Product Features
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Analytics
Machine Learning Models
Obtain Field Values from a Model
1min
When defining Analytics processors to interact with a Machine Learning model (TensorFlow or TensorFlow Images), 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.
TensorFlow output- 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).