danilonicioka / mlops-workflow Goto Github PK

k port-forward svc/minio-svc -n minio 9090 9000

k port-forward svc/ml-pipeline-ui 3000:80

├── LICENSE
├── README.md                   <- The top-level README for developers using this project.
├── data
│   ├── external                <- Data from third party sources.
│   ├── interim                 <- Intermediate data that has been transformed.
│   ├── processed               <- The final, canonical data sets for modeling.
│   └── raw                     <- The original, immutable data dump.
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├── docker                      <- files to create image for flask app
│   ├── templates               <- html files for flask app pages
│   │   ├── home.html           <- home page "/"
|   |   └── submit_file.html    <- page to submit new data to append in dataset
│   |
│   ├── .env                    <- file to set env vars for flask app to access minio and github
│   ├── app.py                  <- main app file
│   ├── requirements.txt        <- packages needed to run flask app
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├── flask                       <- files to deploy flask app in cluster
│   ├── cm.yml                  <- config map manifest
│   ├── deployment.yml          
│   ├── secret.yml              <- to access minio
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├── kserve                      <- files to test kserve
├── kubeflow                    <- additional files to kubeflow
├── minio                       <- manifests to deploy minio
│
├── notebooks                   <- Jupyter notebooks. Naming convention is a number (for ordering),
│   |                              the creator's initials, and a short `-` delimited description, e.g.
│   |                              `1.0-jqp-initial-data-exploration`.
│   ├── 3s-DNN.ipynb            <- notebook from youtubegoes5g
│   ├── 3sdnn.py                <- just the python script parts
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├── pipeline                    <- files to deploy kubeflow pipeline