| Package | Description |
|---|---|
| smile.feature |
Feature generation, normalization and selection.
|
| smile.regression |
Regression analysis.
|
| smile.validation |
Model validation.
|
| Class and Description |
|---|
| RegressionTrainer
Abstract regression model trainer.
|
| Class and Description |
|---|
| GaussianProcessRegression
Gaussian Process for Regression.
|
| GradientTreeBoost
Gradient boosting for regression.
|
| GradientTreeBoost.Loss
Regression loss function.
|
| LASSO
Least absolute shrinkage and selection operator.
|
| OLS
Ordinary least squares.
|
| RandomForest
Random forest for regression.
|
| RBFNetwork
Radial basis function network.
|
| 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.
|
| RidgeRegression
Ridge Regression.
|
| SVR
Support vector regression.
|
| Class and Description |
|---|
| 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.
|
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