public static ColumnInferenceResults InferColumns(MLContext context, string path, ColumnInformation columnInfo,
char?separatorChar, bool?allowQuotedStrings, bool?supportSparse, bool trimWhitespace, bool groupColumns)
{
var sample = TextFileSample.CreateFromFullFile(path);
var splitInference = InferSplit(context, sample, separatorChar, allowQuotedStrings, supportSparse);
var typeInference = InferColumnTypes(context, sample, splitInference, true, null, columnInfo.LabelColumnName);
return(InferColumns(context, path, columnInfo, true, splitInference, typeInference, trimWhitespace, groupColumns));
}
public static ColumnInferenceResults InferColumns(MLContext context, string path, uint labelColumnIndex,
bool hasHeader, char?separatorChar, bool?allowQuotedStrings, bool?supportSparse, bool trimWhitespace, bool groupColumns)
{
var sample = TextFileSample.CreateFromFullFile(path);
var splitInference = InferSplit(context, sample, separatorChar, allowQuotedStrings, supportSparse);
var typeInference = InferColumnTypes(context, sample, splitInference, hasHeader, labelColumnIndex, null);
// If no headers, suggest label column name as 'Label'
if (!hasHeader)
{
typeInference.Columns[labelColumnIndex].SuggestedName = DefaultColumnNames.Label;
}
var columnInfo = new ColumnInformation()
{
LabelColumnName = typeInference.Columns[labelColumnIndex].SuggestedName
};
return(InferColumns(context, path, columnInfo, hasHeader, splitInference, typeInference, trimWhitespace, groupColumns));
}
