Timeline for Python Fitted Sigmoid extreme values barely being used
Current License: CC BY-SA 4.0
3 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 6 at 13:17 | comment | added | Axel Carré | Thank you! Check my comment above. I found out that I could simply interpolate any new value based on the data points directly, and that I was not really looking for a sigmoid especially but rather any cumulative probability function, because even tought this time it looked like sigmoid, I could have data that look more like log if my data set is made of "top" values, that would have been a sigmoid if the set didn't include so much "top" values. If that makes sense. | |
| Jun 5 at 7:59 | history | edited | Igor F. | CC BY-SA 4.0 |
A different approach, with simulation.
|
| Jun 4 at 17:12 | history | answered | Igor F. | CC BY-SA 4.0 |