/// <summary> /// Returns the sampler for a specified rng, data type and distribution spec /// </summary> /// <param name="rng">The random stream</param> /// <param name="spec">The distribution specifier</param> /// <typeparam name="T">The sample point type</typeparam> public static ISampler <T> Sampler <T>(this MklRng rng, IDistributionSpec <T> spec) where T : unmanaged { var sampler = default(ISampler <T>); switch (spec.DistKind) { case DistKind.Uniform: sampler = rng.UniformSampler <T>(UniformSpec.From(spec)); break; case DistKind.UniformBits: sampler = rng.UniformBitsSampler <T>(UniformBitsSpec.From(spec)); break; case DistKind.Bernoulli: sampler = rng.BernoulliSampler <T>(BernoulliSpec.From(spec)); break; case DistKind.Gaussian: sampler = rng.GaussianSampler <T>(GaussianSpec.From(spec)); break; default: throw unsupported <T>(); } return(sampler); }
public static ISampler <T> GaussianSampler <T>(this MklRng rng, GaussianSpec <T> spec) where T : unmanaged { var sampler = default(ISampler <T>); if (typeof(T) == typeof(float)) { sampler = samplers.gaussian(rng, spec.ToFloat32()) as ISampler <T>; } else if (typeof(T) == typeof(double)) { sampler = samplers.gaussian(rng, spec.ToFloat64()) as ISampler <T>; } else { throw unsupported <T>(); } return(sampler); }
public GaussianSampler(MklRng src, GaussianSpec <T> distspec, int?buferLen = null) : base(src, distspec, buferLen) { }