How does h2o.cor deal with categorical data











up vote
1
down vote

favorite












h2o.cor function is very powerful because it deals with categorical data, however, on h2o's kmeans function, that also only traditionally deal with numerical data, allows you to specify the categorical_encoding used - how does the h2o.cor function deal with categorical data?










share|improve this question


























    up vote
    1
    down vote

    favorite












    h2o.cor function is very powerful because it deals with categorical data, however, on h2o's kmeans function, that also only traditionally deal with numerical data, allows you to specify the categorical_encoding used - how does the h2o.cor function deal with categorical data?










    share|improve this question
























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      h2o.cor function is very powerful because it deals with categorical data, however, on h2o's kmeans function, that also only traditionally deal with numerical data, allows you to specify the categorical_encoding used - how does the h2o.cor function deal with categorical data?










      share|improve this question













      h2o.cor function is very powerful because it deals with categorical data, however, on h2o's kmeans function, that also only traditionally deal with numerical data, allows you to specify the categorical_encoding used - how does the h2o.cor function deal with categorical data?







      h2o






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked yesterday









      Carmen

      4717




      4717
























          1 Answer
          1






          active

          oldest

          votes

















          up vote
          0
          down vote













          For H2O-3 version 3.22 and earlier the h2o.cor() function is only meant to be applied to numeric type columns (so it doesn't handle categorical columns). If you try to run h2o.cor() on categorical columns it should return NA (the exception being a binary column, because it can be mapped to numeric 0/1).






          share|improve this answer





















            Your Answer






            StackExchange.ifUsing("editor", function () {
            StackExchange.using("externalEditor", function () {
            StackExchange.using("snippets", function () {
            StackExchange.snippets.init();
            });
            });
            }, "code-snippets");

            StackExchange.ready(function() {
            var channelOptions = {
            tags: "".split(" "),
            id: "1"
            };
            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',
            convertImagesToLinks: true,
            noModals: true,
            showLowRepImageUploadWarning: true,
            reputationToPostImages: 10,
            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%2fstackoverflow.com%2fquestions%2f53265386%2fhow-does-h2o-cor-deal-with-categorical-data%23new-answer', 'question_page');
            }
            );

            Post as a guest
































            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            0
            down vote













            For H2O-3 version 3.22 and earlier the h2o.cor() function is only meant to be applied to numeric type columns (so it doesn't handle categorical columns). If you try to run h2o.cor() on categorical columns it should return NA (the exception being a binary column, because it can be mapped to numeric 0/1).






            share|improve this answer

























              up vote
              0
              down vote













              For H2O-3 version 3.22 and earlier the h2o.cor() function is only meant to be applied to numeric type columns (so it doesn't handle categorical columns). If you try to run h2o.cor() on categorical columns it should return NA (the exception being a binary column, because it can be mapped to numeric 0/1).






              share|improve this answer























                up vote
                0
                down vote










                up vote
                0
                down vote









                For H2O-3 version 3.22 and earlier the h2o.cor() function is only meant to be applied to numeric type columns (so it doesn't handle categorical columns). If you try to run h2o.cor() on categorical columns it should return NA (the exception being a binary column, because it can be mapped to numeric 0/1).






                share|improve this answer












                For H2O-3 version 3.22 and earlier the h2o.cor() function is only meant to be applied to numeric type columns (so it doesn't handle categorical columns). If you try to run h2o.cor() on categorical columns it should return NA (the exception being a binary column, because it can be mapped to numeric 0/1).







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered 7 hours ago









                Lauren

                2,6411515




                2,6411515






























                     

                    draft saved


                    draft discarded



















































                     


                    draft saved


                    draft discarded














                    StackExchange.ready(
                    function () {
                    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53265386%2fhow-does-h2o-cor-deal-with-categorical-data%23new-answer', 'question_page');
                    }
                    );

                    Post as a guest




















































































                    Popular posts from this blog

                    How to change which sound is reproduced for terminal bell?

                    Can I use Tabulator js library in my java Spring + Thymeleaf project?

                    Title Spacing in Bjornstrup Chapter, Removing Chapter Number From Contents