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?
h2o
asked Nov 12 at 15:34
Carmen
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up vote
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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?
h2o
asked Nov 12 at 15:34
Carmen
4717
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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?
h2o
asked Nov 12 at 15:34
Carmen
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 at 15:34
Carmen
4717
asked Nov 12 at 15:34
Carmen
4717
asked Nov 12 at 15:34
Carmen
4717
asked Nov 12 at 15:34
Carmen
4717
asked Nov 12 at 15:34
Carmen
4717
4717
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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 at 20:56
Lauren
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1 Answer
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1 Answer
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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).
answered Nov 13 at 20:56
Lauren
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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).
answered Nov 13 at 20:56
Lauren
2,9561515
add a comment |
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).
answered Nov 13 at 20:56
Lauren
2,9561515
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 at 20:56
Lauren
2,9561515
answered Nov 13 at 20:56
Lauren
2,9561515
answered Nov 13 at 20:56
Lauren
2,9561515
answered Nov 13 at 20:56
Lauren
2,9561515
2,9561515
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