SN System Properties Reference
Property reference

glide.platform_ml_di.doc_data_extractor.middle_intervals

The glide.platform_ml_di.doc_data_extractor.middle_intervals property defines intermediate intervals for training frequency based on specified ceiling values. Administrators should review this property to optimize machine learning training configurations based on their data processing needs.

Default
[{"ceiling": 500, "frequency": 5},{"ceiling": 1000, "frequency": 10}]
Type
string
Application
Global

Key questions about this property

The answers below summarize the purpose, scope, default effect, and review scenarios for this property.

What does it do? This property configures the training frequency intervals for machine learning processes based on ceiling thresholds, impacting how data is processed.
What area does it affect? Machine Learning Configuration
What does the default mean? The default value is "[{"ceiling": 500, "frequency": 5},{"ceiling": 1000, "frequency": 10}]", which is the baseline setting used unless it is changed.
When should you review it? Review this property when adjusting machine learning training parameters or optimizing performance.

Out of the box property record

Raw metadata from the property record.

Property name glide.platform_ml_di.doc_data_extractor.middle_intervals
Sys ID da37b2626f60211049ef9d97345b36f5
Type string
Application Global
Default value [{"ceiling": 500, "frequency": 5},{"ceiling": 1000, "frequency": 10}]
Description Intermediate intervals describing training frequency based on ceiling number
Updated 2023-04-13 06:54:22

Sources

Official references and nearby text excerpts where this property appears.

More in glide.platform_ml_di

Other properties in the same namespace.

glide.platform_ml_di.doc_data_extractor.max_tasks_processed_per_day This property defines the upper limit of tasks that can be processed daily on the instance, influencing task t glide.platform_ml_di.doc_data_extractor.metrics_aggregated_additional_days_kept This property configures the retention period for aggregated DocIntel metrics, extending it beyond the minimum glide.platform_ml_di.doc_data_extractor.metrics_aggregation_minimum This property determines the threshold of records needed to trigger small-scale aggregation for DocIntel metri glide.platform_ml_di.doc_data_extractor.metrics_daily_additional_days_kept This property configures the retention period for daily metrics, extending it by a specified number of days be glide.platform_ml_di.doc_data_extractor.ml_solutions_to_keep_from_cleanup It configures the retention limit for machine learning solution records in the cleanup process, impacting data glide.platform_ml_di.doc_data_extractor.mle_component_version This property defines the specific version of the ML backend component that ML workflows will utilize for proc glide.platform_ml_di.doc_data_extractor.mluc.id.list This property specifies the machine learning use case IDs that the system uses for document data extraction ac glide.platform_ml_di.doc_data_extractor.ocr_parsing_supported_types This property defines the supported image formats for OCR parsing, with a default of PNG and JPEG.

All 67 properties in glide.platform_ml_di →