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[Tune] Fix best trial in ProgressReporter with nan #31276

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merged 2 commits into from
Jan 4, 2023

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@Yard1 Yard1 commented Dec 21, 2022

Signed-off-by: Antoni Baum [email protected]

Why are these changes needed?

If a trial reports a metric value of np.nan or similar (which is not vanilla Python None), any comparison made between that value and any other value will return false, thus leading to the nan value being considered the best value for the purpose of determining best trial in TuneReporterBase if it was reported first.

Trial 1 -> np.nan
Trial 2 -> 1

1 > np.nan == False -> np.nan is the best trial

To guard against that issue, we use pd.isnull check which is more general than the is None check used previously.

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@justinvyu justinvyu left a comment

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Looks good! One question: should inf values be filtered out here as well? We currently filter both nan and inf values by default when getting the best trial in the experiment analysis.

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Yard1 commented Dec 21, 2022

Inf values will be handled correctly by the comparison, so I think it is fine to keep them.

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Thanks

@krfricke krfricke merged commit f8a3d7f into ray-project:master Jan 4, 2023
@Yard1 Yard1 deleted the progress_reporter_nan branch January 4, 2023 11:26
AmeerHajAli pushed a commit that referenced this pull request Jan 12, 2023
If a trial reports a metric value of `np.nan` or similar (which is not vanilla Python `None`), any comparison made between that value and any other value will return false, thus leading to the `nan` value being considered the best value for the purpose of determining best trial in `TuneReporterBase` if it was reported first.

```
Trial 1 -> np.nan
Trial 2 -> 1

1 > np.nan == False -> np.nan is the best trial
```

To guard against that issue, we use `pd.isnull` check which is more general than the `is None` check used previously.


Signed-off-by: Antoni Baum <[email protected]>
tamohannes pushed a commit to ju2ez/ray that referenced this pull request Jan 25, 2023
If a trial reports a metric value of `np.nan` or similar (which is not vanilla Python `None`), any comparison made between that value and any other value will return false, thus leading to the `nan` value being considered the best value for the purpose of determining best trial in `TuneReporterBase` if it was reported first.

```
Trial 1 -> np.nan
Trial 2 -> 1

1 > np.nan == False -> np.nan is the best trial
```

To guard against that issue, we use `pd.isnull` check which is more general than the `is None` check used previously.


Signed-off-by: Antoni Baum <[email protected]>
Signed-off-by: tmynn <[email protected]>
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3 participants