- #Net framework 4.7 2 silent install generator
- #Net framework 4.7 2 silent install update
- #Net framework 4.7 2 silent install code
#Net framework 4.7 2 silent install code
* added more logic for code generation of class * more refactoring, added first transform
#Net framework 4.7 2 silent install generator
* refactoring and added base abstract classes for trainer generator * removed unneccesary files, renamed files * Initial version of CLI tool for mlnet ( #61) * Enable UnitTests on build server ( #57) * misc fixes & test additions, towards 0.1 release ( #56) It is a simple math function to compare scores (See sample).Īlso templatized the return type for better type safety through out the code. Getting best score is now outside of API implementation. No need to implement a callback to get results back Implementing variety of early stopping criteria (See sample)Įarly discard of models that are no good. * AutoFit return type is now an IEnumerable ( #55)ĪutoFit returns is now an IEnumerable - this enables many good things * Revert "Set Nullable Auto params to null values ( #50)" * Revert "First public api propsal ( #52)" * Revert "Set Nullable Auto params to null values" ( #53) * Set Nullable Auto params to null values ( #50)ġ) Final proposal for 0.1 public API surfaceģ) Splitting train data into train and validate when validation data is nullĤ) Providing end to end samples one each for regression, binaryclassification and multiclass classification
* addded infer columns label name checking * Throw error on incorrect Label name in InferColumns API ( #47) * handle SMAC exception when fewer trees were trained than requested ( #44) * make pipeline object model & other public classes internal ( #43) * transform inferencing concat / ignore fixes ( #41) * removed nfig and have only props mentions the nuget sources * Removing the nfig and have build.props mention the nuget package sources. * fix in BuildPipelineNodePropsLightGbm test, fix / use correct 'newTrainer' variable in PipelneSuggester * misc fixes - fix bug where SMAC returning already-seen values fix param encoding return bug in pipeline object model nit clean-up AutoFit return in pipeline suggester when sweeper has no next proposal null ref fix in public object model pipeline suggester * Ungroup Columns in Column Inference ( #40) * add open-source headers to files other nit clean-ups along the way ( #35) * fix bug where if one pipeline hyperparam optimization converges, run terminates ( #36) * add lightgbm args as nested properties ( #33) * fix categorical transform bug (sometimes categorical features weren't concatenated to final features) add UT transforms add PipelineNode equality & tests to serve as AutoML testing infra
* add basic autofit regression test ( #28) * fix multiclass runs & add multiclass autofit UT ( #27) * add trainer extension tests, & misc fixes ( #23) * unit test additions (including user input validation testing) dead code removal for code coverage (including KDO & associated utils) misc fixes & revs ( #22) * add null check to best pipeline on autofit result * fix dataview take util bug, add dataview skip util, add some UTs to increase code coverage * fix dataview take util bug, add dataview skip util, add some UTs to increase code coverage ( #21) * mark get next pipeline test as ignore for now ( #20)
* get next pipeline API rev - refactor API to consume column dimensions, purpose, type, and name instead of available trainers & transforms ( #19) * make GetNextPipeline API w/ public Pipeline method on PipelineSuggester write GetNextPipeline API test fix public Pipeline object serialization fix header inferencing bug write test utils for fetching datasets ( #18) * add estimator extensions / catalog add ability to go from external to internal pipeline a lot of transform clean-up add back in test proj and get it building refactor trainer ext name mappings * add estimator extensions / catalog add conversion from external to internal pipeline transform clean-up add back in test proj and fix build refactor trainer ext name mappings ( #15) * Create ISSUE_TEMPLATE.md & PULL_REQUEST_TEMPLATE.md ( #12) * Make validation data param mandatory remove GetFirstPipeline sample * Make validation data param mandatory remove GetFirstPipeline sample ( #10) * comment out fast forest trainer, per discussion on ML.NET open issue #1983, for now, to run E2E w/o exceptions ( #7)
#Net framework 4.7 2 silent install update
* make params for MLContext data extensions match ML.NET default names and values update gitignore nit rev for Benchmarking.cs ( #5) * initial code push, no history, test project not in the build so is the internal client * Debug-Intrinsics isn't a valid config, trying windows-圆4