Re: Zero Coefficient in logistic regression

Alexis Peña <alexis.p...@exalitica.com>, <user@spark.apache.org> Asunto: Re: Zero Coefficient in logistic regression So, all the coefficients are the same but for CRUZADAS? How are you fitting the model in R (glm)? Can you try setting zero penalty for alpha and lambda

Re: Zero Coefficient in logistic regression

-0,161424508 Thanks *De: *Weichen Xu <weichen...@databricks.com> *Fecha: *martes, 24 de octubre de 2017, 07:23 *Para: *Alexis Peña <alexis.p...@exalitica.com> *CC: *"user @spark" <user@spark.apache.org> *Asunto: *Re: Zero Coefficient in logistic regression Yes chi

Re: Zero Coefficient in logistic regression

-0,161424508 Thanks De: Weichen Xu <weichen...@databricks.com> Fecha: martes, 24 de octubre de 2017, 07:23 Para: Alexis Peña <alexis.p...@exalitica.com> CC: "user @spark" <user@spark.apache.org> Asunto: Re: Zero Coefficient in logistic regression Yes chi

Re: Zero Coefficient in logistic regression

Yes chi-squared statistic only used in categorical features. It looks not proper here. Thanks! On Tue, Oct 24, 2017 at 5:13 PM, Simon Dirmeier wrote: > Hey, > as far as I know feature selection using the a chi-squared statistic, can > only be done on categorical features

Re: Zero Coefficient in logistic regression

Hey, as far as I know feature selection using the a chi-squared statistic, can only be done on categorical features and not on possibly continuous ones? Furthermore, since your logistic model doesn't use any regularization, you should be fine here. So I'd check the ChiSqSeletor and possibly

Zero Coefficient in logistic regression

Hi Guys, We are fitting a Logistic model using the following code. val Chisqselector = new ChiSqSelector().setNumTopFeatures(10).setFeaturesCol("VECTOR_1").setLabelCol("TARGET").setOutputCol("selectedFeatures") val assembler = new VectorAssembler().setInputCols(Array("FEATURES",