Data Input format other than ndarray to predict function

[rishikesh bansod]

Hi,

       As shown in link while defining model in seldon-core https://github.com/cliveseldon/seldon-core/blob/s2i/wrappers/s2i/python/test/model-template-app/MyModel.py . We need to pass X as  ndarray to predict function. But If my data is in json format then how can I pass it?

       Also what is difference/advantage of passing data with/without tensor as shown in link https://github.com/SeldonIO/seldon-core/blob/master/docs/reference/internal-api.md? 

Thanks,

Rishikesh

[Clive Cox]

Hi,

 If you are using the wrappers we provide then they will pass X as a numpy array having converted from JSON or protobuf incoming data.

 Tensor is good for pure float data, ndarray for ease of use in JSON/REST scenarios and for multi-type data.

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