glide.platform_ml_di.doc_data_extractor.train_for_every_task_below This property determines the minimum number of samples required to train for every task. Admins should review it to ensure adequate training data is available for effective machine learning model performance.
100The answers below summarize the purpose, scope, default effect, and review scenarios for this property.
| What does it do? | It sets the threshold for the number of samples needed for training across various tasks in the machine learning data extractor. |
|---|---|
| What area does it affect? | Machine Learning Configuration |
| What does the default mean? | The default value is "100", which sets the baseline numeric behavior for this property. |
| When should you review it? | Review this property when adjusting training data requirements or optimizing machine learning performance. |
Raw metadata from the property record.
| Property name | glide.platform_ml_di.doc_data_extractor.train_for_every_task_below |
|---|---|
| Sys ID | da37b2626f60211049ef9d97345b36d6 |
| Type | integer |
| Application | Global |
| Default value | 100 |
| Description | Train for every task until at least one key has that many samples |
| Updated | 2023-04-13 07:01:17 |
Official references and nearby text excerpts where this property appears.
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