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1-Visitor
April 11, 2018
Solved

One-Hot Encoding

  • April 11, 2018
  • 5 replies
  • 3213 views

Hello,

 

I am currently working in ThingWorx Analytics and have categorical data as input. In order to try to enhance the accuracy it is common/recommended to try One-Hot Encoding(OHE) of the data. However, i don't think any of the opTypes are suitible for OHE, as this would require a vector as input. Has anyone tried to use OHE in ThingWorx analytics?

 

Best regards

Best answer by cmorfin

Hi

 

Sorry for the delay, I was waiting for some answer from R&D on this.

It appears that one hot encoding is internally automatically applied to the field, though it depends on the model type.

This is not configurable, but used internally.

I have documented some more details about this at https://support.ptc.com/appserver/cs/view/solution.jsp?n=CS283787

 

Kind regards

Christophe

 

5 replies

19-Tanzanite
April 11, 2018

Hi

 

I don't think this is something we can use but I need to look into this and will post once I have more details

 

Regards

Christophe

 

PErhams1-VisitorAuthor
1-Visitor
April 12, 2018

That would be great! Since OHE is a farily common way to adapt categorical input it is probably something PTC should consider implementing. 

cmorfin19-TanzaniteAnswer
19-Tanzanite
April 18, 2018

Hi

 

Sorry for the delay, I was waiting for some answer from R&D on this.

It appears that one hot encoding is internally automatically applied to the field, though it depends on the model type.

This is not configurable, but used internally.

I have documented some more details about this at https://support.ptc.com/appserver/cs/view/solution.jsp?n=CS283787

 

Kind regards

Christophe