greycat.ml

Interface ProfilingNode

All Superinterfaces:

Container, Node

public interface ProfilingNode
extends Node

Method Summary

Modifier and Type	Method and Description
void	learn(Callback<Boolean> callback) Main training function to learn from the the expected output, The input features are defined through features extractions.
void	learnWith(double[] features)
void	predict(Callback<double[]> callback) Main infer function to give a cluster ID, The input features are defined through features extractions.
void	predictWith(double[] features, Callback<double[]> callback)

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(Callback<Boolean> callback)

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

Parameters:

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

learnWith

void learnWith(double[] features)

predict

void predict(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 predictions

predictWith

void predictWith(double[] features,
                 Callback<double[]> callback)