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TransformBaseTInput, TOutput Class

Base class for data transformation algorithms.
Inheritance Hierarchy
SystemObject
  Accord.MachineLearningTransformBaseTInput, TOutput
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Namespace:  Accord.MachineLearning
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax
[SerializableAttribute]
public abstract class TransformBase<TInput, TOutput> : ITransform<TInput, TOutput>, 
	ICovariantTransform<TInput, TOutput>, ITransform
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Type Parameters

TInput
The type for the output data that enters in the model. Default is double[].
TOutput
The type for the input data that exits from the model. Default is double[].

The TransformBaseTInput, TOutput type exposes the following members.

Constructors
  NameDescription
Protected methodTransformBaseTInput, TOutput
Initializes a new instance of the TransformBaseTInput, TOutput class
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Properties
  NameDescription
Public propertyNumberOfInputs
Gets the number of inputs accepted by the model.
Public propertyNumberOfOutputs
Gets the number of outputs generated by the model.
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Methods
  NameDescription
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Public methodTransform(TInput)
Applies the transformation to an input, producing an associated output.
Public methodTransform(TInput)
Applies the transformation to a set of input vectors, producing an associated set of output vectors.
Public methodTransform(TInput, TOutput)
Applies the transformation to an input, producing an associated output.
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Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodTo(Type)Overloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
Public Extension MethodToTOverloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
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See Also
Inheritance Hierarchy
SystemObject
  Accord.MachineLearningTransformBaseTInput, TOutput
    Accord.MachineLearningClassifierBaseTInput, TClasses
    Accord.MachineLearningMultipleTransformBaseTInput, TOutput
    Accord.MachineLearningTaggerBaseTInput
    Accord.MachineLearningTransformBaseTInput
    Accord.Statistics.AnalysisBaseDiscriminantAnalysis
    Accord.Statistics.AnalysisLogisticRegressionAnalysis
    Accord.Statistics.AnalysisMultinomialLogisticRegressionAnalysis
    Accord.Statistics.AnalysisMultipleLinearRegressionAnalysis
    Accord.Statistics.Models.Regression.LinearMultipleLinearRegression
    Accord.Statistics.Models.Regression.LinearPolynomialRegression
    Accord.Statistics.Models.Regression.LinearSimpleLinearRegression
    Accord.Statistics.Models.RegressionNonlinearRegression