ClassificationModel<T>.PredictProbabilities Method

Definition

Namespace: Numerics.NET.DataAnalysis.Models
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.2

Overload List

PredictProbabilities(IDataFrame, ModelInputFormat)	Predicts the value of the output corresponding to the specified input.
PredictProbabilities(Matrix<T>, ModelInputFormat)	Predicts the value of the output corresponding to the specified features.
PredictProbabilities(Vector<T>, ModelInputFormat)	Predicts the value of the output corresponding to the specified input.

PredictProbabilities(IDataFrame, ModelInputFormat)

Predicts the value of the output corresponding to the specified input.

public Matrix<double> PredictProbabilities(
	IDataFrame features,
	ModelInputFormat format = ModelInputFormat.Automatic
)

Visual Basic

Public Function PredictProbabilities ( 
	features As IDataFrame,
	Optional format As ModelInputFormat = ModelInputFormat.Automatic
) As Matrix(Of Double)

C++/CLI

public:
Matrix<double>^ PredictProbabilities(
	IDataFrame^ features, 
	ModelInputFormat format = ModelInputFormat::Automatic
)

member PredictProbabilities : 
        features : IDataFrame * 
        ?format : ModelInputFormat 
(* Defaults:
        let _format = defaultArg format ModelInputFormat.Automatic
*)
-> Matrix<float>

Parameters

features IDataFrame: A data frame that contains the input features for the regression.
format ModelInputFormat (Optional): A ModelInputFormat value that specifies how the elements in features relate to the variables in the model.

Return Value

Matrix<Double>
The predicted value.

PredictProbabilities(Matrix<T>, ModelInputFormat)

Predicts the value of the output corresponding to the specified features.

public Matrix<double> PredictProbabilities(
	Matrix<T> features,
	ModelInputFormat format = ModelInputFormat.Automatic
)

Visual Basic

Public Function PredictProbabilities ( 
	features As Matrix(Of T),
	Optional format As ModelInputFormat = ModelInputFormat.Automatic
) As Matrix(Of Double)

C++/CLI

public:
Matrix<double>^ PredictProbabilities(
	Matrix<T>^ features, 
	ModelInputFormat format = ModelInputFormat::Automatic
)

member PredictProbabilities : 
        features : Matrix<'T> * 
        ?format : ModelInputFormat 
(* Defaults:
        let _format = defaultArg format ModelInputFormat.Automatic
*)
-> Matrix<float>

Parameters

features Matrix<T>: A matrix that contains the input values for the regression.
format ModelInputFormat (Optional): A ModelInputFormat value that specifies how the elements in features relate to the variables in the model.

Return Value

Matrix<Double>
The predicted value.

PredictProbabilities(Vector<T>, ModelInputFormat)

Predicts the value of the output corresponding to the specified input.

public Vector<double> PredictProbabilities(
	Vector<T> features,
	ModelInputFormat format = ModelInputFormat.Automatic
)

Visual Basic

Public Function PredictProbabilities ( 
	features As Vector(Of T),
	Optional format As ModelInputFormat = ModelInputFormat.Automatic
) As Vector(Of Double)

C++/CLI

public:
Vector<double>^ PredictProbabilities(
	Vector<T>^ features, 
	ModelInputFormat format = ModelInputFormat::Automatic
)

member PredictProbabilities : 
        features : Vector<'T> * 
        ?format : ModelInputFormat 
(* Defaults:
        let _format = defaultArg format ModelInputFormat.Automatic
*)
-> Vector<float>

Parameters

features Vector<T>: A vector that contains the input values for the regression.
format ModelInputFormat (Optional): A ModelInputFormat value that specifies how the elements in features relate to the variables in the model.

Return Value

Vector<Double>
The predicted value.

ClassificationModel<T>.PredictProbabilities Method

Definition

Overload List

PredictProbabilities(IDataFrame, ModelInputFormat)

Parameters

Return Value

PredictProbabilities(Matrix<T>, ModelInputFormat)

Parameters

Return Value

PredictProbabilities(Vector<T>, ModelInputFormat)

Parameters

Return Value

See Also

Reference