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/*
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see .
 */

package ai.preferred.regression.exercise;

import ai.preferred.regression.Shell;
import ai.preferred.regression.pe.AddX2;

public class E05_TryX2Only {

  /**
   * DATA: data/icecream.csv
   * 
   * TODO:
   * Add column Temperature^2 and train linear regression to predict consumption based only on Temperature^2 feature.
   * Plot the trained regression!
   * 
   * CHECK: Is RMSE[TRAINING] different from 'E01_MyFirstRegressionWithIceCream'?
   */
  public static void main(final String[] args) {
    Shell.reset();

    Shell.help(AddX2.class);
  }

}