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Vertex AI Pipelines.\nIt supports translation from Kedro pipeline DSL to [kfp](https://www.kubeflow.org/docs/pipelines/sdk/sdk-overview/) \n(pipelines SDK) and deployment to Vertex AI service with some convenient commands.\n\nThe plugin can be used together with `kedro-docker` to simplify preparation of docker image for pipeline execution.   \n\n## Documentation\n\nFor detailed documentation refer to https://kedro-vertexai.readthedocs.io/\n\n## Usage guide \n\n```\nUsage: kedro vertexai [OPTIONS] COMMAND [ARGS]...\n\n  Interact with Google Cloud Platform :: Vertex AI Pipelines\n\nOptions:\n  -e, --env TEXT  Environment to use.\n  -h, --help      Show this message and exit.\n\nCommands:\n  compile         Translates Kedro pipeline into JSON file with Kubeflow...\n  init            Initializes configuration for the plugin\n  list-pipelines  List deployed pipeline definitions\n  run-once        Deploy pipeline as a single run within given experiment.\n  ui              Open VertexAI Pipelines UI in new browser tab\n```\n\n## Configuration file\n\n`kedro init` generates configuration file for the plugin, but users may want to adjust it to match the run environment \nrequirements. Check documentation for details - [kedro-vertexai.readthedocs.io](https://kedro-vertexai.readthedocs.io/en/latest/source/02_installation/02_configuration.html)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgetindata%2Fkedro-vertexai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgetindata%2Fkedro-vertexai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgetindata%2Fkedro-vertexai/lists"}