Provides methods for logistic regression model-based prediction.
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Constructs a logistic regression prediction algorithm by copying input objects and parameters of another logistic regression prediction algorithm
- Parameters
-
context | Context to manage logistic regression model-based prediction |
other | Algorithm to use as the source to initialize the input objects and parameters of the algorithm |
Constructs the logistic regression prediction algorithm in the batch processing mode
- Parameters
-
context | Context to manage logistic regression model-based prediction |
cls | Data type to use in intermediate computations of logistic regression, Double.class or Float.class |
method | Algorithm prediction method, PredictionMethod |
nClasses | Number of classes |
Returns a newly allocated logistic regression prediction algorithm with a copy of the input objects of this logistic regression prediction algorithm in the batch processing mode
- Parameters
-
context | Context to manage logistic regression model-based prediction |
- Returns
- Newly allocated algorithm
Computes prediction results based on the model of the logistic regression algorithm
- Returns
- Prediction results
Registers user-allocated memory to store the result of logistic regression model-based prediction
- Parameters
-
result | Object to store the result of logistic regression model-based prediction |
Prediction method for the algorithm
Parameters of the algorithm
The documentation for this class was generated from the following file:
- logistic_regression/prediction/PredictionBatch.java