| GaussianProcessRegression |
Gaussian Process for Regression.
|
| NeuralNetwork |
Multilayer perceptron neural network for regression.
|
| NeuralNetwork.ActivationFunction |
|
| NeuralNetwork.Trainer |
Trainer for neural networks.
|
| OnlineRegression |
Regression model with online learning capability.
|
| RandomForest |
Random forest for regression.
|
| RandomForest.Trainer |
Trainer for random forest.
|
| Regression |
Regression analysis includes any techniques for modeling and analyzing
the relationship between a dependent variable and one or more independent
variables.
|
| RegressionTrainer |
Abstract regression model trainer.
|
| RegressionTree |
Decision tree for regression.
|
| RegressionTree.NodeOutput |
An interface to calculate node output.
|
| RegressionTree.Trainer |
Trainer for regression tree.
|