process.cluster.batch_size.min_process_to_trainThe process.cluster.batch_size.min_process_to_train property sets the minimum number of processes required to initiate a machine learning training job. Administrators should consider adjusting this value based on the volume of data and training efficiency needs.
The answers below summarize the purpose, scope, default effect, and review scenarios for this property.
| What does it do? | This property defines the minimum threshold of processes that must be available before a machine learning training job can commence. |
|---|---|
| What area does it affect? | Machine Learning Training |
| What does the default mean? | The default value is "1000", which sets the baseline numeric behavior for this property. |
| When should you review it? | Review this property when optimizing machine learning job configurations or adjusting data processing volumes. |
Raw metadata from the property record.
| Property name | process.cluster.batch_size.min_process_to_train |
|---|---|
| Sys ID | 3deafc424fc64110b799aa6b43ce0b51 |
| Type | integer |
| Application | Global |
| Default value | 1000 |
| Description | Minimum process to send to ML training job. |
| Updated | 2022-03-09 04:36:54 |
Official references and nearby text excerpts where this property appears.