Questions related to the kubeflow pipelines python SDK
The kubeflow pipelines python SDK kfp is used to programmatically interact with kubeflow pipelines and the underlying kubernetes cluster.
Questions tagged [kfp]
34 questions
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How to get the status of a pipeline run within a component, running on Vertex AI?
Previously, using Kubeflow Pipelines SDK v1, the status of a pipeline could be inferred during pipeline execution by passing an Argo placeholder, {{workflow.status}}, to the component, as shown below:
import kfp.dsl as dsl
component_1 =…
Marcus
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How to use kfp Artifact with sklearn?
I'm trying to develop a custom pipeline with kubeflow pipeline (kfp) components inside Vertex AI (Google Cloud Platform). The steps of the pipeline are:
read data from a big query table
create a pandas DataFrame
use the DataFrame to train a K-Means…
Marco Abbatangelo
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Kubeflow sdk - error in client.list_experiments()
I'm following the example in docs (https://www.kubeflow.org/docs/components/pipelines/sdk/connect-api/) but am getting an error when trying to access the experiments or runs (when trying to list and/or create them)
I've port-forwarded…
Tanja du Plessis
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1 answer
What should be used for deployed_model in DeployModelRequest in Vertex AI pipeline?
i am trying to deploy a model in Vertex AI pipeline component using DeployModelRequest. I try to get the model using GetModelRequest
model_name = f'projects/{project}/locations/{location}/models/{model_id}'
model_request =…
schoon
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