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team-castanets / mlops-example

MLOps example using Castanets with Azure.
MIT License
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[Castanets] Training Version 3 (Test) #3

Closed FYLSunghwan closed 2 years ago

FYLSunghwan commented 2 years ago

Process Description

Detailed description of the process.

Payload

version: 3
issue_id: 3
CastanetsBot commented 2 years ago

Castanets process has been started.

Name | MLOps Example
Description | Best practice using Castanets in MLOps Field.

<?castanets {}?>

CastanetsBot commented 2 years ago

Click, clack. We are moving forward!

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

Stage Description

📣 New version of dataset released.

You can check the dataset here: Iris Dataset Link

Required Reviews

At least 1 approvals are needed to move this process forward.

Requested reviewers:

FYLSunghwan commented 2 years ago

/approve

CastanetsBot commented 2 years ago

Click, clack. We are moving forward!

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

Stage Description

👩‍🏫 Training with Iris Dataset v3 is triggered!

You can check the training job here: Azure ML Studio

Required Reviews

At least 2 approvals are needed to move this process forward.

Requested reviewers:

CastanetsBot commented 2 years ago

Azure ML Studio Alert

👩‍🏫 Training Result

Run Details:

Experiment/Pipeline ID: mlops-example-master_1654494943_c7a26532

Run ID Parameter Value
mlops-example-master_1654494943_c7a26532 Kernel type linear
mlops-example-master_1654494943_c7a26532 Penalty 1.0
mlops-example-master_1654494943_c7a26532 confusion_matrix_normalized aml://artifactId/ExperimentRun/dcid.mlops-example-master_1654494943_c7a26532/confusion_matrix_normalized_1654495125.png
mlops-example-master_1654494943_c7a26532 Accuracy 0.933
mlops-example-master_1654494943_c7a26532 precision 0.933
mlops-example-master_1654494943_c7a26532 recall 0.933
mlops-example-master_1654494943_c7a26532 f1-score 0.933
mlops-example-master_1654494943_c7a26532 confusion_matrix aml://artifactId/ExperimentRun/dcid.mlops-example-master_1654494943_c7a26532/confusion_matrix
mlops-example-master_1654494943_c7a26532 confusion_matrix_unnormalized aml://artifactId/ExperimentRun/dcid.mlops-example-master_1654494943_c7a26532/confusion_matrix_unnormalized_1654495125.png

Model Pushed to: