Package | Description |
---|---|
org.apache.flink.ml.classification |
Modifier and Type | Method and Description |
---|---|
SVM |
SVM$.apply() |
static SVM |
SVM.apply() |
SVM |
SVM.setBlocks(int blocks)
Sets the number of data blocks/partitions
|
SVM |
SVM.setIterations(int iterations)
Sets the number of outer iterations
|
SVM |
SVM.setLocalIterations(int localIterations)
Sets the number of local SDCA iterations
|
SVM |
SVM.setOutputDecisionFunction(boolean outputDecisionFunction)
Sets whether the predictions should return the raw decision function value or the
thresholded binary value.
|
SVM |
SVM.setRegularization(double regularization)
Sets the regularization constant
|
SVM |
SVM.setSeed(long seed)
Sets the seed value for the random number generator
|
SVM |
SVM.setStepsize(double stepsize)
Sets the stepsize for the weight vector updates
|
SVM |
SVM.setThreshold(double threshold)
Sets the threshold above which elements are classified as positive.
|
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