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Re: Custom preprocessing steps in the Features Handling section in model design
Hello, (Repost from our official customer support channel) In a custom preprocessing, you cannot declare a function nor class as those won't be pickled. You need to define it in a library, at either …2 · -
Re: Prepare recipe creator
Hi Tomas, The type argument should be "shaker", not "prepare" in the code snippet you included. We have already logged the request to add additional code samples on this part of t…1 · -
Re: Custom variables type always string ?
Hi, To do what you want, you can use the argument "typed" as shown below: dataiku.get_custom_variables(typed = True) Hope it helps, Alex2 · -
Re: Nested Cross Validation, Group Fold, and support for column with fold id assignment?
Hello, Thanks for your input. Please find answers below in italic: 1- Although we have a custom kfold option on the grid search (inner), we don't have the custom option for kfold in train/test (outer…1 · -
Re: How can I avoid a spark.driver.maxResultSize error when running a Visual Analysis
Hi, Spark MLLib is a distributed ML library which requires a lot of technical tuning, compared to other methods. In this case, fortunately, Spark MLLib gives you a recommendation of which parameter t…1 ·
