Decision tree classification without process in JAVA

User: "justinkrause"
New Altair Community Member
Updated by Jocelyn

Hi,

I don't know why my previous post has been deleted.

 

Using Java I want to load a trained model (decision tree) via ModelLoader and ModelApplier. Once loaded

I want to classify data without using a process because using a process means having to reload the model,

but I need a funtion like this:

 

private String classify(double[] data){

//Classification

return classification;

}

 

Right now I created two Operators (ModelLoader and ModelApplier) and connected the input to the output port.

But which operator do I have to use for my example data? I thought I can then connect the example data's operator's

output port to the ModelApplier input port and then just call modelApplier.execute().

 

Does it work like this? And how can I display the classification string?

 

Thanks in advance.

 

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