Closed FYLSunghwan closed 2 years ago
Name | MLOps Example
Description | Best practice using Castanets in MLOps Field.
<?castanets {"finished": true}?>
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:
👩🏫 Training Result
Experiment/Pipeline ID: mlops-example-master_1654501850_df83dc0c
Run ID | Parameter | Value |
---|---|---|
mlops-example-master_1654501850_df83dc0c | Kernel type | linear |
mlops-example-master_1654501850_df83dc0c | Penalty | 1.0 |
mlops-example-master_1654501850_df83dc0c | Accuracy | 0.933 |
mlops-example-master_1654501850_df83dc0c | precision | 0.933 |
mlops-example-master_1654501850_df83dc0c | recall | 0.933 |
mlops-example-master_1654501850_df83dc0c | f1-score | 0.933 |
mlops-example-master_1654501850_df83dc0c | confusion_matrix | aml://artifactId/ExperimentRun/dcid.mlops-example-master_1654501850_df83dc0c/confusion_matrix |
mlops-example-master_1654501850_df83dc0c | confusion_matrix_unnormalized | aml://artifactId/ExperimentRun/dcid.mlops-example-master_1654501850_df83dc0c/confusion_matrix_unnormalized_1654502106.png |
mlops-example-master_1654501850_df83dc0c | confusion_matrix_normalized | aml://artifactId/ExperimentRun/dcid.mlops-example-master_1654501850_df83dc0c/confusion_matrix_normalized_1654502107.png |
Model Pushed to:
@harrydrippin It looks like this stage needs your review! The training metric seems great to me. Any comments? (or you can approve this stage! 😄)
This LGTM. Let's move forward.
/approve
/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:
🛫 Deploy Result
/approve
Issue will be automatically closed.
Process Description
This process trains simple SVM model to learn Iris dataset.
This process uses Iris version v5 that has released yesterday.
Payload