private static ColumnInferenceResult InferColumns(MLContext context,
TextFileSample sample, Func <TextLoader, IDataView> createDataView, string label,
bool hasHeader, string separator, bool?isQuoted, bool?isSparse)
{
var splitInference = InferSplit(sample, separator, isQuoted, isSparse);
var typeInference = InferColumnTypes(context, sample, splitInference);
var typedLoaderArgs = new TextLoader.Arguments
{
Column = ColumnTypeInference.GenerateLoaderColumns(typeInference.Columns),
Separator = splitInference.Separator,
AllowSparse = splitInference.AllowSparse,
AllowQuoting = splitInference.AllowQuote,
HasHeader = hasHeader
};
var textLoader = context.Data.CreateTextReader(typedLoaderArgs);
var dataView = createDataView(textLoader);
var purposeInferenceResult = PurposeInference.InferPurposes(context, dataView, label);
// infer column grouping and generate column names
var groupingResult = ColumnGroupingInference.InferGroupingAndNames(context, hasHeader,
typeInference.Columns, purposeInferenceResult);
// build result objects & return
var inferredColumns = groupingResult.Select(c => (c.GenerateTextLoaderColumn(), c.Purpose)).ToArray();
return(new ColumnInferenceResult(inferredColumns, splitInference.AllowQuote, splitInference.AllowSparse, splitInference.Separator, hasHeader));
}
public static IEnumerable <SuggestedTransform> InferTransforms(MLContext context, IDataView data, string label,
IDictionary <string, ColumnPurpose> purposeOverrides = null)
{
// infer column purposes
var purposes = PurposeInference.InferPurposes(context, data, label, purposeOverrides);
return(TransformInference.InferTransforms(context, data, purposes));
}