Predictive Intelligence properties

  • Release version: Australia
  • Updated March 12, 2026
  • 2 minutes to read
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    Summary of Predictive Intelligence Properties

    The Predictive Intelligence properties in ServiceNow govern the parameters for machine-learning solutions, including their training processes and caching. Access to these properties requires the maint role, with some properties needing additional roles for modification. Customers can review and edit these settings to optimize their predictive capabilities.

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    Key Features

    • Training Lock Override: The ability to override the readonly state of the mlsolutiondefinition during training, enabling edits.
    • Record Limits for Regression: Minimum (10,000) and maximum (300,000) records for training regression solutions, with new creation support deprecated.
    • Training Timeout: Configurable timeout (default 21,600,000 ms) for in-training solutions.
    • Model Size Limit: Maximum model size for training set at 524,288,000 records.
    • Classification Training Records: Minimum (10,000) and maximum (300,000) records for classification solution training.
    • Request Limits: Limits on days and records retrievable in requests, ensuring efficient data handling.
    • Artifact Management: Controls for caching of machine learning artifacts and compression schemes.

    Key Outcomes

    By adjusting these properties, ServiceNow customers can enhance their machine-learning model training, manage data efficiently, and ensure optimal performance of predictive intelligence applications. Understanding these configurations is crucial for leveraging the full potential of predictive capabilities in their workflows.

    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 1. Predictive Intelligence properties
    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.
    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
    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
    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)
    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
    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
    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
    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
    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
    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
    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
    Table 2. Shared Service Scheduler
    Property Property Name
    Shared service scheduler url glide.shared_service_scheduler.url
    Table 3. Machine Learning Artifacts
    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