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    Class CrossValidation

    Allows test metrics/scores to be calculated using cross validation.

    Inheritance
    Object
    CrossValidation
    Inherited Members
    Object.Equals(Object)
    Object.Equals(Object, Object)
    Object.GetHashCode()
    Object.GetType()
    Object.MemberwiseClone()
    Object.ReferenceEquals(Object, Object)
    Object.ToString()
    Namespace: BayesServer.Data
    Assembly: BayesServer.Data.dll
    Syntax
    public static class CrossValidation

    Methods

    Combine(IEnumerable<ICrossValidationTestResult>, CrossValidationCombineMethod)

    Provides standard ways of combining numeric test results from a number of partitions. These can be used in the combine each phase of k-fold cross validation.

    Declaration
    public static double Combine(IEnumerable<ICrossValidationTestResult> testResults, CrossValidationCombineMethod method)
    Parameters
    Type Name Description
    IEnumerable<ICrossValidationTestResult> testResults

    The test results. Typically one for each test partitioning.

    CrossValidationCombineMethod method

    The method to be used to combine the test results.

    Returns
    Type Description
    Double

    The overall cross validation score, which can be used to compare models.

    kFold(Int32, Int32, Func<DataPartitioning, ICrossValidationNetwork>, Func<DataPartitioning, ICrossValidationNetwork, ICrossValidationTestResult[]>, Func<Int32, ICrossValidationTestResult[], ICrossValidationScore>)

    Performs k-fold cross validation.

    Declaration
    public static ICrossValidationScore[] kFold(int partitionCount, int testMetricCount, Func<DataPartitioning, ICrossValidationNetwork> learn, Func<DataPartitioning, ICrossValidationNetwork, ICrossValidationTestResult[]> test, Func<int, ICrossValidationTestResult[], ICrossValidationScore> combine)
    Parameters
    Type Name Description
    Int32 partitionCount

    The number of partitions to use.

    Int32 testMetricCount

    The number of test metrics being calculated.

    Func<DataPartitioning, ICrossValidationNetwork> learn

    A user supplied function to learn a network based on a training partitioning of the data.

    Func<DataPartitioning, ICrossValidationNetwork, ICrossValidationTestResult[]> test

    A user supplied function to test the network on a test partioning of the data.

    Func<Int32, ICrossValidationTestResult[], ICrossValidationScore> combine

    A user supplied function to combine the test results over multiple partitionings.

    Returns
    Type Description
    ICrossValidationScore[]

    A score for each test metric.

    kFoldList(Int32)

    Gets a list of training and test DataPartitioning instances for each partition.

    Declaration
    public static IList<CrossValidationOutput> kFoldList(int partitionCount)
    Parameters
    Type Name Description
    Int32 partitionCount

    The number of k-fold partitions.

    Returns
    Type Description
    IList<CrossValidationOutput>

    Training and test DataPartitioning instances for each partition.

    Remarks

    This method is an alternative to the callback based BayesServer.Data.CrossValidation.kFold method.

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