--- sourceDocument: Yokohama Enable AI sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/intelligent-experiences Release : - yokohama ft:locale : - en-US ft:publication_title : - Yokohama Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Predictive Intelligence properties # Predictive Intelligence properties {#ariaid-title1} Release version: Yokohama Updated January 30, 2025 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) 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 Predictive Intelligence properties in ServiceNow configure key parameters for machine-learning solutions, including training processes and caching behavior. These settings help control solution training limits, timeout durations, and data handling specifics to optimize machine learning performance within your instance. Show full answer Show less To view or modify these properties, you must have the **maint** role and navigate to **Predictive Intelligence \> Configuration**. Some properties may require additional roles for editing. ## Key Properties and Their Practical Use * **Training Lock Override (glide.platformml.overridetraininglock):** Allows editing of solution definitions during training by overriding the readonly state. Useful for making real-time adjustments. * **Regression Training Record Limits:** * Minimum (glide.platformml.api.minregressionrecords): Default 10,000 records needed. * Maximum (glide.platformml.api.maxregressionrecords): Default 300,000 records allowed. Note that support for new regression solutions is deprecated since the Washington DC release; existing ones can still be edited and trained. * **Training Timeout (glide.platformml.trainingtimeout):** Maximum wait time without updates before training times out, defaulting to 21,600,000 ms (6 hours). * **Model Size Limit (glide.platformml.api.modelsize):** Caps the number of records used to train a model, defaulting to 524,288,000 records. * **Classification Training Record Limits:** * Minimum (glide.platformml.api.csvminline): 10,000 records. * Maximum (glide.platformml.api.csvmaxline): 300,000 records. * **Data Retrieval Limits:** Maximum days of records per request (glide.platformml.api.csvsplitdays) is 30 days by default. * **Word Corpus Limits for Similarity and Clustering (glide.platformml.api.maxwordcorpusrecords):** Maximum 300,000 records per table; note that Workflow solutions now pre-train models and do not require a word corpus. * **Similarity Window Records (glide.platformml.api.maxsimilaritywindowrecords):** Maximum 100,000 records to retrieve for similarity lookups. * **Clustering Record Limit (glide.platformml.api.maxclusteringrecords):** Maximum 100,000 records per cluster. ## Additional Configuration Areas * **Shared Service Scheduler URL (glide.sharedservicescheduler.url):** Configures the endpoint for shared service scheduling. * **Machine Learning Artifacts Cache:** * Maximum cache size (glide.cache.size.mlobjectcache) specified in MB. * Artifact cache compression scheme (glide.platformml.artifact.cachecompressionscheme) to optimize storage. ## Why These Settings Matter Adjusting these properties allows you to fine-tune predictive models' training processes, manage resource consumption effectively, and ensure timely processing. Understanding deprecated features such as regression solution support helps in planning migration to newer workflows. Proper configuration supports better model accuracy and system stability. 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} | [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://servicenow-prod.fluidtopics.net/kx51jXv0Jx1brzdBXSX31g "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://servicenow-prod.fluidtopics.net/4PKHvpMxjO8VSTUNtdi94Q "Predictive Intelligence provides international language support. Learn which languages are available to Predictive Intelligence solutions.") **Related reference** * [Data Encryption in Predictive Intelligence](https://servicenow-prod.fluidtopics.net/zEmHdvhzEOAnjYDCijBTZA "Learn which types of encryption are supported for training Predictive Intelligence solutions.") * [Predictive Intelligence roles](https://servicenow-prod.fluidtopics.net/u47dqwwbrzeNgTmX_d006A#predictive-intelligence-roles "Predictive Intelligence is installed with these roles.") *[\>]: and then