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_customer_churn_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_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_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)
def predict_auto_insurance_linl1(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_mlp(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)