namespace Microsoft.ML.Probabilistic.Distributions
{
    [DataContract]
    [Quality(QualityBand.Mature)]
    public class VectorGaussianMoments : CanGetAverageLog<VectorGaussianMoments>, CanGetLogAverageOf<VectorGaussianMoments>, CanGetLogAverageOfPower<VectorGaussianMoments>, CanGetLogNormalizer, CanGetLogProb<Vector>, CanGetMean<DenseVector>, CanGetMeanAndVariance<Vector, PositiveDefiniteMatrix>, CanGetMode<DenseVector>, CanGetVariance<PositiveDefiniteMatrix>, CanSetMeanAndVariance<Vector, PositiveDefiniteMatrix>, HasPoint<Vector>, IDistribution, IDistribution<Vector>, Sampleable<Vector>, SettableToUniform, Diffable, SettableTo<VectorGaussianMoments>, SettableToPower<VectorGaussianMoments>, SettableToProduct<VectorGaussianMoments>, SettableToProduct<VectorGaussianMoments, VectorGaussianMoments>, SettableToRatio<VectorGaussianMoments>, SettableToRatio<VectorGaussianMoments, VectorGaussianMoments>, SettableToWeightedSum<VectorGaussianMoments>, ICloneable
    {
        public static T WeightedSum<T>(T result, int dimension, double weight1, T dist1, double weight2, T dist2)
            where T, CanGetMeanAndVariance<Vector, PositiveDefiniteMatrix>, CanSetMeanAndVariance<Vector, PositiveDefiniteMatrix>, SettableToUniform, SettableTo<T>;
    }
}