---
sourceDocument: Brazil Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences

 Release :

    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Predictive Intelligence properties

# Predictive Intelligence properties {#ariaid-title1}

Release version: Brazil  
Updated September 10, 2026  
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## Summary of Predictive Intelligence properties

Predictive Intelligence properties in ServiceNow control key parameters for managing machine-learning solutions, including their training processes and caching behavior.
These properties are accessible via the Predictive Intelligence \> Configuration module and typically require themaintrole for viewing or editing.
Some settings may require additional roles.
Show full answer Show less  

## Key Properties and Their Practical Use

* **Training Controls:**
  * **Override training lock:** Allows editing of machine learning solution definitions during training by overriding the readonly state.
  * **Training time-out:** Sets how long (in milliseconds) a solution can stay in training without updates before timing out.
* **Record Limits for Training:**
  * **Regression solutions:** Minimum and maximum record counts for training are set, but support for new regression solutions is deprecated since the Washington DC release; existing ones can still be edited and trained.
  * **Classification solutions:** Minimum and maximum records for training are configurable, ensuring models use sufficient data.
  * **Word Corpus and Similarity/Clustering:** Defines max records per table for word corpus creation and limits for similarity window record retrieval; note that post-Washington DC releases use pre-trained Workflow solutions that do not require a word corpus.
  * **Maximum model size:** Caps the number of records used to train a model overall.
  * **Data retrieval limits:** Maximum number of days worth of records that can be retrieved per request can be set to control data volume.
  * **Clustering records:** Sets the max number of records allowed in a clustering solution.
* **Security and Communication:**
  * **ML Trainer KAA authentication:** Enables or disables KAA validation for secure communication with the ML Trainer server, dependent on mTLS configuration.
* **Cache Management:**
  * Properties for managing machine learning artifact cache size and compression to optimize performance.
* **Shared Service Scheduler:**
  * URL configuration for shared service scheduler integration.

## Why This Matters for ServiceNow Customers

Understanding and configuring these properties lets you tailor Predictive Intelligence training and operational parameters to your data size, security requirements, and performance expectations. For example, setting appropriate record limits ensures model accuracy without overloading training resources. The training lock override is useful when you need to adjust solutions mid-training. Cache and artifact management improve system responsiveness. Proper security settings protect communications with ML services.

## What You Can Expect

* Improved control over machine learning model training and deployment.
* Ability to comply with system resource constraints and security policies.
* Flexibility in maintaining and updating existing regression solutions despite deprecation of new ones.
* Optimized caching and artifact management for better runtime performance.  
The properties for Predictive Intelligence control certain parameters of its machine-learning solutions, solution training process, and caching.
Using the maint role, navigate to Predictive IntelligenceConfiguration to review or edit.  
Note:  
Most of the properties related to training require the maint role to review or edit. Some properties may require other roles.  
{#predictive-intelligence-properties__table_ewc_w21_rpb__entry__3}

| Property | Property Name | Description |
|-|-|-|
| Override ml_solution_definition record's readonly state during training | glide.platform_ml.override_training_lock | * True: Overrides the readonly state during training, enabling you to edit ml_solution_definition. * False: ml_solution_definition remains in the readonly state. {#predictive-intelligence-properties__ul_ovy_brz_spb} |
| Minimum number of records for Regression | glide.platform_ml.api.min_regression_records | Sets the minimum number of records required for Regression solution training. * Type: Integer * Default value: 10000 {#predictive-intelligence-properties__ul_iys_4qz_spb} Note: Support for new regression solutions is deprecated as of the Washington DC release. You can edit and train any existing solutions, but you can't create new ones. |
| Maximum number of records for Regression | glide.platform_ml.api.max_regression_records | Sets the maximum number of records that can be used in Regression solution training. * Type: Integer * Default value: 300000 {#predictive-intelligence-properties__ul_q5h_rqz_spb} Note: Support for new regression solutions is deprecated as of the Washington DC release. You can edit and train any existing solutions, but you can't create new ones. |
| The time (in ms) an in-training solution will wait without updates before timing out | glide.platform_ml.training_timeout | Sets the time-out time in milliseconds for an in-training solution. * Type: Integer * Default value: 21600000 (ms) {#predictive-intelligence-properties__ul_tgd_yqz_spb} |
| Maximum model size | glide.platform_ml.api.model_size | Sets the maximum number of records you can use to train a model. * Type: Integer * Default value: 524288000 {#predictive-intelligence-properties__ul_wqg_g5k_gqb} |
| Maximum number of records used in training | glide.platform_ml.api.csv_max_line | Sets the maximum number of records that can be used in Classification solution training. * Type: Integer * Default value: 300000 {#predictive-intelligence-properties__ul_rkw_1qz_spb} |
| Minimum number of records used in training | glide.platform_ml.api.csv_min_line | Sets the minimum number of records required for Classification solution training. * Type: Integer * Default value: 10000 {#predictive-intelligence-properties__ul_dfp_gpb_rpb} |
| Maximum number of days worth of records on request can retrieve | glide.platform_ml.api.csv_split_days | Sets the maximum number of days a single request can retrieve from your records. * Type: Integer * Default value: 30 {#predictive-intelligence-properties__ul_oxb_g5k_gqb} |
| Maximum number of records per table for word corpus | glide.platform_ml.api.max_wordcorpus_records | Sets the maximum number of records per table for Word Corpus creation for Similarity and Clustering solutions. * Type: Integer * Default value: 300000 {#predictive-intelligence-properties__ul_gvy_1pb_rpb} Note: With the Washington DC release, classification, clustering and similarity solutions use Workflow solutions. These are pre-trained so a word corpus isn't needed. The Word Corpus field is removed from Workflow solution forms. |
| Maximum number of records for similarity window (to lookup results) | glide.platform_ml.api.max_similarity_window_records | Sets the maximum number of records that the Similarity Window can retrieve to look up results. * Type: Integer * Default value: 100000 {#predictive-intelligence-properties__ul_xyw_cpb_rpb} |
| Maximum number of records for Clustering | glide.platform_ml.api.max_clustering_records | Sets the maximum number of records you can include in a cluster. * Type: Integer * Default value: 100000 {#predictive-intelligence-properties__ul_x3r_dpb_rpb} |
| ML Trainer - Glide communication KAA | glide.platform_ml.kaa_auth_enabled | The KAA validation to the ML Trainer server occurs only if mTLS is enabled on the instance. If this property is enabled but mTLS isn't enabled, the KAA validation is skipped. For more information see [KB2977679](https://support.servicenow.com/nav_to.do?uri=/kb?id=kb_article_view&sysparm_article=KB2977679) on the Now Support portal. * Type: Boolean * Default value:true (from the Australia release) {#predictive-intelligence-properties__ul_l2y_1cz_xjc} |
[Table 1. Predictive Intelligence properties]

{#predictive-intelligence-properties__table_ewc_w21_rpb} {#predictive-intelligence-properties__table_xlt_kg1_rpb__entry__2}

| Property | Property Name |
|-|-|
| Shared service scheduler url | glide.shared_service_scheduler.url |
[Table 2. Shared Service Scheduler]

{#predictive-intelligence-properties__table_xlt_kg1_rpb} {#predictive-intelligence-properties__table_m3f_ng1_rpb__entry__2}

| Property | Property Name |
|-|-|
| Maximum number of artifacts cached (in MB) | glide.cache.size.ml_object_cache |
| Artifact cache compression scheme | glide.platform_ml.artifact.cache_compression_scheme |
[Table 3. Machine Learning Artifacts]

{#predictive-intelligence-properties__table_m3f_ng1_rpb}
**Related concepts**   

* [Domain separation and Predictive Intelligence](https://www.servicenow.com/docs/QSjktEDuBwqVxCogxP5MqQ "Domain separation is supported in the Predictive Intelligence application. Domain separation enables you to separate data, processes, and administrative tasks into logical groupings called domains. You can control several aspects of this separation, including which users can see and access data.")
* [Predictive Intelligence language support](https://www.servicenow.com/docs/zWo8n1bYhW9QlLcciTUEAg "Predictive Intelligence provides international language support. Learn which languages are available to Predictive Intelligence solutions.")  
**Related reference**   

* [Data Encryption in Predictive Intelligence](https://www.servicenow.com/docs/1eAKD7mYwF62hJQFliMu2A "Learn which types of encryption are supported for training Predictive Intelligence solutions.")
* [Predictive Intelligence roles](https://www.servicenow.com/docs/9TxFuQpeuS91WGO6KRatjw#predictive-intelligence-roles "Predictive Intelligence is installed with these roles.")

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