Kubeflow pipelines sample using kfp
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├── README.md
├── data
│ ├── 01_inputs
│ ├── 02_features
│ ├── 03_models
│ ├── 10_kubeflow_file_versions
│ └── 11_kubeflow_files
├── kubeflow-pipeline # Manage the ml pipeline by kfp
│ ├── README.md
│ ├── kubeflow_pipeline
│ ├── poetry.lock
│ ├── pyproject.toml
│ └── tests
├── kubeflow-preprocesser # Manage the ml prerpcessing by pandas
│ ├── README.rst
│ ├── kubeflow_preprocesser
│ ├── poetry.lock
│ ├── pyproject.toml
│ └── tests
├── kubeflow-trainer # Manage the ml training by pandas
│ ├── README.md
│ ├── kubeflow_trainer
│ ├── poetry.lock
│ ├── pyproject.toml
│ └── tests
├── notebooks
│ ├── ex_iris_1_pre.ipynb
│ └── ex_iris_1_train.ipynb
├── poetry.lock
└── pyproject.toml # Depends on kubeflow-preprocessor, kubeflow-trainer, kubeflow-pipeline
16 directories, 14 files
https://www.kubeflow.org/docs/components/pipelines/sdk/sdk-overview/ https://gist.github.com/netj/8836201#file-iris-csv