How does h2o.cor deal with categorical data











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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?






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    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?






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      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?






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      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?






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          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).






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            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).






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              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).






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                up vote
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                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).







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                answered 7 hours ago









                Lauren

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