|
||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES | |||||||||
See:
Description
| Interface Summary | |
|---|---|
| CapabilityProvider | |
| FormulaProvider | This interface indicates that the model is able to produce a human and machine readable formula which can then be parsed by other programs and used for predictions. |
| Learner | A Learner is an operator that encapsulates the learning step of a machine learning method. |
| Class Summary | |
|---|---|
| AbstractLearner | A Learner is an operator that encapsulates the learning step of a machine learning method. |
| CapabilityCheck | Checks if the the given learner can work on the example set. |
| PredictionModel | PredictionModel is the superclass for all objects generated by learners, i.e. |
| SimpleBinaryPredictionModel | A model that can be applied to an example set by applying it to each example separately. |
| SimplePredictionModel | A model that can be applied to an example set by applying it to each example separately. |
| UpdateablePredictionModel | This is an abstract class for all updateable prediction models. |
Provides learning operators. These receive an example set as input and return a model for predicting the labels of new and unlabelled examples.
|
|
|||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES | |||||||||