How to count number of word embeddings in Gensim Word2Vec model












1












$begingroup$


I am trying to create a Word2Vec model of the the Pub Med Central corpus using the Gensim library and want to limit the total number of word embeddings to around 1 billion.



I have searched high and low and am unable to find out a) How to count the total number of word-embeddings in a saved model, and b) how to limit the total number of embeddings when training the model (once I hit 1 billion, then stop).



Please forgive my simpleton questions.










share|improve this question











$endgroup$




bumped to the homepage by Community 12 mins ago


This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.




















    1












    $begingroup$


    I am trying to create a Word2Vec model of the the Pub Med Central corpus using the Gensim library and want to limit the total number of word embeddings to around 1 billion.



    I have searched high and low and am unable to find out a) How to count the total number of word-embeddings in a saved model, and b) how to limit the total number of embeddings when training the model (once I hit 1 billion, then stop).



    Please forgive my simpleton questions.










    share|improve this question











    $endgroup$




    bumped to the homepage by Community 12 mins ago


    This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.


















      1












      1








      1





      $begingroup$


      I am trying to create a Word2Vec model of the the Pub Med Central corpus using the Gensim library and want to limit the total number of word embeddings to around 1 billion.



      I have searched high and low and am unable to find out a) How to count the total number of word-embeddings in a saved model, and b) how to limit the total number of embeddings when training the model (once I hit 1 billion, then stop).



      Please forgive my simpleton questions.










      share|improve this question











      $endgroup$




      I am trying to create a Word2Vec model of the the Pub Med Central corpus using the Gensim library and want to limit the total number of word embeddings to around 1 billion.



      I have searched high and low and am unable to find out a) How to count the total number of word-embeddings in a saved model, and b) how to limit the total number of embeddings when training the model (once I hit 1 billion, then stop).



      Please forgive my simpleton questions.







      word2vec word-embeddings gensim






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Aug 18 '18 at 20:47







      horcle_buzz

















      asked Aug 18 '18 at 18:36









      horcle_buzzhorcle_buzz

      1114




      1114





      bumped to the homepage by Community 12 mins ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.







      bumped to the homepage by Community 12 mins ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
























          1 Answer
          1






          active

          oldest

          votes


















          0












          $begingroup$

          Alright, after digging around in methods available to my loaded Word2Vec model I believe the answer is len(model.wv.vectors)...






          share|improve this answer









          $endgroup$














            Your Answer








            StackExchange.ready(function() {
            var channelOptions = {
            tags: "".split(" "),
            id: "557"
            };
            initTagRenderer("".split(" "), "".split(" "), channelOptions);

            StackExchange.using("externalEditor", function() {
            // Have to fire editor after snippets, if snippets enabled
            if (StackExchange.settings.snippets.snippetsEnabled) {
            StackExchange.using("snippets", function() {
            createEditor();
            });
            }
            else {
            createEditor();
            }
            });

            function createEditor() {
            StackExchange.prepareEditor({
            heartbeatType: 'answer',
            autoActivateHeartbeat: false,
            convertImagesToLinks: false,
            noModals: true,
            showLowRepImageUploadWarning: true,
            reputationToPostImages: null,
            bindNavPrevention: true,
            postfix: "",
            imageUploader: {
            brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
            contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
            allowUrls: true
            },
            onDemand: true,
            discardSelector: ".discard-answer"
            ,immediatelyShowMarkdownHelp:true
            });


            }
            });














            draft saved

            draft discarded


















            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f37135%2fhow-to-count-number-of-word-embeddings-in-gensim-word2vec-model%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown

























            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0












            $begingroup$

            Alright, after digging around in methods available to my loaded Word2Vec model I believe the answer is len(model.wv.vectors)...






            share|improve this answer









            $endgroup$


















              0












              $begingroup$

              Alright, after digging around in methods available to my loaded Word2Vec model I believe the answer is len(model.wv.vectors)...






              share|improve this answer









              $endgroup$
















                0












                0








                0





                $begingroup$

                Alright, after digging around in methods available to my loaded Word2Vec model I believe the answer is len(model.wv.vectors)...






                share|improve this answer









                $endgroup$



                Alright, after digging around in methods available to my loaded Word2Vec model I believe the answer is len(model.wv.vectors)...







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Aug 18 '18 at 20:03









                horcle_buzzhorcle_buzz

                1114




                1114






























                    draft saved

                    draft discarded




















































                    Thanks for contributing an answer to Data Science Stack Exchange!


                    • Please be sure to answer the question. Provide details and share your research!

                    But avoid



                    • Asking for help, clarification, or responding to other answers.

                    • Making statements based on opinion; back them up with references or personal experience.


                    Use MathJax to format equations. MathJax reference.


                    To learn more, see our tips on writing great answers.




                    draft saved


                    draft discarded














                    StackExchange.ready(
                    function () {
                    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f37135%2fhow-to-count-number-of-word-embeddings-in-gensim-word2vec-model%23new-answer', 'question_page');
                    }
                    );

                    Post as a guest















                    Required, but never shown





















































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown

































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown







                    Popular posts from this blog

                    Ponta tanko

                    Tantalo (mitologio)

                    Erzsébet Schaár