void _Add(IColumn column, int index)
{
var type = column.Type;
if (!_invalidColumnType.Contains(type))
{
if (ColumnTypeClassifier.IsNumeric(column))
{
_column.Add(new NumberCollector(index));
}
else if (type == ColumnType.String)
{
_column.Add(new StringCollector(index));
}
else if (type == ColumnType.IndexList || type == ColumnType.WeightedIndexList)
{
_column.Add(new IndexCollector(index));
}
else if (type == ColumnType.Date)
{
_column.Add(new DateCollector(index));
}
else if (type == ColumnType.Vector || type == ColumnType.Matrix || type == ColumnType.Tensor)
{
_column.Add(new DimensionCollector(index));
}
else if (ColumnTypeClassifier.IsCategorical(column))
{
_column.Add(new FrequencyCollector(index));
}
}
}
public TableInfo(IDataTable table)
{
_classColumnIndex = table.TargetColumnIndex;
for (int i = 0, len = table.ColumnCount; i < len; i++) {
if (i != _classColumnIndex) {
var column = table.Columns[i];
if (column.IsContinuous)
_continuous.Add(i);
else if (ColumnTypeClassifier.IsCategorical(column))
_categorical.Add(i);
}
}
table.ForEach(row => _data.Add(new InMemoryRow(row, _categorical, _continuous, _classColumnIndex)));
}
public FrequencyAnalysis(IDataTable table, int ignoreColumnIndex = -1)
{
int index = 0;
foreach (var item in table.Columns)
{
if (index != ignoreColumnIndex)
{
if (item.IsContinuous)
{
_column.Add(new NumberCollector(index));
}
else if (ColumnTypeClassifier.IsCategorical(item))
{
_column.Add(new FrequencyCollector(index));
}
}
++index;
}
}