Predictive Intelligence properties

  • Release version: Washingtondc
  • Updated July 11, 2024
  • 2 minutes to read
    • Summarize
    Summarized using AI
    This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.

    Summary of Predictive Intelligence properties Enable AI experiences

    The Predictive Intelligence properties in ServiceNow manage aspects of machine learning frameworks and training processes. Users with the maint role can access and modify these settings under Predictive Intelligence > Configuration, although some properties may require additional roles for editing.

    Show full answer Show less

    Key Features

    • Override Training Lock: Control if the mlsolutiondefinition record can be edited during training.
    • Minimum/Maximum Records for Regression: Set the record limits for regression training, with a minimum of 10,000 and a maximum of 300,000 records.
    • Training Timeout: Adjust the timeout duration for in-training solutions, defaulting to 21,600,000 ms.
    • Maximum Model Size: Define the maximum size for training models, set at 524,288,000 records.
    • Classification Training Records: Specify limits for classification training, mirroring regression's record settings.
    • Word Corpus Records: Manage the maximum records for creating a word corpus for similarity and clustering solutions, defaulting at 300,000.
    • Similarity and Clustering Records: Control the maximum records allowed for similarity lookups and clustering, both set at 100,000.
    • Shared Service Scheduler: Access the URL for shared service scheduling.
    • Machine Learning Artifacts: Manage cache settings for machine learning artifacts, including maximum cache size and compression schemes.

    Key Outcomes

    Understanding and configuring these properties allows ServiceNow customers to effectively manage their machine learning processes, ensuring optimal performance and compliance with training requirements. This is crucial for leveraging predictive intelligence capabilities in their applications.

    The Predictive Intelligence properties control certain aspects of its machine-learning solution frameworks and solution training process, as well as other areas of the application.

    Using the maint role, navigate to Predictive Intelligence > Configuration to review or edit these properties.
    Note:
    Some properties require other roles to review or edit.
    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 with 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 with 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, 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