| import joblib | |
| import numpy as np | |
| model = joblib.load("classifier.joblib") | |
| def predict(inputs): | |
| X = np.array([[v for v in sample.values()] for sample in inputs]) | |
| predictions = model.predict(X) | |
| return [int(p) for p in predictions] | |
| import joblib | |
| import numpy as np | |
| model = joblib.load("classifier.joblib") | |
| def predict(inputs): | |
| X = np.array([[v for v in sample.values()] for sample in inputs]) | |
| predictions = model.predict(X) | |
| return [int(p) for p in predictions] | |