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Commits on Feb 16, 2025

• .editorconfig: Update .editorconfig and add Roslynator.Analyzers/.Formatting.Analyzers (#159)

  mdabros

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Commits on Feb 15, 2025

• dotnet.yml: Use auto versioning via nerdbank.gitversioning, and update CI pipeline with release pipeline (#158)

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Commits on Feb 9, 2025

• Code analysis: Add editorconfig and fix code according to rules (#150)

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Commits on Apr 13, 2024

• 0.31.10: CI: Use MSTest 3.3.1 (single meta package reference) (#153)

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Commits on Jan 21, 2024

• Add .props and .targets to reduce duplication in project files (#149)

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Commits on Jan 20, 2024

• Disable code coverage and fix license name (#148)

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• Target netstandard2.0 for libraries, target net8 for tests, and switch to github actions for CI (#147)

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Commits on Jul 12, 2020

• 0.31.8.0: Ensure deterministic order of results from multithreaded optimizers (#131)

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Commits on Oct 26, 2019

• 0.31.7.0: Refactor BaysianOptimizer and add parallel computation (#128)

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• Fix typo in comment: DropoutLayer, SoftMaxLayer. Misspelled gradients (#127)

  

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Commits on Oct 25, 2019

• Adds parellelism to Bayesian optimizer by default and adds support for non-deterministic algorithms (release postponed, so no version incrementation) (#119)

  

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Commits on Oct 12, 2019

• 0.31.6.0: Adds implicit and explicit conversions from double[][] to F64Matrix (#124)

  

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Commits on Oct 9, 2019

• 0.31.5.0: Add sigmoid activation function (#126)

  

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Commits on Jul 29, 2019

• 0.31.4.0: Add CrossValidationUtilities.GetKFoldCrossValidationIndexSets, Refactor CrossValidation. (#117)

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Commits on Jun 26, 2019

• 0.31.3.0: Update code style, line length, member order, etc. (#111)

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Commits on Jun 23, 2019

• 0.31.2.0: Make SharpLearning.Neural support .net core 2.0/.net standard 2.0 (update mathnet numerics to latest version (.NETStandard 2.0 compatible) ) (#110)

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• Update azure pipelines badge

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• Add azure pipelines yaml configuration (#109)

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Commits on Mar 3, 2019

• 0.31.1.0: Add SmacOptimizer, update argument names on HyperbandOptimizer and BayesianOptimizer, clean up SharpLearning.Optimization.Test project (#104)

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Commits on Feb 24, 2019

• 0.31.0.0: Make individual Tree models public on ForestModels. This is a breaking change. Also clean up SharpLearning.RandomForest.Test (#102)

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• Remove resources and add culture initialiser for test projects (#103)

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Commits on Feb 3, 2019

• 0.30.2: Add HyperbandOptimizer.OptimizeBest method (#100)

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• Add hyperband to the list of optimizers

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• 0.30.1.0: Add HyperbandOptimizer, and update test adapters (#99)

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Commits on Jan 20, 2019

• 0.30.0: Optimizers Optimize method returns unfiltered results in chronological order (#97)

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• 0.29.1: Rename logarithmic transform to Log10 transform, and release contribution of parallel ParticleSwarm and parallel GlobalizedBoundedNelderMeadOptimizer. (#96)

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• Unpublished (changes will be published in a separate PR) : Adds parellelism to Particle Swarm optimizer, Adds configurable maxim… (#95)

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Commits on Dec 2, 2018

• 0.29.0: Add IParameterSpec to SharpLearning.Optimization (#92)

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Commits on Dec 1, 2018

• 0.28.5.0: Add serializable feature transforms (#91)

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Commits on Aug 17, 2018

• 0.28.4: Add overload for CsvRowExtensions.ToF64Matrix and ToF64Vector, to support other converters (#86)

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Commits on Jul 12, 2018

• Add check to GBMDecisionTreeLearner so we wont use more features than we can (#81)

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  LarsPellarin

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Commits on Jul 4, 2018

• Implement Coefficient of Determination (r-squared) metric (#74)

  

  AndreiDegtiarev

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Commits on May 27, 2018

• Add ParameterType to optimization ParameterBound (#73)

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Commits on May 22, 2018

• Add proper optimizer seeding to all optimizers in SharpLearning.Optimization (#72)

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• Increment version to test package deployment

  

  Mads Dabros

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