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Posted to issues@spark.apache.org by "Felix Cheung (JIRA)" <ji...@apache.org> on 2016/11/23 19:47:58 UTC
[jira] [Updated] (SPARK-18569) Support R formula arithmetic
[ https://issues.apache.org/jira/browse/SPARK-18569?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Felix Cheung updated SPARK-18569:
---------------------------------
Description:
I think we should support arithmetic which makes it a lot more convenient to build model. Something like
{code}
log(y) ~ a + log(x)
{code}
And to avoid resolution confusions we should support the I() operator:
{code}
I
I(X∗Z) as is: include a new variable consisting of these variables multiplied
{code}
Such that this works:
{code}
y ~ a + I(b+c)
{code}
the term b+c is to be interpreted as the sum of b and c.
was:
I think we should support arithmetic which makes it a lot more convenient to build model. Something like
{code}
log(y) ~ a + log(x)
{code}
And to avoid resolution confusions we should support the I() operator:
I
I(X∗Z) as is: include a new variable consisting of these variables multiplied
Such that this works:
{code}
y ~ a + I(b+c)
{code}
the term b+c is to be interpreted as the sum of b and c.
> Support R formula arithmetic
> -----------------------------
>
> Key: SPARK-18569
> URL: https://issues.apache.org/jira/browse/SPARK-18569
> Project: Spark
> Issue Type: Sub-task
> Components: ML, SparkR
> Reporter: Felix Cheung
>
> I think we should support arithmetic which makes it a lot more convenient to build model. Something like
> {code}
> log(y) ~ a + log(x)
> {code}
> And to avoid resolution confusions we should support the I() operator:
> {code}
> I
> I(X∗Z) as is: include a new variable consisting of these variables multiplied
> {code}
> Such that this works:
> {code}
> y ~ a + I(b+c)
> {code}
> the term b+c is to be interpreted as the sum of b and c.
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