public IDataView Load(string trainingDataPath)
{
var reader = new TextLoader(_mlContext,
new TextLoader.Arguments()
{
Separator = ",",
HasHeader = true,
Column = new[]
{
new TextLoader.Column("CustomerId", DataKind.I4, 0),
new TextLoader.Column("Gender", DataKind.Text, 1),
new TextLoader.Column("Age", DataKind.I4, 2),
new TextLoader.Column("AnnualIncome", DataKind.R4, 3),
new TextLoader.Column("SpendingScore", DataKind.R4, 4),
}
});
var file = _mlContext.OpenInputFile(trainingDataPath);
var src = new FileHandleSource(file);
return(reader.Read(src));
}
private LocalEnvironment _mlContext = new LocalEnvironment(seed: null); // v0.6;
public Task <IEnumerable <ClusteringRawData> > Load(string trainingDataPath)
{
return(Task.Run(() =>
{
var reader = new TextLoader(_mlContext,
new TextLoader.Arguments()
{
Separator = ",",
HasHeader = true,
Column = new[]
{
new TextLoader.Column("CustomerId", DataKind.I4, 0),
new TextLoader.Column("Gender", DataKind.Text, 1),
new TextLoader.Column("Age", DataKind.I4, 2),
new TextLoader.Column("AnnualIncome", DataKind.R4, 3),
new TextLoader.Column("SpendingScore", DataKind.R4, 4),
}
});
var file = _mlContext.OpenInputFile(trainingDataPath);
var src = new FileHandleSource(file);
return reader.Read(src).AsEnumerable <ClusteringRawData>(_mlContext, false);
}));
}
