Regressor<T>.Predict Method

Definition

Namespace: Numerics.NET.DataAnalysis.Models
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 10.0.0

Overload List

Predict(Matrix<T>) Generates predictions for each row of input features using the model.
Predict(Vector<T>) Predicts an output value based on the provided feature vector.

Predict(Matrix<T>)

Generates predictions for each row of input features using the model.
C# 
public virtual Vector<T> Predict(
	Matrix<T> features
)

Parameters

features  Matrix<T>
A matrix containing feature vectors, where each row represents a separate input instance to be predicted.

Return Value

Vector<T>
A vector containing the predicted values for each input row in the features matrix. The order of predictions corresponds to the order of rows in the input matrix.

Predict(Vector<T>)

Predicts an output value based on the provided feature vector.
C# 
public abstract T Predict(
	Vector<T> features
)

Parameters

features  Vector<T>
The input vector containing feature values used for prediction. Cannot be null.

Return Value

T
The predicted value of type T, computed from the input features.

Remarks

Implementations may use different algorithms or models to perform prediction. The behavior and accuracy of the prediction depend on the specific implementation.

See Also