cutoff_time? you can pass in a different cutoff time for each instance id. you'd have to write the code to determine what the cutoff time per customer is, but once you do you can pass it to featuretools. does that apply to your situation?
custom_primitive = make_trans_primitive(...) ft.dfs(trans_primitives=[custom_primitive],...)
I've been using this tool the past few days and it has been great so far. I work heavily with financial data and noticed that when I'm creating my EntitySet if I have column names as dtype int I get a failure message.
I was wondering if this is desired behavior that the column names need to be dtype str for the entity set to work.
Thank you for the awesome product.
locations.PERCENT_TRUE(appointments.sms_received)gives the percent of rows for which
True, given a single location. I'd expect that column to be the same for all rows of a single location, because that's what it was conditioned on, but I'm not finding that to be the case. Any ideas why?
fm.loc[fm.neighborhood == 'HORTO', 'locations.PERCENT_TRUE(appointments.sms_received)'].describe()I get: