mx.nd.SVMOutput
¶
Description¶
Computes support vector machine based transformation of the input.
This tutorial demonstrates using SVM as output layer for classification instead of softmax: https://github.com/dmlc/mxnet/tree/master/example/svm_mnist.
Arguments¶
Argument |
Description |
---|---|
|
NDArray-or-Symbol. Input data for SVM transformation. |
|
NDArray-or-Symbol. Class label for the input data. |
|
float, optional, default=1. The loss function penalizes outputs that lie outside this margin. Default margin is 1. |
|
float, optional, default=1. Regularization parameter for the SVM. This balances the tradeoff between coefficient size and error. |
|
boolean, optional, default=0. Whether to use L1-SVM objective. L2-SVM objective is used by default. |
Value¶
out
The result mx.ndarray