---
title: Predictive Intelligence properties
description: The properties for Predictive Intelligence control certain parameters of its machine-learning solutions, solution training process, and caching.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/australia/intelligent-experiences/predictive-intelligence/predictive-intelligence-properties.html
release: australia
product: Predictive Intelligence
classification: predictive-intelligence
topic_type: reference
last_updated: "2026-07-27"
reading_time_minutes: 3
breadcrumb: [Predictive Intelligence references, Predictive Intelligence, Enable AI experiences]
---

# Predictive Intelligence properties

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 Intelligence** > **Configuration** 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.

<table id="table_ewc_w21_rpb"><thead><tr><th>

Property

</th><th>

Property Name

</th><th>

Description

</th></tr></thead><tbody><tr><td>

Override ml\_solution\_definition record's readonly state during training

</td><td>

glide.platform\_ml.override\_training\_lock

</td><td>

-   True: Overrides the **readonly** state during training, enabling you to edit ml\_solution\_definition.
-   False: ml\_solution\_definition remains in the **readonly** state.

</td></tr><tr><td>

Minimum number of records for Regression

</td><td>

glide.platform\_ml.api.min\_regression\_records

</td><td>

Sets the minimum number of records required for Regression solution training.-   Type: Integer
-   Default value: 10000

**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.

</td></tr><tr><td>

Maximum number of records for Regression

</td><td>

glide.platform\_ml.api.max\_regression\_records

</td><td>

Sets the maximum number of records that can be used in Regression solution training.-   Type: Integer
-   Default value: 300000

**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.

</td></tr><tr><td>

The time \(in ms\) an in-training solution will wait without updates before timing out

</td><td>

glide.platform\_ml.training\_timeout

</td><td>

Sets the time-out time in milliseconds for an in-training solution.-   Type: Integer
-   Default value: 21600000 \(ms\)

</td></tr><tr><td>

Maximum model size

</td><td>

glide.platform\_ml.api.model\_size

</td><td>

Sets the maximum number of records you can use to train a model. -   Type: Integer
-   Default value: 524288000

</td></tr><tr><td>

Maximum number of records used in training

</td><td>

glide.platform\_ml.api.csv\_max\_line

</td><td>

Sets the maximum number of records that can be used in Classification solution training.-   Type: Integer
-   Default value: 300000

</td></tr><tr><td>

Minimum number of records used in training

</td><td>

glide.platform\_ml.api.csv\_min\_line

</td><td>

Sets the minimum number of records required for Classification solution training. -   Type: Integer
-   Default value: 10000

</td></tr><tr><td>

Maximum number of days worth of records on request can retrieve

</td><td>

glide.platform\_ml.api.csv\_split\_days

</td><td>

Sets the maximum number of days a single request can retrieve from your records.-   Type: Integer
-   Default value: 30

</td></tr><tr><td>

Maximum number of records per table for word corpus

</td><td>

glide.platform\_ml.api.max\_wordcorpus\_records

</td><td>

Sets the maximum number of records per table for Word Corpus creation for Similarity and Clustering solutions.-   Type: Integer
-   Default value: 300000

**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.

</td></tr><tr><td>

Maximum number of records for similarity window \(to lookup results\)

</td><td>

glide.platform\_ml.api.max\_similarity\_window\_records

</td><td>

Sets the maximum number of records that the Similarity Window can retrieve to look up results. -   Type: Integer
-   Default value: 100000

</td></tr><tr><td>

Maximum number of records for Clustering

</td><td>

glide.platform\_ml.api.max\_clustering\_records

</td><td>

Sets the maximum number of records you can include in a cluster. -   Type: Integer
-   Default value: 100000

</td></tr><tr><td>

ML Trainer - Glide communication KAA

</td><td>

glide.platform\_ml.kaa\_auth\_enabled

</td><td>

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=%2Fkb%3Fid%3Dkb_article_view%26sysparm_article%3DKB2977679) on the Now Support portal.

-   Type: Boolean
-   Default value:true \(from the Australia release\)

</td></tr></tbody>
</table>|Property|Property Name|
|--------|-------------|
|Shared service scheduler url|glide.shared\_service\_scheduler.url|

|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|

**Parent Topic:**[Predictive Intelligence references](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/predictive-intelligence/reference-predictive-intelligence.md)

**Related topics**  


[Domain separation and Predictive Intelligence]()

[Data Encryption in Predictive Intelligence]()

[Predictive Intelligence language support]()

[Predictive Intelligence roles]()