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Algorithms and components for machine learning and statistics.

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/*
 * File:                SufficientStatistic.java
 * Authors:             Kevin R. Dixon
 * Company:             Sandia National Laboratories
 * Project:             Cognitive Foundry
 * 
 * Copyright Mar 2, 2011, Sandia Corporation.
 * Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive
 * license for use of this work by or on behalf of the U.S. Government.
 * Export of this program may require a license from the United States
 * Government. See CopyrightHistory.txt for complete details.
 * 
 */

package gov.sandia.cognition.statistics;

import gov.sandia.cognition.annotation.PublicationReference;
import gov.sandia.cognition.annotation.PublicationType;
import gov.sandia.cognition.factory.Factory;
import gov.sandia.cognition.util.CloneableSerializable;

/**
 * Sufficient statistics are the data which are sufficient to store all
 * information to create an underlying parameter, such as a Distribution.
 * @param 
 * Type of data generated by the Distribution
 * @param 
 * Type of Distribution this is the sufficient statistics of
 * @author Kevin R. Dixon
 * @since 3.1
 */
@PublicationReference(
    author="Wikipedia",
    title="Sufficient statistic",
    type=PublicationType.WebPage,
    year=2011,
    url="http://en.wikipedia.org/wiki/Sufficient_statistic"
)
public interface SufficientStatistic// extends Distribution>
    extends Factory,
        CloneableSerializable
{

    /**
     * Gets the count
     * @return
     * Number of data points used to create this SufficientStatistic
     */
    public long getCount();

    /**
     * Modifies the given distribution with the parameters indicated by the
     * sufficient statistics
     * @param distribution
     * Distribution to modify by side effect
     */
    public void create(
        final DistributionType distribution);

    /**
     * Updates the sufficient statistics from the given value
     * @param value
     * Value to update the sufficient statistics
     */
    void update(
        final DataType value);

    /**
     * Updates the sufficient statistics from the given set of values
     * @param values
     * Values to update the sufficient statistics
     */
    void update(
        final Iterable values);

}