Deeplearning4j: ParagraphVectors inferVector does not return vectors

Created on 9 Jun 2016  路  7Comments  路  Source: eclipse/deeplearning4j

I'm trying to infer the vector for a new document using a trained paragraph vector model, but the infer method does not give me the vector, I checked in function
public INDArray inferVector(List document, double learningRate, double minLearningRate, int iterations)
returns null;

and the new document label is randomly generated, and not included in the vocabulary

How can I get the vector for a new document using inferVector method?

Thanks

Bug Enhancement

All 7 comments

I'm sorry, but inferVector meant to be protected for now. Implementation wasn't finished yet, and will be available in next release.

Hi Raver119,

Thanks for the quick reply, looking forward to the next release!

Same here, thanks raver!

To infer a vector for a new document given a trained model is a key functionality that will boost the api usage.

@raver119 do you have an approximate date for the next release?

Sorry, right now main priority is CUDA performance & multi-gpu scaling. After it's finished - i'll get back to NLP.

p.s. and fp16 support...

Implemented. Example is here: https://github.com/deeplearning4j/dl4j-examples/pull/234

Will be merged soon™ and will be available with 0.6.0 release next week.

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