First, you need to install base Kedro package in
Kedro 17.0 is supported by kedro-kubeflow, but not by kedro-mlflow yet, so the latest version from 0.16 family is recommended.
$ pip install 'kedro<0.17'
Install from PyPI
You can install
kedro-kubeflow plugin from
pip install --upgrade kedro-kubeflow
Install from sources
You may want to install the develop branch which has unreleased features:
pip install git+https://github.com/getindata/kedro-kubeflow.git@develop
You can check available commands by going into project directory and runnning:
$ kedro kubeflow Usage: kedro kubeflow [OPTIONS] COMMAND [ARGS]... Interact with Kubeflow Pipelines Options: -e, --env TEXT Environment to use. -h, --help Show this message and exit. Commands: compile Translates Kedro pipeline into YAML file with Kubeflow... init Initializes configuration for the plugin list-pipelines List deployed pipeline definitions run-once Deploy pipeline as a single run within given experiment. schedule Schedules recurring execution of latest version of the... ui Open Kubeflow Pipelines UI in new browser tab upload-pipeline Uploads pipeline to Kubeflow server
init command takes one argument (that is the kubeflow pipelines root url) and generates sample configuration file in
conf/base/kubeflow.yaml. The YAML file content is described in the Configuration section.
ui command opens a web browser pointing to the currently configured Kubeflow Pipelines UI. It’s super useful for debugging, especially while working on multiple Kubeflow installations.
list-pipelines uses Kubeflow Pipelines to retrieve all registered pipelines
compile transforms Kedro pipeline into Argo workflow (Argo is the engine that powers Kubeflow Pipelines). The resulting
yaml file can be uploaded to Kubeflow Pipelines via web UI.
upload-pipeline compiles the pipeline and uploads it as a new pipeline version. The pipeline name is equal to the project name for simplicity.
schedule creates recurring run of the previously uploaded pipeline. The cron expression (required parameter) is used to define at what schedule the pipeline should run.
run-once is all-in-one command to compile the pipeline and run it in the Kubeflow environment.