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Runtime error
| import requests | |
| # Define the URL of your deployed model endpoint | |
| url = 'http://your-deployed-model-url/predict' | |
| # Sample input data (replace this with your actual data) | |
| data = { | |
| 'data': [[5.1, 3.5, 1.4, 0.2], [6.3, 2.9, 5.6, 1.8]] | |
| } | |
| # Send POST request to the deployed model endpoint | |
| response = requests.post(url, json=data) | |
| # Check if request was successful | |
| if response.status_code == 200: | |
| # Extract predictions from response | |
| predictions = response.json()['predictions'] | |
| print("Predictions:", predictions) | |
| else: | |
| print("Error:", response.text) | |