text: /*
   * Artificial Intelligence for Humans
   * Volume 1: Fundamental Algorithms
   * Scala Version
   * http://www.aifh.org
   * http://www.jeffheaton.com
   *
   * Code repository:
   * https://github.com/jeffheaton/aifh
  
   * Copyright 2013 by Jeff Heaton
   *
   * Licensed 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.
   *
   * For more information on Heaton Research copyrights, licenses
   * and trademarks visit:
   * http://www.heatonresearch.com/copyright
   */
  package com.heatonresearch.aifh.error
  
  /**
   * Calculates the error as the square root of the average of the sum of the squared differences between the actual and
   * ideal vectors.
   * <p/>
   * http://www.heatonresearch.com/wiki/Root_Mean_Square_Error
   */
  class ErrorCalculationRMS extends AbstractErrorCalculation {
    /**
     * Calculate the error with RMS.
     *
     * @return The current error for the neural network.
     */
    override def calculate: Double = {
      if (setSize == 0)
        Double.PositiveInfinity
      else
        Math.sqrt(globalError / setSize)
    }
  }