adams.flow.transformer.ThreeWayDataTrain
Builds the selected algorithm and forwards a container with the built model.
Flow input/output:
- input: adams.data.container.TensorContainer
- output: adams.flow.container.ThreeWayDataModelContainer
Container information:
- adams.flow.container.ThreeWayDataModelContainer: 
   - Model
   - Train
The logging level for outputting errors and debugging output.
| command-line | -logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> | 
| default | WARNING | 
| min-user-mode | Expert | 
The name of the actor.
| command-line | -name <java.lang.String> | 
| default | ThreeWayDataTrain | 
The annotations to attach to this actor.
| command-line | -annotation <adams.core.base.BaseAnnotation> | 
| default |  | 
If set to true, transformation is skipped and the input token is just forwarded as it is.
| command-line | -skip <boolean> | 
| default | false | 
If set to true, the flow execution at this level gets stopped in case this actor encounters an error; the error gets propagated; useful for critical actors.
| command-line | -stop-flow-on-error <boolean> | 
| default | false | 
| min-user-mode | Expert | 
If enabled, then no errors are output in the console; Note: the enclosing actor handler must have this enabled as well.
| command-line | -silent <boolean> | 
| default | false | 
| min-user-mode | Expert | 
The algorithm to build on the data.
| command-line | -algorithm <nz.ac.waikato.cms.adams.multiway.algorithm.api.AbstractAlgorithm> | 
| default | nz.ac.waikato.cms.adams.multiway.algorithm.PARAFAC -debug false -init-method SVD -num-components 3 -num-starts 1 -array-stopping-criteria \"nz.ac.waikato.cms.adams.multiway.algorithm.stopping.IterationCriterion -current-iteration 0 -max-iterations 1000\" | 
The post-processor to apply to the model.
| command-line | -post-processor <adams.flow.transformer.threewaydatatrain.AbstractThreeWayDataTrainPostProcessor> | 
| default | adams.flow.transformer.threewaydatatrain.PassThrough |