| /* ----------------------------------------------------------------------- *//** |
| * |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, |
| * software distributed under the License is distributed on an |
| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| * KIND, either express or implied. See the License for the |
| * specific language governing permissions and limitations |
| * under the License. |
| * |
| *//* ----------------------------------------------------------------------- */ |
| |
| /* ----------------------------------------------------------------------------- |
| * Test Multinomial Logistic Regression. |
| * -------------------------------------------------------------------------- */ |
| |
| /* |
| * The following example is taken from: |
| * http://luna.cas.usf.edu/~mbrannic/files/regression/Logistic.html |
| * Predicting heart attack. This example is the same as the (binomial) logistic |
| * regression example. |
| */ |
| DROP TABLE IF EXISTS patients; |
| CREATE TABLE patients ( |
| id INTEGER NOT NULL, |
| "SECOND_ATTACK" INTEGER, |
| treatment INTEGER, |
| trait_anxiety INTEGER |
| ); |
| |
| INSERT INTO patients(id, "SECOND_ATTACK", treatment, trait_anxiety) VALUES |
| ( 1, 1, 1, 70), |
| ( 2, 1, 1, 80), |
| ( 3, 0, 1, 50), |
| ( 4, 0, 0, 60); |
| |
| DROP TABLE IF EXISTS temp_result; |
| DROP TABLE IF EXISTS temp_result_summary; |
| SELECT mlogregr_train( |
| 'patients', |
| 'temp_result', |
| '"SECOND_ATTACK"', |
| 'ARRAY[1, treatment]'); |
| |
| DROP TABLE IF EXISTS predict_result; |
| SELECT mlogregr_predict( |
| 'temp_result', |
| 'patients', |
| 'id', |
| 'predict_result' |
| ); |