alex/temperature-based-fertility-prediction-thesis
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

further work on presentation

Browse Source
This commit is contained in:
Alex
2025-05-28 17:13:38 +02:00
parent f177b44317
commit 66eef6a44b
2 changed files with 2 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
presentation/notes
+2
View File
@@ -44,12 +44,14 @@
- targets: time until / since ovulation (linear regression), prob for biphasic cycle (binary classification) - targets: time until / since ovulation (linear regression), prob for biphasic cycle (binary classification)
- train set of model: lstm, conv lstm, transformer decoder and conv with transformer decoder - train set of model: lstm, conv lstm, transformer decoder and conv with transformer decoder
- use multiple input configurations -> different input window sizes, different sampling rates - use multiple input configurations -> different input window sizes, different sampling rates
- no cross user training -> splits by user
- evaluation on domain specific metrics: -> some are more important than others, depending on the use case - evaluation on domain specific metrics: -> some are more important than others, depending on the use case
- overall error in days - overall error in days
- error before and after ovulation - error before and after ovulation
- error at ovulation - error at ovulation
- error 5 days before ovulation -> start of fertile window, most important for conception - error 5 days before ovulation -> start of fertile window, most important for conception
- how do errors change over the course of one users cycles? - how do errors change over the course of one users cycles?
- only take previous cycles for all cycles of a user
- visually show "training pipeline" - visually show "training pipeline"
presentation/presentation_scads_template.odp
BIN
View File
Binary file not shown.