19 references to ReadFloatArray
Microsoft.ML.Core (2)
Utilities\Stream.cs (2)
473return ReadFloatArray(reader, size); 507return reader.ReadFloatArray(size);
Microsoft.ML.Ensemble (1)
Trainer\EnsembleModelParametersBase.cs (1)
62Weights = ctx.Reader.ReadFloatArray(weightCount);
Microsoft.ML.KMeansClustering (1)
KMeansModelParameters.cs (1)
135var values = ctx.Reader.ReadFloatArray(count);
Microsoft.ML.PCA (3)
PcaTrainer.cs (2)
494var meanArray = ctx.Reader.ReadFloatArray(_dimension); 509var vi = ctx.Reader.ReadFloatArray(_dimension);
PcaTransformer.cs (1)
134Eigenvectors[i] = ctx.Reader.ReadFloatArray(Dimension);
Microsoft.ML.StandardTrainers (10)
LdSvm\LdSvmModelParameters.cs (4)
116_biasW = ctx.Reader.ReadFloatArray(_numLeaf * 2 - 1); 117_biasTheta = ctx.Reader.ReadFloatArray(_numLeaf - 1); 118_biasThetaPrime = ctx.Reader.ReadFloatArray(_numLeaf * 2 - 1); 237result[i] = new VBuffer<float>(vectorLength, ctx.Reader.ReadFloatArray(vectorLength));
Standard\LinearModelParameters.cs (1)
194var weights = ctx.Reader.ReadFloatArray(cwht);
Standard\LogisticRegression\MulticlassLogisticRegression.cs (3)
557Biases = ctx.Reader.ReadFloatArray(NumberOfClasses); 571var w = ctx.Reader.ReadFloatArray(NumberOfFeatures); 600float[] values = ctx.Reader.ReadFloatArray(starts[i + 1] - starts[i]);
Standard\ModelStatistics.cs (2)
275float[] stdErrorValues = ctx.Reader.ReadFloatArray(ParametersCount); 296var weightsValues = ctx.Reader.ReadFloatArray(weightsLength);
Microsoft.ML.Transforms (2)
Dracula\Featurizer.cs (2)
89PriorCoef = ctx.Reader.ReadFloatArray(_countTables.ColCount); 92LaplaceScale = ctx.Reader.ReadFloatArray(_countTables.ColCount);