18 references to CreateDense
Microsoft.ML.Data (5)
Evaluators\QuantileRegressionEvaluator.cs (5)
127
TotalL1Loss = VBufferUtils.
CreateDense
<Double>(size);
128
TotalL2Loss = VBufferUtils.
CreateDense
<Double>(size);
129
TotalLoss = VBufferUtils.
CreateDense
<Double>(size);
206
return VBufferUtils.
CreateDense
<Double>(_size);
390
var l1 = VBufferUtils.
CreateDense
<Double>(_scoreSize);
Microsoft.ML.KMeansClustering (4)
KMeansPlusPlusTrainer.cs (4)
223
centroids[i] = VBufferUtils.
CreateDense
<float>(dimensionality);
1061
Centroids[j] = VBufferUtils.
CreateDense
<float>(dimensionality);
1069
CachedSum[j] = VBufferUtils.
CreateDense
<float>(dimensionality);
1415
cachedSumCopy[i] = VBufferUtils.
CreateDense
<float>(dimensionality);
Microsoft.ML.Mkl.Components (1)
SymSgdClassificationTrainer.cs (1)
720
weights = VBufferUtils.
CreateDense
<float>(numFeatures);
Microsoft.ML.PCA (1)
PcaTrainer.cs (1)
226
var mean = _ensureZeroMean ? VBufferUtils.
CreateDense
<float>(dimension) : VBufferUtils.CreateEmpty<float>(dimension);
Microsoft.ML.StandardTrainers (7)
Optimizer\Optimizer.cs (1)
235
return _keepDense ? VBufferUtils.
CreateDense
<float>(Dim) : VBufferUtils.CreateEmpty<float>(Dim);
Standard\LogisticRegression\LbfgsPredictorBase.cs (1)
397
sgdWeights = VBufferUtils.
CreateDense
<float>(BiasCount + WeightCount);
Standard\Online\OnlineLinear.cs (1)
170
Weights = VBufferUtils.
CreateDense
<float>(numFeatures);
Standard\SdcaBinary.cs (4)
478
weights[i] = VBufferUtils.
CreateDense
<float>(numFeatures);
479
bestWeights[i] = VBufferUtils.
CreateDense
<float>(numFeatures);
487
l1IntermediateWeights[i] = VBufferUtils.
CreateDense
<float>(numFeatures);
2060
weights = VBufferUtils.
CreateDense
<float>(numFeatures);