---
title: "init(sequences:)"
framework: createml
role: symbol
role_heading: Initializer
path: "createml/mluntypedcolumn/init(sequences:)"
---

# init(sequences:)

Creates a new column of machine learning sequences by converting the elements of another column.

## Declaration

```swift
init(sequences: MLUntypedColumn)
```

## Parameters

- `sequences`: A column with elements that are convertible to Create ML sequences.

## Return Value

Return Value A new untyped column of doubles; otherwise an invalid column if any element of the given column cannot be converted to MLDataValue.SequenceType.

## Discussion

Discussion Use this initializer to create a column of sequences from another column. As an example, to create a column with this initializer, first start with a column that is convertible to sequences. let intSequenceString = "[1, 2, 3]" let intSequenceString2 = "[4, 5, 6]" let stringsColumn = MLUntypedColumn([intSequenceString, intSequenceString2])

print(stringsColumn) /* Prints...  ValueType: String  Values:        [[1, 2, 3], [4, 5, 6]]  */ Then use init(sequences:) to convert the column to a column of sequences. let sequenceColumn = MLUntypedColumn(sequences: stringsColumn) print(sequenceColumn) /* Prints...  ValueType: Sequence  Values:        [[DataValue(1), DataValue(2), DataValue(3)],                  [DataValue(4), DataValue(5), DataValue(6)]]  */

## See Also

### Creating an untyped column by converting another column

- [init(ints:)](createml/mluntypedcolumn/init(ints:).md)
- [init(doubles:)](createml/mluntypedcolumn/init(doubles:).md)
- [init(strings:)](createml/mluntypedcolumn/init(strings:).md)
- [init(dictionaries:)](createml/mluntypedcolumn/init(dictionaries:).md)
- [init(multiArrays:)](createml/mluntypedcolumn/init(multiarrays:).md)