package opennlp.maxent;/** * This interface allows one to implement a prior distribution for use in * maximum entropy model training.   * @author Tom Morton * */public interface Prior {  /**   * Populates the specified array with the the log of the distribution for the specified context.     * The returned array will be overwritten and needs to be re-initialized with every call to this method.     * @param dist An array to be populated with the log of the prior distribution.   * @param context The indices of the contextual predicates for an event.   */  public void logPrior(double[] dist, int[] context);    /**   * Populates the specified array with the the log of the distribution for the specified context.     * The returned array will be overwritten and needs to be re-initialized with every call to this method.     * @param dist An array to be populated with the log of the prior distribution.   * @param context The indices of the contextual predicates for an event.   * @param values The values associated with the context.    */  public void logPrior(double[] dist, int[] context, float[] values);  /**   * Method to specify the label for the outcomes and contexts.  This is used to map    * integer outcomes and contexts to their string values.  This method is called prior   * to any call to #logPrior.   * @param outcomeLabels An array of each outcome label.   * @param contextLabels An array of each context label.   */  public void setLabels(String[] outcomeLabels, String[] contextLabels);}