/*
 * 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.
 */

package org.apache.samoa.instances;

public interface Prediction {

  /**
   * Number of output attributes.
   *
   * @return the number of output attributes
   */
  public int numOutputAttributes();

  /**
   * Different output attributes may have different number of classes.
   * Regressors have one class per output attribute.
   *
   * @return the number of classes for attribute attributeIndex
   */
  public int numClasses(int outputAttributeIndex);

  /*
   * The predictions for each output attribute.
   *
   * @return the classes for each output attribute
   *//*
	public double [] getPrediction();
    */

  /**
   * The votes for a given output attribute
   *
   * @return the votes for a given output attribute outputAttributeIndex.
   */
  public double [] getVotes(int outputAttributeIndex);

  /**
   * The vote assigned to a class of an output attribute
   *
   * @return the vote for an output attribute outputAttributeIndex and a class classIndex.
   */
  public double getVote(int outputAttributeIndex, int classIndex);

  /**
   * Sets the votes for a given output attribute
   *
   */
  public void setVotes(int outputAttributeIndex, double [] votes);

  /**
   * Sets the votes for the first output attribute
   *
   */
  public void setVotes(double[] votes);

  /**
   * Sets the vote for class of a given output attribute
   *
   */
  public void setVote(int outputAttributeIndex, int classIndex, double vote);

  /**
   * The votes for the first output attribute
   *
   * @return the votes for the first output attribute outputAttributeIndex.
   */
  double[] getVotes();

  /**
   * Checks if there are votes for a given output attribute
   *
   * @return the votes for the first output attribute outputAttributeIndex.
   */
  boolean hasVotesForAttribute(int outputAttributeIndex);


  /**
   * The size of the prediction, that is the number of output attributes
   *
   * @return the votes for the first output attribute outputAttributeIndex.
   */
  public int size();

  /**
   * The text of the prediction, that is the description of the values of the prediction
   *
   * @return the text
   */
  public String toString();


}