How does h2o.cor deal with categorical data
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
asked Nov 12 '18 at 15:34
CarmenCarmen
4717
add a comment |
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
asked Nov 12 '18 at 15:34
CarmenCarmen
4717
add a comment |
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
asked Nov 12 '18 at 15:34
CarmenCarmen
4717
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
h2o
asked Nov 12 '18 at 15:34
CarmenCarmen
4717
asked Nov 12 '18 at 15:34
CarmenCarmen
4717
asked Nov 12 '18 at 15:34
CarmenCarmen
4717
asked Nov 12 '18 at 15:34
CarmenCarmen
4717
asked Nov 12 '18 at 15:34
CarmenCarmen
4717
4717
add a comment |
add a comment |
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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).
answered Nov 13 '18 at 20:56
LaurenLauren
3,0211515
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1 Answer
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1 Answer
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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).
answered Nov 13 '18 at 20:56
LaurenLauren
3,0211515
add a comment |
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).
answered Nov 13 '18 at 20:56
LaurenLauren
3,0211515
add a comment |
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).
answered Nov 13 '18 at 20:56
LaurenLauren
3,0211515
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).
answered Nov 13 '18 at 20:56
LaurenLauren
3,0211515
answered Nov 13 '18 at 20:56
LaurenLauren
3,0211515
answered Nov 13 '18 at 20:56
LaurenLauren
3,0211515
answered Nov 13 '18 at 20:56
LaurenLauren
3,0211515
3,0211515
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