Is there a method of removing a column from my dataset rather than having to eliminate that column from my source data file and reimporting the data from scratch?
It would be a lovely feature to be able to disable a particular column (check box ?) from a dataset that I already have in memory in order to see the impact on model or merely just to remove it because it's in a source file that I'm need to feed to another application for a different purpose other than modeling .
For instance, it's nice to import that DATE field in my input dataset so that I can reference the same row at a later time (exporting it from the score tab but not use if for modeling) , but I don't really need it for modeling. That's just one example , it's not just the date column. I might have a number of potential prediction / dependent variables in the same csv file and might want to easily switch between them without having to do multiple imports and setups.
THx Devon
"Category Mapping and set all the dates to zero".
I was in that panel this morning for the first time. Wasn't completely sure of its purpose.
Is there a way to map all the rows for that column to zero in a single action / click or to I need to set each row individually to zero - one by one ?
Thanks and yes - looking forward to this being added to the next version :>
Both of those will come in very handy!
Change Seed window - I really like this one!!! That's awesome!
Hope these questions and tips are helping others too!!!
:>
p.s
Another possible wish list item - an option (that I can turn on and off) that will check for new updates and if enabled, auto update to the last release (vs having go to website, download, install etc..)
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