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
PropertyProperty NameDescription
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