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A single jar with all the Cognitive Foundry components.
/*
* File: SupervisedIncrementalLearner.java
* Authors: Justin Basilico
* Company: Sandia National Laboratories
* Project: Cognitive Foundry Learning Core
*
* Copyright March 31, 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.
*/
package gov.sandia.cognition.learning.algorithm;
import gov.sandia.cognition.evaluator.Evaluator;
import gov.sandia.cognition.learning.data.InputOutputPair;
/**
* Interface for supervised incremental learning algorithms. It contains the
* typical generic definition conventions for an incremental, supervised
* learning algorithm. It also contains a convenience method for providing
* a new input/output example without packing it into an
* {@code InputOutputPair}.
*
* @param The type of input data in the input-output pair that
* the learner can learn from. The {@code Evaluator} learned from the
* algorithm also takes this as the input parameter.
* @param The type of output data in the input-output pair that
* the learner can learn from. The {@code Evaluator} learned from the
* algorithm also produces this as its output.
* @param The type of object created by the learning algorithm.
* For example, a {@code LinearBinaryCategorizer}.
* @author Justin Basilico
* @since 3.2.0
*/
public interface SupervisedIncrementalLearner>
extends IncrementalLearner, ResultType>
{
/**
* The {@code update} method updates an object of {@code ResultType} using
* the given a new supervised input-output pair, using some form of
* "learning" algorithm.
*
* @param target
* The object to update.
* @param input
* The supervised input to learn from.
* @param output
* The supervised output to learn from.
*/
public void update(
final ResultType target,
final InputType input,
final OutputType output);
}