/AWS1/CL_SGMAIMLFLOWCONFIG¶
The MLflow tracking configuration for logging metrics and parameters to a SageMaker managed MLflow tracking server.
CONSTRUCTOR¶
IMPORTING¶
Required arguments:¶
iv_mlflowresourcearn TYPE /AWS1/SGMAIMLFLOWRESOURCEARN /AWS1/SGMAIMLFLOWRESOURCEARN¶
The Amazon Resource Name (ARN) of the SageMaker managed MLflow resource.
Optional arguments:¶
iv_mlflowexperimentname TYPE /AWS1/SGMAIMLFLWEXPERIMENTNAME /AWS1/SGMAIMLFLWEXPERIMENTNAME¶
The MLflow experiment name used for tracking.
iv_mlflowrunname TYPE /AWS1/SGMAIMLFLOWRUNNAME /AWS1/SGMAIMLFLOWRUNNAME¶
The MLflow run name used for tracking.
Queryable Attributes¶
MlflowResourceArn¶
The Amazon Resource Name (ARN) of the SageMaker managed MLflow resource.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MLFLOWRESOURCEARN() |
Getter for MLFLOWRESOURCEARN, with configurable default |
ASK_MLFLOWRESOURCEARN() |
Getter for MLFLOWRESOURCEARN w/ exceptions if field has no v |
HAS_MLFLOWRESOURCEARN() |
Determine if MLFLOWRESOURCEARN has a value |
MlflowExperimentName¶
The MLflow experiment name used for tracking.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MLFLOWEXPERIMENTNAME() |
Getter for MLFLOWEXPERIMENTNAME, with configurable default |
ASK_MLFLOWEXPERIMENTNAME() |
Getter for MLFLOWEXPERIMENTNAME w/ exceptions if field has n |
HAS_MLFLOWEXPERIMENTNAME() |
Determine if MLFLOWEXPERIMENTNAME has a value |
MlflowRunName¶
The MLflow run name used for tracking.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MLFLOWRUNNAME() |
Getter for MLFLOWRUNNAME, with configurable default |
ASK_MLFLOWRUNNAME() |
Getter for MLFLOWRUNNAME w/ exceptions if field has no value |
HAS_MLFLOWRUNNAME() |
Determine if MLFLOWRUNNAME has a value |