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docs/release-notes/1.5.5/release-1.5.5.md

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## **New Features**
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- **New API allowing confidence parameter to be a double**.([#5623](https://github.com/dotnet/machinelearning/pull/5623))
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. A new API has been added to accept double type for the confidence level. This helps when you need to have high precision then an int will allow for. (**Thank you @esso23**)
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. A new API has been added to accept double type for the confidence level. This helps when you need to have higher precision than an int will allow for. (**Thank you @esso23**)
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- **Support to export ValueMapping estimator to ONNX was added** ([#5577](https://github.com/dotnet/machinelearning/pull/5577))
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- **New API to treat TensorFlow output as batched/not-batched** ([#5634](https://github.com/dotnet/machinelearning/pull/5634)) A new API has been added so you can specify if the output from TensorFlow is batched or not.
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## **Bug Fixes**
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- **AutoML.NET specific fixes**.
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- Fixed am AutoML aggregate timeout exception ([#5631](https://github.com/dotnet/machinelearning/pull/5631))
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- Fixed an AutoML aggregate timeout exception ([#5631](https://github.com/dotnet/machinelearning/pull/5631))
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- Offer suggestions for possibly mistyped label column names in AutoML ([#5624](https://github.com/dotnet/machinelearning/pull/5624)) (**Thank you @Crabzmatic**)
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- Update some ToString conversions ([#5627](https://github.com/dotnet/machinelearning/pull/5627)) (**Thanks @4201104140**)
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- Fixed an issue in SRCnnEntireAnomalyDetector ([#5579](https://github.com/dotnet/machinelearning/pull/5579))

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