AutoML.Net improvements tracking down list #6145

AutoML Sweepable API (Proposal: Sweepable API #5993)

• implementation (Use SweepablePipeline #6285)
• make it public (make AutoMLExperiment public && some small refactor #6173)
• documents
  • sweepable pipeline
• code example
• jupyter notebook example
  • forecast using ssa
  • automl sweepable api

AutoML Featurizer API (add auto featurizer api #6187)

• implementation (implement auto featurizer #6205) (add image featurizer to AutoFeaturizer #6261)
• make it public
• documents
• code example
  • image classification with image featurizer
• jupyter notebook example
  • regression with taxi fare
  • classification with titanic

AutoML Experiment API (Proposal: Experiment API #6118 )

• implementation
• make it pubic (make AutoMLExperiment public && some small refactor #6173)
• documents [Create example for AutoMLExperiment in api doc. #6589]
• code example
• jupyter notebook example
  • titanic
  • taxi-fare
  • iris
  • luna forecasting using regression
  • needs more
• reimplement existing experiment using AutoML Experiment API
  • BinaryExperiment (reimplement binary experiment using AutoMLExperiment #6246)
  • Multiclass Experiment (improve multiclassification using AutoMLExperiment #6270)
  • Regression (Improve RegressionExpeirment using AutoMLExperiment #6338)
  • Recommendation
  • Ranking

AutoML Advance Feature

• continue training [Add ITrialResultManager for continue training in AutoML #6335]
• exit strategy [Add MaxModelToExplore exit strategy to AutoMLExperiment. #6402 ]
• limit resource (CPU/memory) [Add SetMaximumMemoryUsageInMegaByte in AutoMLExperiment #6305]