PMLE Question 22

Question

You trained a text classification model. You have the following SignatureDefs: *(refer to diagram in explanation below)* You started a TensorFlow-serving component server and tried to send an HTTP request to get a prediction using: headers = {"content-type": "application/json"} json_response = requests.post('http: //localhost:8501/v1/models/text_model:predict', data=data, headers=headers) What is the correct way to write the predict request?
A. data = json.dumps({'signature_name': 'seving_default', 'instances' [['ab', 'bc', 'cd']]})
B. data = json.dumps({'signature_name': 'serving_default', 'instances' [['a', 'b', 'c', 'd', 'e', 'f']]})
C. data = json.dumps({'signature_name': 'serving_default', 'instances' [['a', 'b', 'c'], ['d', 'e', 'f']]})
D. data = json.dumps({'signature_name': 'serving_default', 'instances' [['a', 'b'], ['c', 'd'], ['e', 'f']]})

Accepted Answer

Marked answer: D. data = json.dumps({'signature_name': 'serving_default', 'instances' [['a', 'b'], ['c', 'd'], ['e', 'f']]})

PMLE Question 22

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PMLE Question 22

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