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Added release notes for v1.5 release and updated version info (#5151)
* Added release notes for v1.5 release and updated version info * Added PR info for Onnx version update * Addressed code review comments
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| # [ML.NET](http://dot.net/ml) 1.5.0 | ||
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| ## **New Features** | ||
| - **New anomaly detection algorithm** ([#5135](https://github.com/dotnet/machinelearning/pull/5135)). ML.NET has previously supported anomaly detection through [DetectAnomalyBySrCnn](https://docs.microsoft.com/en-us/dotnet/api/microsoft.ml.timeseriescatalog.detectanomalybysrcnn?view=ml-dotnet). 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](https://github.com/dotnet/machinelearning/pull/4925)) ML.NET now also supports root cause detection for anomalies detected in time series data. | ||
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| ## **Enhancements** | ||
| - **Updates to TextLoader** | ||
| - Enable TextLoader to accept new lines in quoted fields ([#5125](https://github.com/dotnet/machinelearning/pull/5125)) | ||
| - Add escapeChar support to TextLoader ([#5147](https://github.com/dotnet/machinelearning/pull/5147)) | ||
| - Add public generic methods to TextLoader catalog that accept Options objects ([#5134](https://github.com/dotnet/machinelearning/pull/5134)) | ||
| - Added decimal marker option in TextLoader ([#5145](https://github.com/dotnet/machinelearning/pull/5145), [#5154](https://github.com/dotnet/machinelearning/pull/5154)) | ||
| - Onnxruntime updated to v1.3 ([#5104](https://github.com/dotnet/machinelearning/pull/5104)). This brings support for additional data types for the HashingEstimator. | ||
| - Onnx export for OneHotHashEncodingTransformer and HashingTransormer ([#5013](https://github.com/dotnet/machinelearning/pull/5013), [#5152](https://github.com/dotnet/machinelearning/pull/5152), [#5138](https://github.com/dotnet/machinelearning/pull/5138)) | ||
| - Support for Categorical features in CalculateFeatureContribution of LightGBM ([#5018](https://github.com/dotnet/machinelearning/pull/5018)) | ||
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| ## **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](https://github.com/dotnet/machinelearning/pull/4950)) | ||
| - Fix SsaForecast bug ([#5023](https://github.com/dotnet/machinelearning/pull/5023)) | ||
| - Fixed x86 crash ([#5081](https://github.com/dotnet/machinelearning/pull/5081)) | ||
| - Fixed and added unit tests for EnsureResourceAsync hanging issue ([#4943](https://github.com/dotnet/machinelearning/pull/4943)) | ||
| - Added IDisposable support for several classes ([#4939](https://github.com/dotnet/machinelearning/pull/4939)) | ||
| - Updated libmf and corresponding MatrixFactorizationSimpleTrainAndPredict() baselines per build ([#5121](https://github.com/dotnet/machinelearning/pull/5121)) | ||
| - Fix MatrixFactorization trainer's warning ([#5071](https://github.com/dotnet/machinelearning/pull/5071)) | ||
| - Update CodeGenerator's console project to netcoreapp3.1 ([#5066](https://github.com/dotnet/machinelearning/pull/5066)) | ||
| - Let ImageLoadingTransformer dispose the last image it loads ([#5056](https://github.com/dotnet/machinelearning/pull/5056)) | ||
| - [LightGBM] Fixed bug for empty categorical values ([#5048](https://github.com/dotnet/machinelearning/pull/5048)) | ||
| - Converted potentially large variables to type long ([#5041](https://github.com/dotnet/machinelearning/pull/5041)) | ||
| - Made resource downloading more robust ([#4997](https://github.com/dotnet/machinelearning/pull/4997)) | ||
| - Updated MultiFileSource.Load to fix inconsistent behavior with multiple files ([#5003](https://github.com/dotnet/machinelearning/pull/5003)) | ||
| - Removed WeakReference<IHosts> already cleaned up by GC ([#4995](https://github.com/dotnet/machinelearning/pull/4995)) | ||
| - Fixed Bitmap(file) locking the file. ([#4994](https://github.com/dotnet/machinelearning/pull/4994)) | ||
| - Remove WeakReference list in PredictionEnginePoolPolicy. ([#4992](https://github.com/dotnet/machinelearning/pull/4992)) | ||
| - Added the assembly name of the custom transform to the model file ([#4989](https://github.com/dotnet/machinelearning/pull/4989)) | ||
| - Updated constructor of ImageLoadingTransformer to accept empty imageFolder paths ([#4976](https://github.com/dotnet/machinelearning/pull/4976)) | ||
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| **Onnx bug fixes** | ||
| - ColumnSelectingTransformer now infers ONNX shape ([#5079](https://github.com/dotnet/machinelearning/pull/5079)) | ||
| - Fixed KMeans scoring differences between ORT and OnnxRunner ([#4942](https://github.com/dotnet/machinelearning/pull/4942)) | ||
| - CountFeatureSelectingEstimator no selection support ([#5000](https://github.com/dotnet/machinelearning/pull/5000)) | ||
| - Fixes OneHotEncoding Issue ([#4974](https://github.com/dotnet/machinelearning/pull/4974)) | ||
| - Fixes multiclass logistic regression ([#4963](https://github.com/dotnet/machinelearning/pull/4963)) | ||
| - Adding vector tests for KeyToValue and ValueToKey ([#5090](https://github.com/dotnet/machinelearning/pull/5090)) | ||
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| **AutoML fixes** | ||
| - Handle NaN optimization metric in AutoML ([#5031](https://github.com/dotnet/machinelearning/pull/5031)) | ||
| - Add projects capability in CodeGenerator ([#5002](https://github.com/dotnet/machinelearning/pull/5002)) | ||
| - Simplify CodeGen - phase 2 ([#4972](https://github.com/dotnet/machinelearning/pull/4972)) | ||
| - Support sweeping multiline option in AutoML ([#5148](https://github.com/dotnet/machinelearning/pull/5148)) | ||
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| ## **Test updates** | ||
| - Fix libomp installation for MacOS Builds([#5143](https://github.com/dotnet/machinelearning/pull/5143), [#5141](https://github.com/dotnet/machinelearning/pull/5141)) | ||
| - address TF test download fail, use resource manager with retry download ([#5102](https://github.com/dotnet/machinelearning/pull/5102)) | ||
| - Adding OneHotHashEncoding Test ([#5098](https://github.com/dotnet/machinelearning/pull/5098)) | ||
| - Changed Dictionary to ConcurrentDictionary ([#5097](https://github.com/dotnet/machinelearning/pull/5097)) | ||
| - Added SQLite database to test loading of datasets in non-Windows builds ([#5080](https://github.com/dotnet/machinelearning/pull/5080)) | ||
| - Added ability to compare configuration specific baselines, updated baslines for many tests and re-enabled disabled tests ([#5045](https://github.com/dotnet/machinelearning/pull/5045), [#5059](https://github.com/dotnet/machinelearning/pull/5059), [#5068](https://github.com/dotnet/machinelearning/pull/5068), [#5057](https://github.com/dotnet/machinelearning/pull/5057), [#5047](https://github.com/dotnet/machinelearning/pull/5047), [#5029](https://github.com/dotnet/machinelearning/pull/5029), [#5094](https://github.com/dotnet/machinelearning/pull/5094), [#5060](https://github.com/dotnet/machinelearning/pull/5060)) | ||
| - Fixed TestCancellation hanging ([#4999](https://github.com/dotnet/machinelearning/pull/4999)) | ||
| - fix benchmark test hanging issue ([#4985](https://github.com/dotnet/machinelearning/pull/4985)) | ||
| - Added working version of checking whether file is available for access ([#4938](https://github.com/dotnet/machinelearning/pull/4938)) | ||
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| ## **Documentation Updates** | ||
| - Update OnnxTransformer Doc XML ([#5085](https://github.com/dotnet/machinelearning/pull/5085)) | ||
| - Updated build docs for .NET Core 3.1 ([#4967](https://github.com/dotnet/machinelearning/pull/4967)) | ||
| - Updated OnnxScoringEstimator's documentation ([#4966](https://github.com/dotnet/machinelearning/pull/4966)) | ||
| - Fix xrefs in the LDSVM trainer docs ([#4940](https://github.com/dotnet/machinelearning/pull/4940)) | ||
| - Clarified parameters on time series ([#5038](https://github.com/dotnet/machinelearning/pull/5038)) | ||
| - Update ForecastBySsa function specifications and add seealso ([#5027](https://github.com/dotnet/machinelearning/pull/5027)) | ||
| - Add see also section to TensorFlowEstimator docs ([#4941](https://github.com/dotnet/machinelearning/pull/4941)) | ||
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| ## **Breaking Changes** | ||
| - None | ||
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