---
title: "vector(for:)"
framework: naturallanguage
role: symbol
role_heading: Instance Method
path: "naturallanguage/nlembedding/vector(for:)"
---

# vector(for:)

Requests the vector for the given term.

## Declaration

```swift
@nonobjc func vector(for string: String) -> [Double]?
```

## Parameters

- `string`: The term to find in the word embedding.

## Mentioned in

Finding similarities between pieces of text

## Return Value

Return Value A vector represented as an array of doubles if present in the word embedding, otherwise nil.

## See Also

### Inspecting the vocabulary of an embedding

- [dimension](naturallanguage/nlembedding/dimension.md)
- [vocabularySize](naturallanguage/nlembedding/vocabularysize.md)
- [language](naturallanguage/nlembedding/language.md)
- [contains(_:)](naturallanguage/nlembedding/contains(_:).md)
- [revision](naturallanguage/nlembedding/revision.md)