greycat.ml

Interface RegressionNode

All Superinterfaces:

Container, Node

All Known Implementing Classes:

PolynomialNode

public interface RegressionNode
extends Node

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.
void	learn(double output, Callback<Boolean> callback) Main training function to learn from the the expected output, The input features are defined through features extractions.

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

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

Method Detail

learn

void learn(double output,
           Callback<Boolean> callback)

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

Parameters:

output - Expected output of the regression in a supervised manner

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

extrapolate

void extrapolate(Callback<Double> callback)

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

Parameters:

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