlu_discovery.intent_discovery_min_classification_limit |
10,000 | Intent Discovery | Use at least 10,000 records to get high quality results. |
| Minimum number of records for NLU performance
analysis sn_nlu_workbench.glide.nlu.performance.min_clustering_records |
5,000 | NLU Workbench - Advanced Features | Use at least 5,000 records to get high quality results. |
| NLU Conflict Detection - Moderate
Threshold sn_nlu_workbench.glide.nlu.conflict.moderate_threshold |
.85 | NLU Workbench - Advanced Features | Must be a decimal between 0 and 1. Keep this threshold less than the Critical Threshold. |
| NLU Conflict Detection - Critical
Threshold sn_nlu_workbench.glide.nlu.conflict.critical_threshold |
.95 | NLU Workbench - Advanced Features | Must be a decimal between 0 and 1. Keep this threshold greater than the Moderate Threshold. |
| The maximum number of rows in a batch test import
file sn_nlu_workbench.glide.nlu.batch_test.max_import_rows |
10,000 | NLU Workbench - Advanced Features | Make sure your batch test import file has no more than 10,000 rows. |
| The maximum number of utterances to display for feedback in
the expert feedback
loop glide.mlpredictor.option.nlu.activeLearning.label_candidate_table.max_response_size |
300 | NLU Workbench - Advanced Features | Pull no more than 300 utterances from your users' Virtual Agent chat logs to display for feedback in the Expert Feedback Loop application.The minimum umber of utterances a user should review before tuning the model |
| The minimum number of utterances a user should review before
tuning the
model sn_nlu_workbench.glide.nlu.optimize.min_labeled_data |
100 | NLU Workbench - Advanced Features | Provide and save feedback for at least 100 utterances from your users' Virtual Agent chat logs so you can execute the Tune Model feature in the Expert Feedback Loop application. |
| The maximum number of records to fetch from Virtual Agent chat
logs glide.mlpredictor.option.nlu.activeLearning.va_chat_logs.max_row_limit - 3000 |
3,000 | NLU Workbench - Advanced Features | If there is high NLU usage, increasing the default value to a maximum of 50,000 records will increase the data available for the active learning job to filter up on and display in the Expert Feedback Loop application to give feedback on. |
| Size limit on Label Candidate Table (used for pruning the
table) glide.mlpredictor.option.nlu.activeLearning.label_candidate_table.max_data_size - 10000 |
10,000 | NLU Workbench - Advanced Features | The recommended usage for this property is the same as the property above. |
| Size limit on Labeled Data Table (used for pruning the
table) glide.mlpredictor.option.nlu.activeLearning.label_table.max_data_size - 10000 |
10,000 | NLU Workbench - Advanced Features | The recommended usage for this property is the same as the property above. |
| Enable this property to unblock your instance during NLU model training. The training will be scheduled for an off-peak time, and we will notify you when it's done.
glide.mlpredictor.scheduled.nlu.model.training |
False | NLU Workbench - Advanced Features | False |
To get more feedback data from Virtual Agent (VA) chat logs, refer to the Procuring additional VA feedback data on demand section in the Expert Feedback Loop documentation.