Batch Processing Logistic Regression Models


Batch Processing Logistic Regression Models

I'm new to Aster, so please forgive me if this is a dumb question.

I have a dataset with five columns: A, B, C, D, E

Columns A, B, C are categorical variables, D is a numeric variable, and E is a binary true/false variable. For every combination of A, B, and C I'd like to build a logistic regression model for predicting E based upon the values of D. So, what I'd like my output to be would be a table with rows like:

A, B, C, relevant logistic regression model data

Is this straightforward in Aster? It seems easy to make a single logistic regression model, but is there a way to make many different logistic regression models for various combinations of categorical variables in one command?



Tags (1)

Re: Batch Processing Logistic Regression Models

Just share my idea, I used GLM to build model. It's support categorial variable mix with numerical. Anyway, might you also look reference from Aster Analytics Foundation Guide.pdf

Hope it could help.

- Top