Training time finished without completing a successful trial. Either no trial completed or the metric for all completed trials are NaN or Infinity
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- csharp
- Domain
- machine-learning
Research direction
Start at src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/LocalImageClassificationExperiment.cs line 114 and trace the call through AutoMLExperiment.RunAsync to src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs line 178. Reproduce the image-classification training failure and determine why no completed trial has a finite metric. Done means training completes with at least one successful trial and a finite metric.
Written by the indexing model from the issue text.
Description
at Microsoft.ML.AutoML.AutoMLExperiment.RunAsync(CancellationToken ct)
at Microsoft.ML.ModelBuilder.AutoMLService.LocalImageClassificationExperiment.ExecuteAsync(IDataView trainData, IDataView validateData, CancellationToken ct) in //src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/LocalImageClassificationExperiment.cs:line 114
at Microsoft.ML.ModelBuilder.AutoMLEngine.StartTrainingAsync(ITrainingConfiguration config, PathConfiguration pathConfig, CancellationToken userCancellationToken) in //src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 178
- Dominant language
- Dockerfile
- Stars
- 285
- Forks
- 66
- PR merge metrics
- No merged PRs in 30d
Getting set up
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First steps
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- Open a pull request that references the issue number.
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