Listing pipelines
Information about pipelines in the catalog can be retrieved using the gds.pipeline.list()
procedure.
Syntax
List pipelines from the catalog:
CALL gds.pipeline.list(pipelineName: String)
YIELD
pipelineName: String,
pipelineType: String,
creationTime: DateTime,
pipelineInfo: Map
Name | Type | Default | Optional | Description |
---|---|---|---|---|
pipelineName |
String |
|
yes |
The name of a pipeline. If not specified, all pipelines in the catalog are listed. |
Name | Type | Description |
---|---|---|
pipelineName |
String |
The name of the pipeline. |
pipelineType |
String |
The type of the pipeline. |
creationTime |
Datetime |
Time when the pipeline was created. |
pipelineInfo |
Map |
Detailed information about this particular training pipeline, such as about intermediate steps in the pipeline. |
Examples
Once we have created training pipelines in the catalog we can see information about either all of them or a single model using its name.
To exemplify listing pipelines, we create a node classification pipeline and a link prediction pipeline so that we have something to list.
Creating a link prediction training pipelines:
CALL gds.beta.pipeline.linkPrediction.create('lpPipe')
Creating node classification training pipelines:
CALL gds.beta.pipeline.nodeClassification.create('ncPipe')