Obtain Field Values from a Model

when defining analytics processors to interact with a machine learning model ( processor flow parameters docid\ tya79t0nardygpj0vxfdy or processor flow parameters docid\ tya79t0nardygpj0vxfdy ), you need to fill out a number of fields using values from that model this procedure describes how you can obtain the relevant values from your model to obtain the relevant field values with tensorflow installed on your local machine, enter this command in shell saved model cli show dir {path to save model}/{name of saved model} all this gives an output similar to the screenshot below find the the given savedmodel signaturedef contains the following input(s) section copy aside the input tensor name (input operation) from the name parameter ( serving default conv1d input in the screenshot above) the window size and number of inputs expected from the shape parameter ( 1,48,19) in the screenshot above means that the window size is 48 , and the number of inputs is 19 find the the given savedmodel signaturedef contains the following output(s) section copy aside the output tensor name (output operation) from the name parameter ( statefulpartitionedcall in the screenshot above)