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ScaryLeopard77
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4 Questions, 6 Answers
  Active since 10 January 2023
  Last activity one year ago

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6 × Eureka!
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2 years ago
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2 years ago
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Hey, has any of you have experience with setting up authentication when self-hosting ClearML on Kubernetes? I found only https://clear.ml/docs/latest/docs/de...
2 years ago
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2 years ago
0 Hey, I Have A Question Regarding Pipelines. Let'S Say I Have 2 Scripts: Train.Py And Evaluate.Py. Each Of Them Creates A Task Using Task.Init And Logs Some Information. These Scripts Are Run Independently (In My Case They Are Run By Dvc). I Would Like Bot

I kind of understand the first step -> create the pipeline task, keep it in draft state and save its ID. How do you though pass the ID to the following tasks and have them report to the pipeline (parent) task?

2 years ago
0 Hey, I Have A Question Regarding Pipelines. Let'S Say I Have 2 Scripts: Train.Py And Evaluate.Py. Each Of Them Creates A Task Using Task.Init And Logs Some Information. These Scripts Are Run Independently (In My Case They Are Run By Dvc). I Would Like Bot

Hi AgitatedDove14 .
That way I loose some execution information, only the execution information from last Task stays logged. That's why I want to keep it as separate tasks under a single pipeline.

2 years ago
0 Hey, I Have A Question Regarding Pipelines. Let'S Say I Have 2 Scripts: Train.Py And Evaluate.Py. Each Of Them Creates A Task Using Task.Init And Logs Some Information. These Scripts Are Run Independently (In My Case They Are Run By Dvc). I Would Like Bot

The idea is that I first call script start_new_pipeline.py , which should just create the pipeline and then I call scripts train_pipeline.py and evaluate_pipeline.py which contain the tasks that should belong to the pipeline. However I don't know how start_new_pipeline.py should look like so that the following tasks would belong the created pipeline.

2 years ago