regressors

Type Members

1. class BayesRegressor extends Regressor

   

   Bayes regressor

   Bayes regressor

   following https://stats.stackexchange.com/questions/252577/bayes-regression-how-is-it-done-in-comparison-to-standard-regression

   The priors can be set using the priorPars parameter. If left empty, random values will be used. e.g. List(List(2), List(0, 1), List(1, 3)) for a posterior width 2 and Gaussian priors for the intercept (mean 0, sigma 1) and the other weights (mean 1, sigma 3)

2. class DecisionTreeRegressor extends Regressor

   

   Decision tree regressor

3. class LinearRegressor extends Regressor

   

   Linear regressor

4. class NeuralNetworkRegressor extends Regressor

   

   Neural network regressor

5. class RandomRegressor extends Regressor

   

   Random regressor

   Random regressor

   This is a regressor providing random predictions

6. abstract class Regressor extends AnyRef

   

   The base class of all regressors

7. class kNNRegressor extends Regressor

   

   k-nearest neighbors regressor