private Dataset LoadTrainingData(DataDense trainData)
{
if (trainData == null)
{
throw new ArgumentNullException(nameof(trainData));
}
trainData.Validate();
// TODO: not parallelised, better off to concat data and pass in as a single matrix?
Dataset dtrain = CreateDatasetFromSamplingData(trainData, Common, Dataset);
return(dtrain);
}
private Dataset LoadValidationData(Dataset dtrain, DataDense validData)
{
if (validData == null)
{
throw new ArgumentNullException(nameof(validData));
}
validData.Validate();
var dvalid = new Dataset(validData.Features
, validData.NumColumns
, Common
, Dataset
, validData.Labels
, validData.Weights
, validData.Groups
, dtrain
);
return(dvalid);
}