Closed FYLSunghwan closed 2 years ago
Name | MLOps Example
Description | Best practice using Castanets in MLOps Field.
<?castanets {"stage_idx": 2}?>
Review stage changed from Start to Data Processing. Workflow was triggered for this stage.
flowchart LR
data_processing[Data Processing]:::Running --> training[Training]:::Pending --> Deployment[Deployment]:::Pending
classDef Done fill:#2da44e,stroke:#fff,color:white
classDef Running fill:#bf8700,stroke:#fff,color:white
classDef Pending fill:#888,stroke:#fff,color:white
📣 New version of dataset released.
You can check the dataset here: Iris Dataset Link
At least 1 approvals are needed to move this process forward.
Requested reviewers:
/approve
Review stage changed from Data Processing to Training. Workflow was triggered for this stage.
flowchart LR
data_processing[Data Processing]:::Done --> training[Training]:::Running --> Deployment[Deployment]:::Pending
classDef Done fill:#2da44e,stroke:#fff,color:white
classDef Running fill:#bf8700,stroke:#fff,color:white
classDef Pending fill:#888,stroke:#fff,color:white
👩🏫 Training with Iris Dataset v5 is triggered!
You can check the training job here: Azure ML Studio
At least 2 approvals are needed to move this process forward.
Requested reviewers:
@harrydrippin It looks like you have to review this training process. The training metric looks good to me. Give me some ideas! (or Approve this process 😄 )
/approve
👩🏫 Training Result
Experiment/Pipeline ID: mlops-example-master_1654500861_5d0f333d
Run ID | Parameter | Value |
---|---|---|
mlops-example-master_1654500861_5d0f333d | Kernel type | linear |
mlops-example-master_1654500861_5d0f333d | Penalty | 1.0 |
mlops-example-master_1654500861_5d0f333d | Accuracy | 0.933 |
mlops-example-master_1654500861_5d0f333d | precision | 0.933 |
mlops-example-master_1654500861_5d0f333d | recall | 0.933 |
mlops-example-master_1654500861_5d0f333d | f1-score | 0.933 |
mlops-example-master_1654500861_5d0f333d | confusion_matrix | aml://artifactId/ExperimentRun/dcid.mlops-example-master_1654500861_5d0f333d/confusion_matrix |
mlops-example-master_1654500861_5d0f333d | confusion_matrix_unnormalized | aml://artifactId/ExperimentRun/dcid.mlops-example-master_1654500861_5d0f333d/confusion_matrix_unnormalized_1654501003.png |
mlops-example-master_1654500861_5d0f333d | confusion_matrix_normalized | aml://artifactId/ExperimentRun/dcid.mlops-example-master_1654500861_5d0f333d/confusion_matrix_normalized_1654501003.png |
Model Pushed to:
Also LGTM to me 😊 Let's move forward.
/approve
Review stage changed from Training to Deployment. Workflow was triggered for this stage.
flowchart LR
data_processing[Data Processing]:::Done --> training[Training]:::Done --> Deployment[Deployment]:::Running
classDef Done fill:#2da44e,stroke:#fff,color:white
classDef Running fill:#bf8700,stroke:#fff,color:white
classDef Pending fill:#888,stroke:#fff,color:white
🛫 Deployment of Iris Model v5 is triggered!
You can check the deployment process here: Azure ML Studio
At least 1 approvals are needed to move this process forward.
Requested reviewers:
Process Description
This process runs training process of Iris dataset version 5.
Payload