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| Packages | |
|---|---|
| org.encog | |
| org.encog.app.analyst | This package contains the Encog Analyst. |
| org.encog.app.analyst.analyze | This package contains all if the classes used to analyze data for the analyst. |
| org.encog.app.analyst.commands | This package contains all of the analyst commands. |
| org.encog.app.analyst.csv | This package contains all of the classes for directly working with CSV files, used by the analyst. |
| org.encog.app.analyst.csv.balance | This package contains the classes used to balance CSV files. |
| org.encog.app.analyst.csv.basic | This package contains the basic subclasses for all of the CSV handling done by the Encog analyst. |
| org.encog.app.analyst.csv.filter | This package contains all of the classes used by the analyst to filter. |
| org.encog.app.analyst.csv.normalize | This package contains all of the classes used by the analyst to normalize. |
| org.encog.app.analyst.csv.segregate | This package contains all of the classes used to segregate, by the analyst. |
| org.encog.app.analyst.csv.shuffle | This package contains all of the classes used by the analyst to shuffle. |
| org.encog.app.analyst.csv.sort | This package contains all of the classes used by the analyst to sort. |
| org.encog.app.analyst.missing | |
| org.encog.app.analyst.report | This package contains the classes used to produce a simple report about the analyst file. |
| org.encog.app.analyst.script | |
| org.encog.app.analyst.script.normalize | This package contains the classes used to store information about normalization for the script. |
| org.encog.app.analyst.script.prop | This package contains all of the property classes for the script. |
| org.encog.app.analyst.script.segregate | This package contains all of the classes to store information about how to segregate for the script. |
| org.encog.app.analyst.script.task | This package contains classes that store the tasks for a script. |
| org.encog.app.analyst.util | This package contains basic utilities for the Encog analyst. |
| org.encog.app.analyst.wizard | This package contains classes used by the Encog Analyst Wizard. |
| org.encog.app.quant | This package contains the Encog Quant application. |
| org.encog.app.quant.indicators | This package contains indicators used by Encog. |
| org.encog.app.quant.indicators.predictive | This package contains predictive indicators used by Encog. |
| org.encog.app.quant.loader | This package contains the loader, used to load financial data. |
| org.encog.app.quant.loader.yahoo | This package contains the Yahoo Finance loader. |
| org.encog.app.quant.ninja | This package contains the Ninjatrader package. |
| org.encog.app.quant.util | This package contains utilities used by the Encog quant app. |
| org.encog.bot | This package contains all of the classes and packages for Encog's bot functions. |
| org.encog.bot.browse | This class contains Encog's browser functions. |
| org.encog.bot.browse.range | This package contains all of the classes that represent ranges in an HTML document. |
| org.encog.bot.dataunit | This package contains all of the data units for Encog's browser. |
| org.encog.bot.rss | This package contains all of the classes used for Encog's RSS functions. |
| org.encog.engine.network.activation | This package contains all of the classes for activation functions. |
| org.encog.mathutil | |
| org.encog.mathutil.error | |
| org.encog.mathutil.libsvm | |
| org.encog.mathutil.matrices | |
| org.encog.mathutil.matrices.decomposition | |
| org.encog.mathutil.randomize | |
| org.encog.mathutil.rbf | |
| org.encog.ml | This package contains all of the classes for Machine Learning. |
| org.encog.ml.anneal | THis package contains the classes for simulated annealing. |
| org.encog.ml.data | This package contains classes to provide data to the Machine Learning Methods. |
| org.encog.ml.data.basic | |
| org.encog.ml.data.buffer | This package implements a folded data set. |
| org.encog.ml.data.buffer.codec | This package contains classes used to encode/decode from the EGB format. |
| org.encog.ml.data.folded | This package implements a folded data set. |
| org.encog.ml.data.market | |
| org.encog.ml.data.market.loader | |
| org.encog.ml.data.specific | This package contains data classes to get data from specific locations. |
| org.encog.ml.data.temporal | |
| org.encog.ml.factory | This package contains the Encog Machine Learning Factory. |
| org.encog.ml.factory.method | |
| org.encog.ml.factory.parse | |
| org.encog.ml.factory.train | This package is used to create trainers. |
| org.encog.ml.genetic | This package is used to hold the classes used to implement genetic algorithms for Encog. |
| org.encog.ml.genetic.crossover | This package is used for Encog Genetic Algorithms. |
| org.encog.ml.genetic.genes | This package is used for Encog Genetic Algorithms. |
| org.encog.ml.genetic.genome | This package is used for Encog Genetic Algorithms. |
| org.encog.ml.genetic.innovation | This package is used for Encog Genetic Algorithms. |
| org.encog.ml.genetic.mutate | This package is used for Encog Genetic Algorithms. |
| org.encog.ml.genetic.population | This package is used for Encog Genetic Algorithms. |
| org.encog.ml.genetic.selection | This package is used for Encog Genetic Algorithms. |
| org.encog.ml.genetic.species | This package is used for Encog Genetic Algorithms. |
| org.encog.ml.kmeans | This package holds the classes used to implement kmeans clustering. |
| org.encog.ml.svm | This package contains all of the classes for support vector machines. |
| org.encog.ml.svm.training | This package holds the classes used for SVM training. |
| org.encog.ml.train | |
| org.encog.ml.train.strategy | |
| org.encog.ml.train.strategy.end | |
| org.encog.neural | |
| org.encog.neural.art | This package contains the classes for ART neural networks. |
| org.encog.neural.bam | THis package contains the classes for BAM networks. |
| org.encog.neural.cpn | This package contains the classes for CPN networks. |
| org.encog.neural.cpn.training | This package contains the instar and outstar training for the network. |
| org.encog.neural.data | This package contains compatibility classes to ease the transition to Encog 3.0. |
| org.encog.neural.data.basic | This package contains compatibility classes to ease the transition to Encog 3.0. |
| org.encog.neural.error | |
| org.encog.neural.flat | Flat neural networks are Encog's higher performance implementation of multi-layer networks. |
| org.encog.neural.flat.train | This package contains the flat training methods. |
| org.encog.neural.flat.train.prop | This package contains the propagation training for flat networks. |
| org.encog.neural.neat | |
| org.encog.neural.neat.training | |
| org.encog.neural.networks | This package contains the neural network machine learning methods. |
| org.encog.neural.networks.layers | |
| org.encog.neural.networks.structure | This package contains classes used to handle the structure of a neural network. |
| org.encog.neural.networks.training | This package provides training for neural networks. |
| org.encog.neural.networks.training.anneal | This package trains neural network using simulated annealing. |
| org.encog.neural.networks.training.concurrent | This package allows concurrent training jobs to be scheduled. |
| org.encog.neural.networks.training.concurrent.jobs | This package provides the performers to perform concurrent training jobs. |
| org.encog.neural.networks.training.concurrent.performers | This package defines jobs for concurrent training. |
| org.encog.neural.networks.training.cross | This package provides cross validation training. |
| org.encog.neural.networks.training.genetic | This package provides genetic training for neural networks. |
| org.encog.neural.networks.training.lma | This package provides Levenberg Marquardt training for neural networks. |
| org.encog.neural.networks.training.pnn | This package provides PNN training. |
| org.encog.neural.networks.training.propagation | This package provides propagation training for neural networks. |
| org.encog.neural.networks.training.propagation.back | This package provides back propagation training for neural networks. |
| org.encog.neural.networks.training.propagation.manhattan | This package provides Manhattan propagation training for neural networks. |
| org.encog.neural.networks.training.propagation.quick | This package provides back propagation training for neural networks. |
| org.encog.neural.networks.training.propagation.resilient | This package provides resilient propagation training for neural networks. |
| org.encog.neural.networks.training.propagation.scg | This package provides SCG propagation training for neural networks. |
| org.encog.neural.networks.training.simple | This package provides simple ADALINE training. |
| org.encog.neural.networks.training.strategy | This package provides training strategies to update learning date and momentum. |
| org.encog.neural.pattern | This package contains many helper classes to create neural network types. |
| org.encog.neural.pnn | This package contains the classes for the PNN. |
| org.encog.neural.prune | This package contains the classes to prune a neural network. |
| org.encog.neural.rbf | This package contains classes for RBF networks. |
| org.encog.neural.rbf.training | This package contains a SVD trainer for RBF. |
| org.encog.neural.som | This package contains classes for the SOM. |
| org.encog.neural.som.training | This package contains training methods for the SOM. |
| org.encog.neural.som.training.basic | This package implements neighborhood training for the SOM. |
| org.encog.neural.som.training.basic.neighborhood | This package provides neighborhood functions for the SOM. |
| org.encog.neural.som.training.clustercopy | This package provides a very simple trianing method for SOM's. |
| org.encog.neural.thermal | This package implements thermal neural networks, such as Hopfield and Boltzmann machines. |
| org.encog.parse | |
| org.encog.parse.tags | |
| org.encog.parse.tags.read | |
| org.encog.parse.tags.write | |
| org.encog.persist | |
| org.encog.platformspecific.j2se | |
| org.encog.platformspecific.j2se.data | |
| org.encog.platformspecific.j2se.data.image | This package contains classes used to allow images to be Machine Learning Data. |
| org.encog.plugin | This package holds classes to implement plugins. |
| org.encog.plugin.system | This package holds the system plugins. |
| org.encog.util | |
| org.encog.util.arrayutil | |
| org.encog.util.benchmark | |
| org.encog.util.concurrency | |
| org.encog.util.concurrency.job | |
| org.encog.util.csv | |
| org.encog.util.downsample | |
| org.encog.util.error | |
| org.encog.util.file | |
| org.encog.util.http | |
| org.encog.util.identity | |
| org.encog.util.logging | |
| org.encog.util.normalize | |
| org.encog.util.normalize.input | |
| org.encog.util.normalize.output | |
| org.encog.util.normalize.output.mapped | |
| org.encog.util.normalize.output.multiplicative | |
| org.encog.util.normalize.output.nominal | |
| org.encog.util.normalize.output.zaxis | |
| org.encog.util.normalize.segregate | |
| org.encog.util.normalize.segregate.index | |
| org.encog.util.normalize.target | |
| org.encog.util.obj | |
| org.encog.util.simple | |
| org.encog.util.time | |
| org.encog.util.validate | |
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