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ML.NET 1.5.0
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@harishsk harishsk released this 26 May 23:58
v1.5.0
121a999
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New Features

  • New anomaly detection algorithm (#5135). ML.NET has previously supported anomaly detection through DetectAnomalyBySrCnn. This function operates in a streaming manner by computing anomalies around each arriving point and examining a window around it. Now we introduce a new function DetectEntireAnomalyBySrCnn that computes anomalies by considering the entire dataset and also supports the ability to set sensitivity and output margin.
  • Root Cause Detection (#4925) ML.NET now also supports root cause detection for anomalies detected in time series data.

Enhancements

  • Updates to TextLoader
    • Enable TextLoader to accept new lines in quoted fields (#5125)
    • Add escapeChar support to TextLoader (#5147)
    • Add public generic methods to TextLoader catalog that accept Options objects (#5134)
    • Added decimal marker option in TextLoader (#5145, #5154)
  • Onnxruntime updated to v1.3 (#5104). This brings support for additional data types for the HashingEstimator.
  • Onnx export for OneHotHashEncodingTransformer and HashingTransormer (#5013, #5152, #5138)
  • Support for Categorical features in CalculateFeatureContribution of LightGBM (#5018)

Bug Fixes

In this release we have traced down every bug that would occur randomly and sporadically and fixed many subtle bugs. As a result, we have also re-enabled a lot of tests listed in the Test Updates section below.

  • Fixed race condition for test MulticlassTreeFeaturizedLRTest (#4950)
  • Fix SsaForecast bug (#5023)
  • Fixed x86 crash (#5081)
  • Fixed and added unit tests for EnsureResourceAsync hanging issue (#4943)
  • Added IDisposable support for several classes (#4939)
  • Updated libmf and corresponding MatrixFactorizationSimpleTrainAndPredict() baselines per build (#5121)
  • Fix MatrixFactorization trainer's warning (#5071)
  • Update CodeGenerator's console project to netcoreapp3.1 (#5066)
  • Let ImageLoadingTransformer dispose the last image it loads (#5056)
  • [LightGBM] Fixed bug for empty categorical values (#5048)
  • Converted potentially large variables to type long (#5041)
  • Made resource downloading more robust (#4997)
  • Updated MultiFileSource.Load to fix inconsistent behavior with multiple files (#5003)
  • Removed WeakReference already cleaned up by GC (#4995)
  • Fixed Bitmap(file) locking the file. (#4994)
  • Remove WeakReference list in PredictionEnginePoolPolicy. (#4992)
  • Added the assembly name of the custom transform to the model file (#4989)
  • Updated constructor of ImageLoadingTransformer to accept empty imageFolder paths (#4976)

Onnx bug fixes

  • ColumnSelectingTransformer now infers ONNX shape (#5079)
  • Fixed KMeans scoring differences between ORT and OnnxRunner (#4942)
  • CountFeatureSelectingEstimator no selection support (#5000)
  • Fixes OneHotEncoding Issue (#4974)
  • Fixes multiclass logistic regression (#4963)
  • Adding vector tests for KeyToValue and ValueToKey (#5090)

AutoML fixes

  • Handle NaN optimization metric in AutoML (#5031)
  • Add projects capability in CodeGenerator (#5002)
  • Simplify CodeGen - phase 2 (#4972)
  • Support sweeping multiline option in AutoML (#5148)

Test updates

  • Fix libomp installation for MacOS Builds(#5143, #5141)
  • address TF test download fail, use resource manager with retry download (#5102)
  • Adding OneHotHashEncoding Test (#5098)
  • Changed Dictionary to ConcurrentDictionary (#5097)
  • Added SQLite database to test loading of datasets in non-Windows builds (#5080)
  • Added ability to compare configuration specific baselines, updated baslines for many tests and re-enabled disabled tests (#5045, #5059, #5068, #5057, #5047, #5029, #5094, #5060)
  • Fixed TestCancellation hanging (#4999)
  • fix benchmark test hanging issue (#4985)
  • Added working version of checking whether file is available for access (#4938)

Documentation Updates

  • Update OnnxTransformer Doc XML (#5085)
  • Updated build docs for .NET Core 3.1 (#4967)
  • Updated OnnxScoringEstimator's documentation (#4966)
  • Fix xrefs in the LDSVM trainer docs (#4940)
  • Clarified parameters on time series (#5038)
  • Update ForecastBySsa function specifications and add seealso (#5027)
  • Add see also section to TensorFlowEstimator docs (#4941)

Breaking Changes

  • None
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