Class for multi-class classifier model training.
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◆ TrainingBatch() [1/3]
Constructs multi-class classifier training algorithm by copying input objects and parameters of another multi-class classifier training algorithm
- Parameters
-
context | Context to manage the multi-class classifier training algorithm |
other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
◆ TrainingBatch() [2/3]
Constructs multi-class classifier training algorithm
- Deprecated:
- This item will be removed in a future release.
- Parameters
-
context | Context to manage the multi-class classifier training algorithm |
cls | Data type to use in intermediate computations of the multi-class classifier training, Double.class or Float.class |
method | Multi-class classifier training method, TrainingMethod |
◆ TrainingBatch() [3/3]
Constructs multi-class classifier training algorithm
- Parameters
-
context | Context to manage the multi-class classifier training algorithm |
cls | Data type to use in intermediate computations of the multi-class classifier training, Double.class or Float.class |
method | Multi-class classifier training method, TrainingMethod |
nClasses | Number of classes |
◆ clone()
Returns the newly allocated multi-class classifier training algorithm with a copy of input objects and parameters of this multi-class classifier training algorithm
- Parameters
-
context | Context to manage the multi-class classifier training algorithm |
- Returns
- The newly allocated algorithm
◆ compute()
Trains multi-class classifier model
- Returns
- Structure that contains the training results of the multi-class classifier algorithm
◆ method
Training method for the algorithm
◆ parameter
Parameters of the algorithm
The documentation for this class was generated from the following file:
- multi_class_classifier/training/TrainingBatch.java