/* ----------------------------------------------------------------------- *//**
 *
 * 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'
    );