|
Class Summary |
| LeastMedSq |
Implements a least median sqaured linear regression utilising the
existing weka LinearRegression class to form predictions.
|
| LinearRegression |
Class for using linear regression for prediction. |
| Logistic |
Second implementation for building and using a multinomial logistic
regression model with a ridge estimator. |
| MultilayerPerceptron |
A Classifier that uses backpropagation to classify instances.
|
| PaceRegression |
Class for building pace regression linear models and using them for
prediction. |
| RBFNetwork |
Class that implements a radial basis function network.
|
| SimpleLinearRegression |
Class for learning a simple linear regression model.
|
| SimpleLogistic |
Class for building a logistic regression model using LogitBoost.
|
| SMO |
Implements John C. |
| SMOreg |
Implements Alex J.Smola and Bernhard Scholkopf sequential minimal optimization
algorithm for training a support vector regression using polynomial
or RBF kernels.
|
| VotedPerceptron |
Implements the voted perceptron algorithm by Freund and
Schapire. |
| Winnow |
Implements Winnow and Balanced Winnow algorithms by
N. |