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ML.NET 1.5.2

docs/release-notes/1.5.2/release-1.5.2.md

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ML.NET 1.5.2

New Features

  • New API and algorithms for time series data. In this release ML.NET introduces new capabilities for working with time series data.
    • Detecting seasonality in time series (#5231)
    • Removing seasonality from time series prior to anomaly detection (#5202)
    • Threshold for root cause analysis (#5218)
    • RCA for anomaly detection can now return multiple dimensions(#5236)
  • Ranking experiments in AutoML.NET API. ML.NET now adds support for automating ranking experiments. (#5150, #5246) Corresponding support will soon be added to Model Builder in Visual Studio.
  • Cross validation support in ranking (#5263)
  • CountTargetEncodingEstimator. This transforms a categorical column into a set of features that includes the count of each label class, the log-odds for each label class and the back-off indicator (#4514)

Enhancements

  • Onnx Enhancements
    • Support more types for ONNX export of HashEstimator (#5104)
    • Added ONNX export support for NaiveCalibrator (#5289)
    • Added ONNX export support for StopWordsRemovingEstimator and CustomStopWordsRemovingEstimator (#5279)
    • Support onnx export with previous OpSet version (#5176)
    • Added a sample for Onnx conversion (#5195)
  • New features in old transformers
    • Robust Scaler now added to the Normalizer catalog (#5166)
    • ReplaceMissingValues now supports Mode as a replacement method. (#5205)
    • Added in standard conversions to convert types to string (#5106)
  • Output topic summary to model file for LDATransformer (#5260)
  • Use Channel Instead of BufferBlock (#5123, #5313). (Thanks @jwood803)
  • Support specifying command timeout while using the database loader (#5288)
  • Added cross entropy support to validation training, edited metric reporting (#5255)
  • Allow TextLoader to load empty float/double fields as NaN instead of 0 (#5198)

Bug Fixes

  • Changed default value of RowGroupColumnName from null to GroupId (#5290)
  • Updated AveragedPerceptron default iterations from 1 to 10 (#5258)
  • Properly normalize column names in Utils.GetSampleData() for duplicate cases (#5280)
  • Add two-variable scenario in Tensor shape inference for TensorflowTransform (#5257)
  • Fixed score column name and order bugs in CalibratorTransformer (#5261)
  • Fix for conditional error in root cause analysis additions (#5269)
  • Ensured Sanitized Column Names are Unique in AutoML CLI (#5177)
  • Ensure that the graph is set to be the current graph when scoring with multiple models (#5149)
  • Uniform onnx conversion method when using non-default column names (#5146)
  • Fixed multiple issues related to splitting data. (#5227)
  • Changed default NGram length from 1 to 2. (#5248)
  • Improve exception msg by adding column name (#5232)
  • Use model schema type instead of class definition schema (#5228)
  • Use GetRandomFileName when creating random temp folder to avoid conflict (#5229)
  • Filter anomalies according to boundaries under AnomalyAndMargin mode (#5212)
  • Improve error message when defining custom type for variables (#5114)
  • Fixed OnnxTransformer output column mapping. (#5192)
  • Fixed version format of built packages (#5197)
  • Improvements to "Invalid TValue" error message (#5189)
  • Added IDisposable to OnnxTransformer and fixed memory leaks (#5348)
  • Fixes #4392. Added AddPredictionEnginePool overload for implementation factory (#4393)
  • Updated codegen to make it work with mlnet 1.5 (#5173)
  • Updated codegen to support object detection scenario. (#5216)
  • Fix issue #5350, check file lock before reload model (#5351)
  • Improve handling of infinity values in AutoML.NET when calculating average CV metrics (#5345)
  • Throw when PCA generates invalid eigenvectors (#5349)
  • RobustScalingNormalizer entrypoint added (#5310)
  • Replace whitelist terminology to allow list (#5328) (Thanks @LetticiaNicoli)
  • Fixes (#5352) issues caused by equality with non-string values for root cause localization (#5354)
  • Added catch in R^2 calculation for case with few samples (#5319)
  • Added support for RankingMetrics with CrossValSummaryRunner (#5386)

Test updates

  • Refactor of OnnxConversionTests.cs (#5185)
  • New code coverage (#5169)
  • Test fix using breastcancel dataset and test cleanup (#5292)

Documentation Updates

  • Updated ORT version info for OnnxScoringEstimator (#5175)
  • Updated OnnxTransformer docs (#5296)
  • Improve VectorTypeAttribute(dims) docs (#5301)

Breaking Changes

  • None