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Breaking down regression models

While there are several regression model types available in the machine learning eco-system, there are two primary regression models groups: linear and logistic, both of which have rich implementations in ML.NET.

ML.NET provides the following linear regression trainers:

  • FastTreeRegressionTrainer
  • FastTreeTweedieTrainer
  • FastForestRegressionTrainer
  • GamRegressionTrainer
  • LbfgsPoissonRegressionTrainer
  • LightGbmRegressionTrainer
  • OlsTrainer
  • OnlineGradientDescentTrainer
  • SdcaRegressionTrainer

The employee attrition application we will be creating later in this chapter utilizes the linear regression SDCA trainer.

In addition, ML.NET provides the following binary logistic regression trainers:

  • LbfgsLogisticRegressionBinaryTrainer
  • SdcaLogisticRegressionBinaryTrainer
  • SdcaNonCalibratedBinaryTrainer
  • SymbolicSgdLogisticRegressionBinaryTrainer

For the file classification application, we will be utilizing the SDCALogisticRegressionBinaryTrainer model.

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