func populateWithColumns(t *testing.T, dataset *tabula.Dataset) {
for x := range datasetCols {
col, e := tabula.NewColumnString(datasetCols[x], datasetTypes[x],
datasetNames[x])
if e != nil {
t.Fatal(e)
}
dataset.PushColumn(*col)
}
}
/*
getAsInputColumn return feature values as in input column.
*/
func getAsInputColumn(reader *wvcgen.Reader, colName string,
ftrValues *tabula.Dataset,
) {
ds := reader.GetDataset().(tabula.DatasetInterface)
ftr := ds.GetColumnByName(colName)
if ftr == nil {
return
}
// Add column in input as feature
ftrValues.PushColumn(*ftr)
}
func runFeature(reader *wvcgen.Reader, ftrValues *tabula.Dataset,
md dsv.Metadata,
) {
defer un(trace(">>> computing feature " + md.Name))
ftr := feature.GetByName(md.Name)
// No feature name found, search the column name in
// input metadata.
if ftr == nil {
getAsInputColumn(reader, md.Name, ftrValues)
return
}
ds := reader.GetDataset().(tabula.DatasetInterface)
ftr.Compute(ds)
col := ftr.Interface().(*tabula.Column)
ftrValues.PushColumn(*col)
}
