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IMultipleRegression< TInput> Interface |
Namespace: Accord.MachineLearning
public interface IMultipleRegression<TInput> : IMultipleRegression<TInput, double>, IRegression<TInput, double[]>, ITransform<TInput, double[]>, ICovariantTransform<TInput, double[]>, ITransform, IMultipleRegression<TInput, float>, IRegression<TInput, float[]>, ITransform<TInput, float[]>, ICovariantTransform<TInput, float[]>
The IMultipleRegression< TInput> type exposes the following members.
Name | Description | |
---|---|---|
![]() | NumberOfInputs |
Gets or sets the number of inputs accepted by the model.
(Inherited from ITransform.) |
![]() | NumberOfOutputs |
Gets or sets the number of outputs generated by the model.
(Inherited from ITransform.) |
Name | Description | |
---|---|---|
![]() | Regress(TInput) |
Computes an output value for a given input.
(Inherited from IRegression<TInput, TOutput>.) |
![]() | Regress(TInput[]) |
Computes output values for each vector in the given set of
input vectors.
(Inherited from IRegression<TInput, TOutput>.) |
![]() | Regress(TInput[],TOutput[]) |
Computes output values for each vector in the given set of
input vectors.
(Inherited from IRegression<TInput, TOutput>.) |
![]() | Transform(TInput) |
Applies the transformation to an input, producing an associated output.
(Inherited from ICovariantTransform<TInput, TOutput>.) |
![]() | Transform(TInput[]) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from ICovariantTransform<TInput, TOutput>.) |
![]() | Transform(TInput[],TOutput[]) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from ITransform<TInput, TOutput>.) |