Namespace

`glide.mlpredictor`

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

`glide.mlpredictor.ml_x_snc_global_global_6eedb38234bf5010f877396127c8ffee.predict.request_timeout`	This property defines the time limit in milliseconds for prediction requests, impacting how long the system waits before timing out.
`glide.mlpredictor.option.nlu.@lookupSources:hardware`	This property configures the system to utilize a predefined vocabulary for hardware names, enhancing the accuracy of hardware-related queries.
`glide.mlpredictor.option.nlu.@lookupSources:software`	This property configures the system to utilize a predefined vocabulary for software name recognition, improving natural language understanding capabilities.
`glide.mlpredictor.option.nlu.activeLearning.isEnabled`	This property directly controls whether the Active Learning feature is active, impacting how the system learns from user interactions.
`glide.mlpredictor.option.nlu.activeLearning.label_candidate_table.max_data_size`	This property defines the upper limit on the number of records in the Label Candidate Table, impacting data storage capacity.
`glide.mlpredictor.option.nlu.activeLearning.label_candidate_table.max_response_size`	It limits the number of candidate samples returned by the Active Learning job for labeling purposes.
`glide.mlpredictor.option.nlu.activeLearning.label_table.max_data_size`	This property defines the upper limit for the number of records in the Label Table, impacting data management and system performance.
`glide.mlpredictor.option.nlu.activeLearning.max_models_limit`	This property limits the number of models fetched in the Active Learning process, impacting the efficiency of model training and evaluation.
`glide.mlpredictor.option.nlu.activeLearning.va_chat_logs.filtering_on`	This property enables or disables the filtering of VA chat logs to exclude mid-conversation utterances and dialog acts, ensuring cleaner data for analysis.
`glide.mlpredictor.option.nlu.activeLearning.va_chat_logs.max_row_limit`	It limits the number of records retrieved from the VA chat logs during Active Learning processes, impacting data analysis and training efficiency.
`glide.mlpredictor.option.nlu.activeLearning.va_chat_logs.min_row_limit`	This property specifies the minimum number of records to fetch from the VA chat logs, impacting the data available for the Active Learning process.
`glide.mlpredictor.option.nlu.ml_x_snc_global_global_6eedb38234bf5010f877396127c8ffee.modelUseCase`	This property specifies the intended use case for the machine learning model, influencing how it processes and responds to queries.
`glide.mlpredictor.scheduled.nlu.model.training`	This property schedules NLU model training during off-peak times to minimize impact on instance performance.