dotnet/machinelearning v1.5.4 on GitHub

New Features

New API for exporting models to Onnx. (#5544). A new API has been added to Onnx converter to specify the output columns you care about. This will export a smaller and more performant model in many cases.

Perf improvement for TopK Accuracy and return all topK in Classification Evaluator (#5395) (Thank you @jasallen)
Update OnnxRuntime to 1.6 (#5529)
Updated tensorflow.net to 0.20.0 (#5404)
Added in DcgTruncationLevel to AutoML api and increased default level to 10 (#5433)

AutoML.NET specific fixes.
- Fixed AutoFitMaxExperimentTimeTest (#5506)
- Fixed code generator tests failure (#5520)
- Use Timer and ctx.CancelExecution() to fix AutoML max-time experiment bug (#5445)
- Handled exception during GetNextPipeline for AutoML (#5455)
- Fixed internationalization bug(#5162) in AutoML parameter sweeping caused by culture dependent float parsing. (#5163)
- Fixed MaxModels exit criteria for AutoML unit test (#5471)
- Fixed AutoML CrossValSummaryRunner for TopKAccuracyForAllK (#5548)
Fixed bug in Tensorflow Transforer with handling primitive types (#5547)
Fixed MLNet.CLI build error (#5546)
Fixed memory leaks from OnnxTransformer (#5518)
Fixed memory leak in object pool (#5521)
Fixed Onnx Export for ProduceWordBags (#5435)
Upgraded boundary calculation and expected value calculation in SrCnnEntireAnomalyDetector (#5436)
Fixed SR anomaly score calculation at beginning (#5502)
Improved error message in ColumnConcatenatingEstimator (#5444)
Fixed issue 5020, allow ML.NET to load tf model with primitive input and output column (#5468)
Fixed issue 4322, enable lda summary output (#5260)
Fixed perf regression in ShuffleRows (#5417)
Change the _maxCalibrationExamples default on CalibratorUtils (#5415)

Migrated to Arcade build system that is used my multiple dotnet projects. This will give increased build/CI efficiencies going forward. Updated build instructions can be found in the docs/building folder
Fixed MacOS builds (#5467 and #5457)