further work on presentation

2025-05-28 17:13:38 +02:00
parent f177b44317
commit 66eef6a44b
2 changed files with 2 additions and 0 deletions
@@ -44,12 +44,14 @@
    - 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
    - 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
        - overall error in days
        - error before and after ovulation
        - error at ovulation
        - error 5 days before ovulation -> start of fertile window, most important for conception
    - 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"