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model_service.py
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model_service.py
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import os
import mlflow
def get_model_location(stage='Production', mlflow_model_name='loan-predictor'):
model_location = os.getenv('MODEL_LOCATION')
if model_location is not None:
return model_location
model_uri = f"models:/{mlflow_model_name}/{stage}"
return model_uri
def load_model(stage='Production', mlflow_model_name='loan-predictor'):
model_path = get_model_location(stage=stage, mlflow_model_name=mlflow_model_name)
model = mlflow.pyfunc.load_model(model_uri=model_path)
return model
class ModelService:
def __init__(self, model, model_version=None):
self.model = model
self.model_version = model_version
@staticmethod
def prepare_features(payload):
features = {
'home_ownership': payload['home_ownership'],
'emp_length': payload['emp_length'],
'annual_inc': payload['annual_inc'],
}
return features
def predict(self, payload):
features = self.prepare_features(payload)
preds = self.model.predict(features)
return int(preds[-1])
def init_model(stage: str, mlflow_model_name: str):
model = load_model(stage, mlflow_model_name)
model_service = ModelService(model=model, model_version=stage)
return model_service