greycat.ml.regression

Class PolynomialNode

java.lang.Object

greycat.base.BaseNode

greycat.ml.BaseMLNode

greycat.ml.regression.PolynomialNode

All Implemented Interfaces:

Container, RegressionNode, Node

public class PolynomialNode
extends BaseMLNode
implements RegressionNode

Field Summary

Fields

Modifier and Type	Field and Description
static String	INTERNAL_STEP_KEY
static String	INTERNAL_WEIGHT_KEY
static String	MAX_DEGREE
static int	MAX_DEGREE_DEF
static String	NAME Name of the algorithm to be used in the meta model
static String	PRECISION Tolerated error that can be configure per node to drive the learning process
static double	PRECISION_DEF
static String	VALUE

Fields inherited from class greycat.ml.BaseMLNode

FROM, FROM_SEPARATOR

Fields inherited from class greycat.base.BaseNode

_dead, _index_stateChunk, _index_superTimeTree, _index_timeTree, _index_worldOrder, _resolver, _super_time_magic, _time_magic, _world_magic

Constructor Summary

Constructors

Constructor and Description
PolynomialNode(long p_world, long p_time, long p_id, Graph p_graph)

Method Summary

Modifier and Type	Method and Description
void	extrapolate(Callback<Double> callback) Main infer function to give a cluster ID, The input features are defined through features extractions.
Object	get(String propertyName)
void	learn(double value, Callback<Boolean> callback) Main training function to learn from the the expected output, The input features are defined through features extractions.
Node	set(String propertyName, byte propertyType, Object propertyValue)
String	toString()

Methods inherited from class greycat.ml.BaseMLNode

extractFeatures, illegalArgumentIfFalse, requireNotNull

Methods inherited from class greycat.base.BaseNode

addToRelation, addToRelationAt, cacheLock, cacheUnlock, createClone, drop, end, forceSet, forceSetAt, free, getAt, getAtWithDefault, getDMatrix, getDoubleArray, getEGraph, getIntArray, getIntIntMap, getIntStringMap, getLMatrix, getLongArray, getLongLongArrayMap, getLongLongMap, getOrCreate, getOrCreateAt, getRawAt, getRelation, getRelationIndexed, getStringArray, getStringIntMap, getTypedRawAt, getWithDefault, graph, id, init, lastModification, newState, nodeTypeName, phasedState, relation, relationAt, remove, removeAt, removeFromRelation, removeFromRelationAt, rephase, setAt, setTimeSensitivity, time, timeDephasing, timepoints, timeSensitivity, travel, travelInTime, travelInWorld, type, typeAt, unphasedState, world

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface greycat.Node

addToRelation, addToRelationAt, drop, end, forceSet, forceSetAt, free, graph, id, lastModification, nodeTypeName, relation, relationAt, removeFromRelation, removeFromRelationAt, rephase, setTimeSensitivity, time, timeDephasing, timepoints, timeSensitivity, travel, travelInTime, travelInWorld, world

Methods inherited from interface greycat.Container

getAt, getAtWithDefault, getDMatrix, getDoubleArray, getEGraph, getIntArray, getIntIntMap, getIntStringMap, getLMatrix, getLongArray, getLongLongArrayMap, getLongLongMap, getOrCreate, getOrCreateAt, getRawAt, getRelation, getRelationIndexed, getStringArray, getStringIntMap, getTypedRawAt, getWithDefault, remove, removeAt, setAt, type, typeAt

Field Detail

PRECISION

public static final String PRECISION

Tolerated error that can be configure per node to drive the learning process

See Also:

Constant Field Values

PRECISION_DEF

public static final double PRECISION_DEF

See Also:

Constant Field Values

VALUE

public static final String VALUE

See Also:

Constant Field Values

NAME

public static final String NAME

Name of the algorithm to be used in the meta model

See Also:

Constant Field Values

INTERNAL_WEIGHT_KEY

public static final String INTERNAL_WEIGHT_KEY

See Also:

Constant Field Values

INTERNAL_STEP_KEY

public static final String INTERNAL_STEP_KEY

See Also:

Constant Field Values

MAX_DEGREE

public static final String MAX_DEGREE

See Also:

Constant Field Values

MAX_DEGREE_DEF

public static final int MAX_DEGREE_DEF

See Also:

Constant Field Values

Constructor Detail

PolynomialNode

public PolynomialNode(long p_world,
                      long p_time,
                      long p_id,
                      Graph p_graph)

Method Detail

set

public final Node set(String propertyName,
                      byte propertyType,
                      Object propertyValue)

Specified by:

set in interface Container

Overrides:

set in class BaseNode

get

public final Object get(String propertyName)

Specified by:

get in interface Container

Overrides:

get in class BaseNode

learn

public final void learn(double value,
                        Callback<Boolean> callback)

Description copied from interface: RegressionNode

Main training function to learn from the the expected output, The input features are defined through features extractions.

Specified by:

learn in interface RegressionNode

Parameters:

value - Expected output of the regression in a supervised manner

callback - Called when the learning is completed with the status of learning true/false

extrapolate

public final void extrapolate(Callback<Double> callback)

Description copied from interface: RegressionNode

Main infer function to give a cluster ID, The input features are defined through features extractions.

Specified by:

extrapolate in interface RegressionNode

Parameters:

callback - Called when the infer is completed with the result of the extrapolation

toString

public final String toString()

Overrides:

toString in class BaseNode