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Posted to user@spark.apache.org by pikufolgado <pi...@gmail.com> on 2018/10/11 22:46:03 UTC

Classic logistic regression missing !!! (Generalized linear models)

Hi,

I would like to carry out a classic logistic regression analysis. In other
words, without using penalised regression ("glmnet" in R). I have read the
documentation and am not able to find this kind of models.

Is it possible to estimate this? In R the name of the function is "glm".

Best regards



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Re: Classic logistic regression missing !!! (Generalized linear models)

Posted by Stephen Boesch <ja...@gmail.com>.

So the LogisticRegression with regParam and elasticNetParam set to 0 is not
what you are looking for?

https://spark.apache.org/docs/2.3.0/ml-classification-regression.html#logistic-regression

  .setRegParam(0.0)
  .setElasticNetParam(0.0)


Am Do., 11. Okt. 2018 um 15:46 Uhr schrieb pikufolgado <
pikufolgado@gmail.com>:

> Hi,
>
> I would like to carry out a classic logistic regression analysis. In other
> words, without using penalised regression ("glmnet" in R). I have read the
> documentation and am not able to find this kind of models.
>
> Is it possible to estimate this? In R the name of the function is "glm".
>
> Best regards
>
>
>
> --
> Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail: user-unsubscribe@spark.apache.org
>
>