Support vector labels

[alvarez__javier]

Hello,

Is there a way of getting the labels of the support vectors after training?

Thank you,

Javier

[Preethi_V_Intel]

Hi,

Could you please elaborate? do you mean support vectors of the trained data? or prediction labels?

Thanks

Preethi 

[alvarez__javier]

Hi Preethi,

In PyDAAL there is a method to get the support vectors of a SVM model (model.getSupportVectors()). However, I don't see a way of getting the labels for these vectors.

I see that there is a new update available that introduces a getSupportIndices() method. I might be able to use this to get the labels from the training dataset.

Regards,

Javier

[Preethi_V_Intel]

yes you are right, the support indices can be used to get the respective labels

 import numpy as np
 intBlock = BlockDescriptor_Intc()
 model.getSupportIndices().getBlockOfRows(0, model.getSupportIndices().getNumberOfRows(), readOnly, intBlock)
 getIndex = intBlock.getArray()
 model.getSupportIndices().releaseBlockOfRows(intBlock) 
 trainGroundTruth.getBlockOfRows(0, trainGroundTruth.getNumberOfRows(), readOnly, intBlock)
 getArray = intBlock.getArray()
 trainGroundTruth.releaseBlockOfRows(intBlock)
 print(getArray[np.ndarray.flatten(getIndex)])