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WeightedRegressionWeightedT Method (IEnumerableTupleT, T, T, Boolean)
Weighted Linear Regression using normal equations.

Namespace:  MathNet.Numerics.LinearRegression
Assembly:  MathNet.Numerics (in MathNet.Numerics.dll) Version: 3.7
Syntax
C#
public static T[] Weighted<T>(
	IEnumerable<Tuple<T[], T>> samples,
	T[] weights,
	bool intercept = false
)
where T : struct, new(), IEquatable<T>, IFormattable

Parameters

samples
Type: System.Collections.GenericIEnumerableTupleT, T
List of sample vectors (predictor) together with their response.
weights
Type: T
List of weights, one for each sample.
intercept (Optional)
Type: SystemBoolean
True if an intercept should be added as first artificial predictor value. Default = false.

Type Parameters

T

Return Value

Type: T

[Missing <returns> documentation for "M:MathNet.Numerics.LinearRegression.WeightedRegression.Weighted``1(System.Collections.Generic.IEnumerable{System.Tuple{``0[],``0}},``0[],System.Boolean)"]

See Also