## Uses of Class
org.encog.ml.data.versatile.VersatileMLDataSet

- Packages that use VersatileMLDataSet
  Package | Description
  --- | ---
  org.encog.ml.data.versatile.division |
  org.encog.ml.model |
  org.encog.ml.model.config |

- - ### Uses of VersatileMLDataSet in org.encog.ml.data.versatile.division

    Methods in org.encog.ml.data.versatile.division with parameters of type VersatileMLDataSet
    Modifier and Type | Method and Description
    --- | ---
    `void` | PerformDataDivision.`perform(List<DataDivision> dataDivisionList, VersatileMLDataSet dataset, int inputCount, int idealCount)` Perform the split.

  - ### Uses of VersatileMLDataSet in org.encog.ml.model

    Methods in org.encog.ml.model that return VersatileMLDataSet
    Modifier and Type | Method and Description
    --- | ---
    `VersatileMLDataSet` | EncogModel.`getDataset()`

    Methods in org.encog.ml.model with parameters of type VersatileMLDataSet
    Modifier and Type | Method and Description
    --- | ---
    `void` | EncogModel.`selectMethod(VersatileMLDataSet dataset, String methodType)` Select the method to create.
    `void` | EncogModel.`selectMethod(VersatileMLDataSet dataset, String methodType, String methodArgs, String trainingType, String trainingArgs)` Select the method to use.
    `void` | EncogModel.`selectTraining(VersatileMLDataSet dataset, String trainingType, String trainingArgs)` Select the training to use.
    `void` | EncogModel.`selectTrainingType(VersatileMLDataSet dataset)` Select the training type.

    Constructors in org.encog.ml.model with parameters of type VersatileMLDataSet
    Constructor and Description
    `EncogModel(VersatileMLDataSet theDataset)` Construct a model for the specified dataset.

  - ### Uses of VersatileMLDataSet in org.encog.ml.model.config

    Methods in org.encog.ml.model.config with parameters of type VersatileMLDataSet
    Modifier and Type | Method and Description
    --- | ---
    `int` | MethodConfig.`determineOutputCount(VersatileMLDataSet dataset)` Determine the needed output count.
    `int` | PNNConfig.`determineOutputCount(VersatileMLDataSet dataset)` Determine the needed output count.
    `int` | SVMConfig.`determineOutputCount(VersatileMLDataSet dataset)`
    `int` | RBFNetworkConfig.`determineOutputCount(VersatileMLDataSet dataset)` Determine the needed output count.
    `int` | FeedforwardConfig.`determineOutputCount(VersatileMLDataSet dataset)` Determine the needed output count.
    `int` | NEATConfig.`determineOutputCount(VersatileMLDataSet dataset)` Determine the needed output count.
    `String` | MethodConfig.`suggestModelArchitecture(VersatileMLDataSet dataset)` Suggest a model architecture, based on a dataset.
    `String` | PNNConfig.`suggestModelArchitecture(VersatileMLDataSet dataset)` Suggest a model architecture, based on a dataset.
    `String` | SVMConfig.`suggestModelArchitecture(VersatileMLDataSet dataset)` Suggest a model architecture, based on a dataset.
    `String` | RBFNetworkConfig.`suggestModelArchitecture(VersatileMLDataSet dataset)` Suggest a model architecture, based on a dataset.
    `String` | FeedforwardConfig.`suggestModelArchitecture(VersatileMLDataSet dataset)` Suggest a model architecture, based on a dataset.
    `String` | NEATConfig.`suggestModelArchitecture(VersatileMLDataSet dataset)` Suggest a model architecture, based on a dataset.
    `NormalizationStrategy` | MethodConfig.`suggestNormalizationStrategy(VersatileMLDataSet dataset, String architecture)` Suggest a normalization strategy based on a dataset.
    `NormalizationStrategy` | PNNConfig.`suggestNormalizationStrategy(VersatileMLDataSet dataset, String architecture)` Suggest a normalization strategy based on a dataset.
    `NormalizationStrategy` | SVMConfig.`suggestNormalizationStrategy(VersatileMLDataSet dataset, String architecture)` Suggest a normalization strategy based on a dataset.
    `NormalizationStrategy` | RBFNetworkConfig.`suggestNormalizationStrategy(VersatileMLDataSet dataset, String architecture)` Suggest a normalization strategy based on a dataset.
    `NormalizationStrategy` | FeedforwardConfig.`suggestNormalizationStrategy(VersatileMLDataSet dataset, String architecture)` Suggest a normalization strategy based on a dataset.
    `NormalizationStrategy` | NEATConfig.`suggestNormalizationStrategy(VersatileMLDataSet dataset, String architecture)` Suggest a normalization strategy based on a dataset.

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