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Description
If true, ML Commons tasks and models run machine learning (ML) tasks on ML nodes only. If false, tasks and models run on ML nodes first. If no ML nodes exist, tasks and models run on data nodes. Don’t set as “false” on production cluster.
Values
- Default value:
false
Dispatch tasks to ML node
Setting
plugins.ml_commons.task_dispatch_policy: round_robin
Description
Values
- Dafault value:
round_robin - Value range:
round_robinorleast_load
Setting
When returning runtime information with the , ML Commons will run a regular sync up job to sync up newly loaded or unloaded models on each node. When set to 0, ML Commons immediately stops sync up jobs.
Values
- Default value:
10 - Value range: [0, 86,400]
Predict monitoring requests
Setting
Description
Value range
- Default value:
100 - Value range: [0, 100,000,000]
Setting
Description
Controls how many upload model tasks can run in parallel on one node. If set to 0, you cannot upload models to any node.
- Default value:
10 - Value range: [0, 10]
Load model tasks per node
Setting
plugins.ml_commons.max_load_model_tasks_per_node: 10
Description
Values
- Default value:
10 - Value range: [0, 10]
Setting
Description
The default value allows uploading a model file from any http/https/ftp/local file. You can change this value to restrict trusted model URL
Values
- Default value:
