- AutoML Sweepable API (#5993) - [x] implementation (#6285) - [x] make it public (#6173) - [x] documents - [x] [sweepable pipeline](https://github.com/dotnet/machinelearning/pull/6218) - [ ] code example - [x] jupyter notebook example - [forecast using ssa](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%20SSA%20with%20Luna%20Dataset.ipynb) - [automl sweepable api](https://github.com/dotnet/csharp-notebooks/pull/69#pullrequestreview-1119018464) - AutoML Featurizer API (#6187) - [x] implementation (#6205) (#6261) - [x] make it public - [x] documents - [ ] code example - [x] image classification with image featurizer - [x] jupyter notebook example - [x] [regression with taxi fare](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Regression%20with%20Taxi%20Dataset.ipynb) - [x] [classification with titanic](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Kaggle%20with%20Titanic%20Dataset.ipynb) - AutoML Experiment API (#6118 ) - [x] implementation - [x] make it pubic (#6173) - [x] documents [#6589] - [ ] code example - [x] jupyter notebook example - [titanic](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Kaggle%20with%20Titanic%20Dataset.ipynb) - [taxi-fare](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Regression%20with%20Taxi%20Dataset.ipynb) - [iris](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Classification%20with%20Iris%20Dataset.ipynb) - [luna forecasting using regression](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%20Regression%20with%20Luna%20Dataset.ipynb) - needs more - [ ] reimplement existing experiment using AutoML Experiment API - [x] BinaryExperiment (#6246) - [x] Multiclass Experiment (#6270) - [x] Regression (#6338) - [ ] Recommendation - [ ] Ranking - AutoML Advance Feature - [x] continue training [#6335] - [x] exit strategy [#6402 ] - [x] limit resource (CPU/memory) [#6305]
AutoML Sweepable API (Proposal: Sweepable API #5993)
AutoML Featurizer API (add auto featurizer api #6187)
AutoML Experiment API (Proposal: Experiment API #6118 )
AutoML Advance Feature