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Regression

All regressors implement IRegressionModel.

📈 Linear​

Class: Linear

Hyperparameters:

  • LearningRate
  • FitIntercept

🔷 Ridge Regression (L2)​

Class: Ridge

Hyperparameters:

  • Alpha
  • FitIntercept

✂️ Lasso Regression (L1)​

Class: Lasso

Hyperparameters:

  • Alpha
  • MaxIterations

🔗 Elastic Net (L1 + L2)​

Class: ElasticNet

Hyperparameters:

  • Lambda
  • L1Ratio

➡️ Support Vector Regression (Linear)​

Class: LinearSVR

Hyperparameters:

  • C
  • Epsilon
  • LearningRate
  • Epochs

🎯 Support Vector Regression (Kernel)​

Class: KernelSVR

Hyperparameters:

  • C
  • LearningRate
  • Epochs
  • Kernel
  • Gamma
  • Degree

🧠 Multilayer Perceptron (Regressor)​

Class: MLPRegressor

Hyperparameters:

  • HiddenLayers
  • LearningRate
  • Epochs
  • BatchSize
  • L2
  • Activation