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Update definition of maxFailedTrialCount #3275

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Jun 8, 2022
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Update definition of maxFailedTrialCount #3275

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8 changes: 4 additions & 4 deletions content/en/docs/components/katib/experiment.md
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Expand Up @@ -115,10 +115,10 @@ These are the fields in the experiment configuration spec:
experiment will be running until the objective goal is reached or the experiment
reaches a maximum number of failed trials.

- **maxFailedTrialCount**: The maximum number of failed trials before Katib
should stop the experiment. This is equivalent to the number of failed
hyperparameter sets that Katib should test.
If the number of failed trials exceeds `maxFailedTrialCount`, Katib stops the
- **maxFailedTrialCount**: The maximum number of trials allowed to fail.
This is equivalent to the number of failed hyperparameter sets that Katib should test.
Katib recognizes trials with a status of `Failed` or `MetricsUnavailable` as `Failed` trials,
and if the number of failed trials reaches `maxFailedTrialCount`, Katib stops the
experiment with a status of `Failed`.

- **algorithm**: The search algorithm that you want Katib to use to find the
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