29 references to Sqrt
Microsoft.ML.Core.Tests (2)
UnitTests\TestVBuffer.cs (2)
99
float l2 = MathUtils.
Sqrt
(l2Squared);
832
var l2Dist = MathUtils.
Sqrt
(l2Dist2);
Microsoft.ML.Data (4)
Deprecated\Vector\VBufferMathUtils.cs (1)
41
return MathUtils.
Sqrt
(NormSquared(in a));
Deprecated\Vector\VectorUtils.cs (2)
385
return MathUtils.
Sqrt
(L2DistSquared(in a, in b));
512
return MathUtils.
Sqrt
(CpuMathUtils.SumSq(a));
Evaluators\MultiOutputRegressionEvaluator.cs (1)
536
dst = MathUtils.
Sqrt
(VectorUtils.L2DistSquared(in label, in score));
Microsoft.ML.KMeansClustering (7)
KMeansPlusPlusTrainer.cs (7)
642
MathUtils.
Sqrt
(newClusterL2 - 2 * VectorUtils.DotProduct(in newClusterFeatures, in oldClusterFeatures) + oldClusterL2);
710
float pointDistance = MathUtils.
Sqrt
(pointDistanceSquared);
1218
float clusterDelta = MathUtils.
Sqrt
(VectorUtils.L2DistSquared(in Centroids[i], in centroids[i]));
1306
_upperBound[n] = MathUtils.
Sqrt
(instanceNormSquared + minDistance);
1307
_lowerBound[n] = MathUtils.
Sqrt
(instanceNormSquared + secMinDistance);
1337
float bestDistance = MathUtils.
Sqrt
(VectorUtils.L2DistSquared(in features, in centroids[_bestCluster[n]]));
1343
float distance = MathUtils.
Sqrt
(VectorUtils.L2DistSquared(in features, in centroids[j]));
Microsoft.ML.Mkl.Components (1)
VectorWhitening.cs (1)
416
eigValues[i] = MathUtils.
Sqrt
(Math.Max(0, eigValues[i]) + ex.Epsilon);
Microsoft.ML.PCA (1)
PcaTrainer.cs (1)
651
return MathUtils.
Sqrt
((norm2X - norm2U) / norm2X); // normalized error
Microsoft.ML.StandardTrainers (6)
FactorizationMachine\FieldAwareFactorizationMachineUtils.cs (1)
47
featureNorm = MathUtils.
Sqrt
(featureNorm);
Optimizer\LineSearch.cs (2)
102
float t2 = Math.Sign(b.Step - a.Step) * MathUtils.
Sqrt
(t1 * t1 - a.Deriv * b.Deriv);
224
private static readonly float _phi = (1 + MathUtils.
Sqrt
(5)) / 2;
Optimizer\SgdOptimizer.cs (1)
192
stepSize = 1 / (_t0 + MathUtils.
Sqrt
(n));
Standard\Online\AveragedLinear.cs (1)
247
rate /= MathUtils.
Sqrt
((float)NumWeightUpdates + NumNoUpdates + 1);
Standard\Online\LinearSvm.cs (1)
243
float normalizer = 1 / (MathUtils.
Sqrt
(_lambda) * VectorUtils.Norm(Weights) * Math.Abs(WeightsScale));
Microsoft.ML.TimeSeries (2)
SrCnnAnomalyDetectionBase.cs (2)
187
magList.Add(MathUtils.
Sqrt
((fftRe[i] * fftRe[i] + fftIm[i] * fftIm[i])));
224
ifftMagList.Add(MathUtils.
Sqrt
((ifftRe[i] * ifftRe[i] + ifftIm[i] * ifftIm[i])));
Microsoft.ML.Transforms (6)
FourierDistributionSampler.cs (1)
186
return (float)Stats.SampleFromGaussian(rand) * MathUtils.
Sqrt
(2 * _gamma);
GcnTransform.cs (3)
542
return MathUtils.
Sqrt
(sumSq / length);
562
return MathUtils.
Sqrt
(sumSq / length);
573
return MathUtils.
Sqrt
(CpuMathUtils.SumSq(mean, values));
RandomFourierFeaturizing.cs (2)
558
scale = MathUtils.
Sqrt
(2.0f / transformInfo.NewDim);
563
scale = MathUtils.
Sqrt
(1.0f / transformInfo.NewDim);