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Builtin Reference
    • addDependencyDetails
    • addEntityDetails
    • addLemmaDetails
    • addPartOfSpeechDetails
    • addSentenceDetails
    • addTypeDetails
    • bagOfNgrams
    • bagOfWords
    • cosineSimilarity
    • doc2sequence
    • encode
    • extractFileText
    • extractHTMLText
    • fastTextWordEmbedding
    • findElement
    • getAttribute
    • htmlTree
    • ind2word
    • isVocabularyWord
    • normalizeWords
    • readWordEmbedding
    • removeLongWords
    • removeShortWords
    • removeStopWords
    • removeWords
    • stopWords
    • tokenDetails
    • tokenizedDocument
    • trainWordEmbedding
    • vaderSentimentScores
    • vec2word
    • word2ind
    • word2vec
    • wordEncoding
    • writeWordEmbedding

writeWordEmbedding — Write a word embedding model to a UTF-8 word2vec text file.

writeWordEmbedding(emb, filename) writes a wordEmbedding object to a UTF-8 text file in word2vec text format.

Syntax

writeWordEmbedding(emb, filename)

Inputs

NameTypeRequiredDefaultDescription
embAnyYes—wordEmbedding object.
filenameAnyYes—Target UTF-8 word2vec text file.

Errors

IdentifierWhenMessage
RunMat:writeWordEmbedding:InvalidInputInputs do not match the supported writeWordEmbedding form.writeWordEmbedding received invalid input
RunMat:writeWordEmbedding:IOErrorThe requested word embedding file cannot be written.Unable to write word embedding file

How writeWordEmbedding works

  • emb must be a wordEmbedding object with Dimension, Vocabulary, and vector storage created by readWordEmbedding, trainWordEmbedding, or fastTextWordEmbedding.
  • filename may be a string scalar, character vector, or a 1-by-1 cell array containing a character vector.
  • The output file starts with a numWords dimension header followed by one row per vocabulary word and its vector values.
  • The target file is created or overwritten. Parent directories must already exist.
  • Vocabulary entries containing whitespace and non-finite vector values are rejected because word2vec text rows cannot represent them unambiguously.
  • Binary word2vec output, zip output, append mode, and format-selection options are not part of the compatibility target's documented writeWordEmbedding syntax and are not accepted.
  • The filename must be host text. Native integer and resident numeric filename values are rejected before provider or filesystem access.

GPU memory and residency

writeWordEmbedding is a host file-I/O sink and does not launch provider kernels. Resident numeric filename inputs are rejected rather than gathered because they are not valid paths.

Examples

Write a trained embedding

documents = tokenizedDocument(["red blue red"; "green blue"]);
emb = trainWordEmbedding(documents, 'Dimension', 8, 'MinCount', 1);
writeWordEmbedding(emb, "colors.vec")

Expected output:

`colors.vec` contains UTF-8 word2vec text embedding data.

Round-trip an embedding file

writeWordEmbedding(emb, "model.vec");
copy = readWordEmbedding("model.vec");
copy.Dimension

Expected output:

`copy` is a `wordEmbedding` object with the same vocabulary and vectors.

Using writeWordEmbedding with coding agents

Open a RunMat example with live inputs, then ask the agent to explain how writeWordEmbedding changes the result.

Run a small writeWordEmbedding example, explain the result, then change one input and compare the output.

FAQ

What file format does writeWordEmbedding use?⌄

It writes UTF-8 word2vec text format with a header row and one word-vector row per vocabulary entry.

Does writeWordEmbedding create folders?⌄

No. Create the parent folder first with mkdir if needed.

Does writeWordEmbedding execute on the GPU?⌄

No. It is host object serialization and file I/O.

Related Strings functions

Text Analytics

addDependencyDetails · addEntityDetails · addLemmaDetails · addPartOfSpeechDetails · addSentenceDetails · addTypeDetails · bagOfNgrams · bagOfWords · cosineSimilarity · doc2sequence · encode · extractFileText · extractHTMLText · fastTextWordEmbedding · findElement · getAttribute · htmlTree · ind2word · isVocabularyWord · normalizeWords · readWordEmbedding · removeLongWords · removeShortWords · removeStopWords · removeWords · stopWords · tokenDetails · tokenizedDocument · trainWordEmbedding · vaderSentimentScores · vec2word · word2ind · word2vec · wordEncoding

Transform

append · deblank · erase · eraseBetween · erasePunctuation · eraseURLs · extractAfter · extractBefore · extractBetween · insertAfter · insertBefore · join · lower · pad · replace · replaceBetween · reverse · split · splitlines · strcat · strip · strjoin · strjust · strrep · strsplit · strtrim · upper

Core

blanks · char · compose · convertCharsToStrings · convertContainedStringsToChars · convertStringsToChars · genvarname · int2str · isletter · isspace · isStringScalar · isstrprop · mat2str · native2unicode · newline · num2str · sprintf · sscanf · str2double · str2num · strcmp · strcmpi · string · string.empty · strings · strlength · strncmp · strncmpi · strtok · unicode2native

Search

contains · endsWith · matches · startsWith · strfind

Pattern

digitsPattern · lettersPattern · pattern · regexpPattern · textBoundary · wildcardPattern

Regex

regexp · regexpi · regexprep

Open-source implementation

Unlike proprietary runtimes, every RunMat function is open-source. Read exactly how writeWordEmbedding is executed, line by line, in Rust.

  • View the source for writeWordEmbedding in Rust on GitHub
  • Learn how the RunMat runtime works
  • Found a bug? Open an issue with a minimal reproduction.

About RunMat

RunMat is an open-source runtime that executes MATLAB-syntax code blazing on any GPU. It is licensed under the Apache 2.0 license.

  • RunMat automatically optimizes your math for GPU execution on Apple, Nvidia, and AMD hardware. No code changes needed. Simulations that took hours now take minutes.
  • Start running code in seconds. RunMat runs in the browser, on the desktop, or from the CLI. No license server, no IT ticket.

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On this page
  • Syntax
  • Inputs
  • Errors
  • How writeWordEmbedding works
  • GPU memory and residency
  • Examples
  • Write a trained embedding
  • Round-trip an embedding file
  • Using writeWordEmbedding with coding agents
  • FAQ
  • Related Strings functions
  • Text Analytics
  • Transform
  • Core
  • Search
  • Pattern
  • Regex
  • Open-source implementation
  • About RunMat