ClassificationModel<T>.Predict Method

Definition

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

Overload List

Predict(IDataFrame, ModelInputFormat) Predicts the most likely class based on the specified features.
Predict(Matrix<T>, ModelInputFormat) Predicts the value of the output corresponding to the specified features.
Predict(Vector<T>, ModelInputFormat) Predicts the value of the output corresponding to the specified input.

Predict(IDataFrame, ModelInputFormat)

Predicts the most likely class based on the specified features.
C# 
public CategoricalVector<int> Predict(
	IDataFrame features,
	ModelInputFormat format = ModelInputFormat.Automatic
)

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

CategoricalVector<Int32>
The predicted value.

Predict(Matrix<T>, ModelInputFormat)

Predicts the value of the output corresponding to the specified features.
C# 
public CategoricalVector<int> Predict(
	Matrix<T> features,
	ModelInputFormat format = ModelInputFormat.Automatic
)

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

CategoricalVector<Int32>
The predicted value.

Predict(Vector<T>, ModelInputFormat)

Predicts the value of the output corresponding to the specified input.
C# 
public int Predict(
	Vector<T> features,
	ModelInputFormat format = ModelInputFormat.Automatic
)

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

Int32
The predicted value.

See Also