![]() ![]() Cons: if the ONNX export of this transform will not include the noise part (which it likely won't), then this will result in a model that gives different results in the ML.NET format and in the ONNX format.Pros: easy solution for fitting a pipeline that has a trainer after the Dracula transform without having to split into two pipelines and training each part on a different dataset.Leaving the computation as it is right now.The two possible solutions as I see it are: ![]() c/Microsoft.ML.Data/DataLoadSave/EstimatorChain.cs rc/Microsoft.ML.Transforms/Dracula/CMCountTable.cs Src/Microsoft.ML.Transforms/Dracula/Featurizer.cs ansforms/Dracula/CountTargetEncodingTransformer.cs crosoft.ML.Transforms/Dracula/CountTableBuilder.cs oft.ML.Transforms/Dracula/CountTableTransformer.cs Microsoft.ML.Transforms/Dracula/MultiCountTable.cs Src/Microsoft.ML.Transforms/Dracula/CountTable.cs Test/Microsoft.ML.TestFramework/TestCommandBase.cs ![]()
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