Provides methods for ridge regression model-based prediction.
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◆ PredictionBatch() [1/2]
Constructs a ridge regression prediction algorithm by copying input objects and parameters of another ridge regression prediction algorithm
- Parameters
-
context | Context to manage ridge regression model-based prediction |
other | Algorithm to use as the source to initialize the input objects and parameters of the algorithm |
◆ PredictionBatch() [2/2]
Constructs the ridge regression prediction algorithm in the batch processing mode
- Parameters
-
context | Context to manage ridge regression model-based prediction |
cls | Data type to use in intermediate computations of ridge regression, Double.class or Float.class |
method | Algorithm prediction method, PredictionMethod |
◆ clone()
Returns a newly allocated ridge regression prediction algorithm with a copy of the input objects of this ridge regression prediction algorithm in the batch processing mode
- Parameters
-
context | Context to manage ridge regression model-based prediction |
- Returns
- Newly allocated algorithm
◆ compute()
Computes the result of ridge regression model-based prediction in the batch processing mode
- Returns
- Result of ridge regression model-based prediction
◆ setResult()
Registers user-allocated memory to store the result of ridge regression model-based prediction
- Parameters
-
result | Object to store the result of ridge regression model-based prediction |
◆ input
◆ method
Prediction method for the algorithm
The documentation for this class was generated from the following file:
- ridge_regression/prediction/PredictionBatch.java