Namespace

`glide.platform_ml_di`

67 ServiceNow system properties in this namespace, with what each one does.

`glide.platform_ml_di.doc_classifier.days_between_trainings`	This property defines the minimum interval in days between consecutive training sessions for the DocClassifier, impacting how frequently the model can be updated.
`glide.platform_ml_di.doc_classifier.document_supported_types`	This property defines the allowed document formats for the DocClassifier, including images and PDFs, impacting its functionality in processing and analyzing documents.
`glide.platform_ml_di.doc_classifier.max_attachment_size`	This property defines the upper limit for attachment sizes that can be processed by the document classifier, impacting how documents are handled in the system.
`glide.platform_ml_di.doc_classifier.max_keys_per_task_definition`	This property limits the number of keys allowed in a task definition for document classification, impacting how use cases are structured.
`glide.platform_ml_di.doc_classifier.max_number_of_attachments`	This property defines the upper limit of attachments that the document classifier can handle for each task, impacting processing capabilities.
`glide.platform_ml_di.doc_classifier.max_number_of_attachments_for_predict`	This property defines the upper limit of attachments allowed for the document classification prediction job, impacting how many files can be analyzed simultaneously.
`glide.platform_ml_di.doc_classifier.max_number_of_pdf_pages`	This property limits the number of pages that the document classifier can process from a single PDF file, with a default setting of 25 pages.
`glide.platform_ml_di.doc_classifier.max_number_of_task_images`	This property limits the number of images allowed for prediction processing in tasks, impacting how documents are handled in the system.
`glide.platform_ml_di.doc_classifier.min_number_of_training_samples_per_class`	It specifies the minimum training samples needed per class to optimize document classification performance.
`glide.platform_ml_di.doc_classifier.mle_component_version`	This property sets the version number for the machine learning workflows associated with the DocClassifier, impacting how documents are processed and classified.
`glide.platform_ml_di.doc_data_extractor.autofill_threshold`	This property defines the score threshold that must be met for candidates to be autofilled in the system, impacting candidate selection efficiency.
`glide.platform_ml_di.doc_data_extractor.batch_size_for_upgrade`	This property defines the number of records processed in each batch during the upgrade data extraction process, impacting upgrade efficiency.
`glide.platform_ml_di.doc_data_extractor.client_side.rescoring`	This boolean property determines whether client-side rescoring is allowed for keygroups, impacting how data is processed and evaluated in real-time.
`glide.platform_ml_di.doc_data_extractor.days_between_advanced_training_jobs`	It defines the minimum interval in days between consecutive advanced training jobs to prevent resource contention.
`glide.platform_ml_di.doc_data_extractor.default_field_sidebar_width`	This property defines the default width of the field sidebar, impacting how data is displayed in the document data extractor interface.
`glide.platform_ml_di.doc_data_extractor.default_image_fit`	This property configures the default behavior of image fitting in the document viewer, with 'fit_to_page' as the standard setting.
`glide.platform_ml_di.doc_data_extractor.default_thumbnail_sidebar_width`	This property configures the default width of the thumbnail sidebar used in document data extraction, impacting how content is visually presented.
`glide.platform_ml_di.doc_data_extractor.enable_concurrency`	This property controls whether document data extraction can occur concurrently, impacting processing speed and efficiency.
`glide.platform_ml_di.doc_data_extractor.experiments.create_candidate_on_the_fly`	It allows candidates to be created on-the-fly in the web UI when extracting values from tasks, enhancing the data extraction workflow.
`glide.platform_ml_di.doc_data_extractor.experiments.show_all_bounding_boxes`	It controls the visibility of candidate bounding boxes in the document viewer, allowing users to see all potential data extraction areas.
`glide.platform_ml_di.doc_data_extractor.field_sidebar_layout_position`	This property specifies whether the fields sidebar is positioned on the right or left side of the interface, affecting how users interact with the document data extractor.
`glide.platform_ml_di.doc_data_extractor.final_training_frequency`	This property sets the threshold for task accumulation before initiating training in the document data extractor process.
`glide.platform_ml_di.doc_data_extractor.image_save_format`	This property determines the format in which images are saved following PDF processing, with JPEG as the default setting.
`glide.platform_ml_di.doc_data_extractor.image_save_quality`	This property defines the JPEG compression ratio used when saving images, affecting the quality and size of the saved files.
`glide.platform_ml_di.doc_data_extractor.keygroup.autofill`	This boolean property determines whether multiple keygroups are automatically filled during data extraction processes.
`glide.platform_ml_di.doc_data_extractor.max_attachment_size`	This property defines the maximum size limit for attachments processed by the document data extractor, impacting data ingestion capabilities.
`glide.platform_ml_di.doc_data_extractor.max_keys_per_task_definition`	This property limits the number of keys allowed in each task definition to optimize processing and resource allocation.
`glide.platform_ml_di.doc_data_extractor.max_keys_per_task_definition_genai_extraction`	This property limits the number of keys allowed in a GenAI extraction task definition, impacting how data is processed and extracted.
`glide.platform_ml_di.doc_data_extractor.max_keys_per_task_definition_genai_qa`	This property limits the number of keys that can be defined for GenAI Q&A tasks, impacting how data is structured and processed.
`glide.platform_ml_di.doc_data_extractor.max_num_of_ocr_jobs`	This property limits the concurrent OCR jobs submitted by the document data extractor, impacting processing efficiency.
`glide.platform_ml_di.doc_data_extractor.max_num_of_pdf_jobs`	This property limits the concurrent submission of PDF jobs to enhance system performance and resource management.
`glide.platform_ml_di.doc_data_extractor.max_num_of_prediction_jobs`	This property limits the concurrent submission of prediction jobs, impacting processing efficiency and system load.
`glide.platform_ml_di.doc_data_extractor.max_number_of_attachments`	This property limits the number of attachments allowed on a task to a specified maximum, which is set to 10 by default.
`glide.platform_ml_di.doc_data_extractor.max_number_of_pdf_pages`	This property limits the number of pages processed from each PDF to enhance system efficiency and prevent overload.
`glide.platform_ml_di.doc_data_extractor.max_number_of_task_images`	This property limits the number of images extracted from a PDF attached to a task, impacting the document extraction process.
`glide.platform_ml_di.doc_data_extractor.max_number_of_tasks_for_upgrade`	This property limits the number of tasks processed during an upgrade to optimize performance and resource allocation.
`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 throughput and performance.
`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 threshold.
`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 metrics, impacting data processing efficiency.
`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 beyond the minimum.
`glide.platform_ml_di.doc_data_extractor.middle_intervals`	This property configures the training frequency intervals for machine learning processes based on ceiling thresholds, impacting how data is processed.
`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 management and storage efficiency.
`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 processing.
`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 across different business units.
`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.
`glide.platform_ml_di.doc_data_extractor.pdf_parsing_supported_types`	It configures the accepted document types for the PDF parsing functionality within the platform.
`glide.platform_ml_di.doc_data_extractor.per_key_availability.active`	This property toggles the activation of the perKeyAvailability feature, impacting how document data extraction handles key availability.
`glide.platform_ml_di.doc_data_extractor.prediction_server.ocr.max_limit`	This property limits the number of concurrent OCR requests to the prediction server, impacting how quickly documents can be processed.
`glide.platform_ml_di.doc_data_extractor.prediction_server.pdf.max_limit`	This property configures the maximum allowable PDF requests to the prediction server, impacting how many requests can be processed simultaneously.
`glide.platform_ml_di.doc_data_extractor.regional_hub_enabled`	This property controls whether data can be sent to shared GPU Datacenters for processing, enhancing performance for data extraction operations.
`glide.platform_ml_di.doc_data_extractor.remaining_data_migration_job_batch_size`	It configures the batch size for record migration, allowing flexibility in managing data transfer during migration jobs.
`glide.platform_ml_di.doc_data_extractor.show_candidate_score`	This property determines whether candidate scores are shown in the suggestions selection menu, enhancing user visibility of scoring metrics.
`glide.platform_ml_di.doc_data_extractor.show_exact_match_option`	This boolean property determines whether the exact match option is shown during document data extraction, affecting how users interact with the extraction interface.
`glide.platform_ml_di.doc_data_extractor.straight_through_processing_threshold`	This property defines the minimum value required for tasks to be processed without manual intervention, impacting automation effectiveness.
`glide.platform_ml_di.doc_data_extractor.taskdefinition_upgrade_percentage`	This property specifies the minimum training completion percentage required for upgrading an existing task definition.
`glide.platform_ml_di.doc_data_extractor.train_for_every_task_below`	It sets the threshold for the number of samples needed for training across various tasks in the machine learning data extractor.
`glide.platform_ml_di.doc_data_extractor.use_prediction_server`	This property determines whether OCR jobs are sent to a prediction server for processing, improving the extraction of data from documents.
`glide.platform_ml_di.doc_data_extractor.warning_score_threshold`	This property defines the score threshold below which candidates are flagged with a warning during document data extraction processes.
`glide.platform_ml_di.doc_data_extractor.word_doc_parsing_supported_types`	This property defines the supported document types for parsing Word Docx files, impacting how documents are processed within the platform.
`glide.platform_ml_di.genai_extractor.max_number_of_task_images`	This property limits the number of images allowed for processing in genai extraction tasks, impacting how many images can be handled at once.
`glide.platform_ml_di.genai_qna.max_number_of_task_images`	This property limits the number of images generated from a PDF for processing in the genai document question and answer feature.
`glide.platform_ml_di.image_format_type_pdf2img`	This property sets the output image format for the PDF to image conversion API, allowing customization between formats like JPEG and others.
`glide.platform_ml_di.image_height_pdf2img`	This property specifies the height of images generated from PDF files during conversion, impacting the final output size and quality.
`glide.platform_ml_di.image_resolution_pdf2img`	This property configures the resolution in DPI for images generated from PDF files during conversion.
`glide.platform_ml_di.image_width_pdf2img`	This property specifies the width of images generated from PDF files during the conversion process.
`glide.platform_ml_di.max_attachment_size_graphql`	This property limits the size of attachments that can be downloaded through GraphQL endpoints, ensuring that file sizes do not exceed the specified limit.
`glide.platform_ml_di.predict_job_timeout_seconds`	This property configures the maximum time allowed for prediction jobs to run before timing out, with a default of 7200 seconds.