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Closed Oct 27, 2025
Due by November 1, 2023
•Closed Work planned for ML.NET 3.0 release (November 2023)
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[AutoML API] API Suggestions
AutoML.NETAutomating various steps of the machine learning processAutomating various steps of the machine learning processenhancementNew feature or requestNew feature or requestStatus: Open.#6304 In dotnet/machinelearning;- Status: Open.#6380 In dotnet/machinelearning;
AutoML Featurizer handling of label column
enhancementNew feature or requestNew feature or requestStatus: Open.#6400 In dotnet/machinelearning;Document default values of TrainerOptions
documentationRelated to documentation of ML.NETRelated to documentation of ML.NETenhancementNew feature or requestNew feature or requestStatus: Open.#6450 In dotnet/machinelearning;KMeans cluster analysis is non-deterministic when using KMeansYinyang initialization, even with fixed MLContext seed
bugSomething isn't workingSomething isn't workinghelp wantedExtra attention is neededExtra attention is neededStatus: Open.#6375 In dotnet/machinelearning;Let ML.NET cancel unmanaged code.
AutoML.NETAutomating various steps of the machine learning processAutomating various steps of the machine learning processenhancementNew feature or requestNew feature or requestlightgbmBugs related lightgbmBugs related lightgbmStatus: Open.#6465 In dotnet/machinelearning;- Status: Open.#6401 In dotnet/machinelearning;
Convert TrialResult to DataFrame
AutoML.NETAutomating various steps of the machine learning processAutomating various steps of the machine learning processenhancementNew feature or requestNew feature or requestStatus: Open.#6294 In dotnet/machinelearning;AutoML Tracking Issue
AutoML.NETAutomating various steps of the machine learning processAutomating various steps of the machine learning processenhancementNew feature or requestNew feature or requestEpicHigh-level theme containing smaller storiesHigh-level theme containing smaller storiesStatus: Open.#6514 In dotnet/machinelearning;Microsoft.Data.Analysis DataFrame.Join infinite loop
bugSomething isn't workingSomething isn't workingMicrosoft.Data.AnalysisAll DataFrame related issues and PRsAll DataFrame related issues and PRsStatus: Open.#6128 In dotnet/machinelearning;Microsoft.Data.Analysis.DataFrame Join should produce a result with a single joined column
enhancementNew feature or requestNew feature or requestMicrosoft.Data.AnalysisAll DataFrame related issues and PRsAll DataFrame related issues and PRsP2Priority of the issue for triage purpose: Needs to be fixed at some point.Priority of the issue for triage purpose: Needs to be fixed at some point.Status: Open.#6133 In dotnet/machinelearning;Validation of Onnx input using ApplyOnnxModel
onnxExporting ONNX models or loading ONNX modelsExporting ONNX models or loading ONNX modelsP2Priority of the issue for triage purpose: Needs to be fixed at some point.Priority of the issue for triage purpose: Needs to be fixed at some point.Status: Open.#6067 In dotnet/machinelearning;The examples on this page do not feature the NormalizeRobustScaling class to which the page is dedicated.
documentationRelated to documentation of ML.NETRelated to documentation of ML.NETP3Doc bugs, questions, minor issues, etc.Doc bugs, questions, minor issues, etc.Status: Open.#6479 In dotnet/machinelearning;- Status: Open.#6329 In dotnet/machinelearning;
RegressionEvaluator return 0 for MSE && RMSE if all scores are NaN
regressionBugs related regression tasksBugs related regression tasksStatus: Open.#6361 In dotnet/machinelearning;NaiveCalibratorOnnxConversionTest test failure in PR vallidation
testrelated to testsrelated to testsStatus: Open.#6483 In dotnet/machinelearning;- Status: Open.#6534 In dotnet/machinelearning;
- Status: Open.#6541 In dotnet/machinelearning;
- Status: Open.#6522 In dotnet/machinelearning;
Error: "Microsoft.ML currently supports 'x64' and 'x86' processor" when target runtime is *linux-arm* or *linux-arm64*
P1Priority of the issue for triage purpose: Needs to be fixed soon.Priority of the issue for triage purpose: Needs to be fixed soon.Status: Open.#6588 In dotnet/machinelearning;Create example for AutoMLExperiment in api doc.
documentationRelated to documentation of ML.NETRelated to documentation of ML.NETenhancementNew feature or requestNew feature or requestP3Doc bugs, questions, minor issues, etc.Doc bugs, questions, minor issues, etc.Status: Open.#6589 In dotnet/machinelearning;See for example - no link for example
AutoML.NETAutomating various steps of the machine learning processAutomating various steps of the machine learning processgood first issueGood for newcomersGood for newcomersP3Doc bugs, questions, minor issues, etc.Doc bugs, questions, minor issues, etc.Status: Open.#6556 In dotnet/machinelearning;Add Intersection Over Union (IoU)
enhancementNew feature or requestNew feature or requestP2Priority of the issue for triage purpose: Needs to be fixed at some point.Priority of the issue for triage purpose: Needs to be fixed at some point.Status: Open.#6609 In dotnet/machinelearning;High amount GC gen2 delays with ONNX models converted to ML.Net
onnxExporting ONNX models or loading ONNX modelsExporting ONNX models or loading ONNX modelsperfPerformance and Benchmarking relatedPerformance and Benchmarking relatedStatus: Open.#6620 In dotnet/machinelearning;Replace <PackageLicenseFile> with <PackageLicenseExpression>
BuildBuild related issueBuild related issueenhancementNew feature or requestNew feature or requestStatus: Open.#6645 In dotnet/machinelearning;