You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
You have some time series data that you wish to run through dbscan, only to find that your eps value is much lower than what produces expected results.
Warn users when they are performing potentially imprecise clustering.
Describe alternatives you've considered, if relevant
I recognize this as a fair user error that may be out of scope for the project, but allowing for some kind of raise_precision_warnings option might be very helpful to many users. Perhaps for other algorithms as well.
After revisiting this, I found a preprocessing error on my end that was causing unexpected results. I'm going to close this because I am no longer able to reproduce the precision error I thought I was dealing with.
Uh oh!
There was an error while loading. Please reload this page.
Describe the workflow you want to enable
You have some time series data that you wish to run through dbscan, only to find that your eps value is much lower than what produces expected results.
Consider
It is reasonable for me to assume
8.0
as a fair eps value.However
Maybe you run some optimization that finds a value that works...
But 37 isn't a good value.
One suggestion is to proportionally scale your data/eps (which is totally fine! There are probably other ways the user should deal with this.)
Describe your proposed solution
Warn users when they are performing potentially imprecise clustering.
Describe alternatives you've considered, if relevant
I recognize this as a fair user error that may be out of scope for the project, but allowing for some kind of
raise_precision_warnings
option might be very helpful to many users. Perhaps for other algorithms as well.Additional context
The text was updated successfully, but these errors were encountered: