def predict_auto_insurance_nn(msg):
instances = msg.payload.get("instances", [])
if not model_name in model_ctx:
model_ctx[model_name] = init_model(model_name)
return predict(model_ctx, instances)
def predict_adult_income_rf(msg):
instances = msg.payload.get("instances", [])
if not model_name in model_ctx:
model_ctx[model_name] = init_model(model_name)
return predict(model_ctx, instances)
def predict_german_credit_svm(msg):
instances = msg.payload.get("instances", [])
if not model_name in model_ctx:
model_ctx[model_name] = init_model(model_name)
return predict(model_ctx, instances)
def predict_customer_churn_rf(msg):
instances = msg.payload.get("instances", [])
if not model_name in model_ctx:
model_ctx[model_name] = init_model(model_name)
return predict(model_ctx, instances)
def predict_heart_disease_lr(msg):
instances = msg.payload.get("instances", [])
if not model_name in model_ctx:
model_ctx[model_name] = init_model(model_name)
return predict(model_ctx, instances)
def predict_diabetes_dtree(msg):
instances = msg.payload.get("instances", [])
if not model_name in model_ctx:
model_ctx[model_name] = init_model(model_name)
return predict(model_ctx, instances)
def predict_bank_marketing_svm(msg):
instances = msg.payload.get("instances", [])
if not model_name in model_ctx:
model_ctx[model_name] = init_model(model_name)
return predict(model_ctx, instances)