Opened 5 years ago
Last modified 5 years ago
#118 closed task
Finalize model implementation — at Version 9
Reported by: | cedric | Owned by: | cedric |
---|---|---|---|
Priority: | blocker | Milestone: | GT4 EDA final |
Component: | GT4 model EDA | Version: | EDA2.3 |
Keywords: | Cc: |
Description (last modified by maria)
TODO
general
Finaliser l'intégration des transports
Test parallel processing for caret
calibrer les modèles de cumul (finaliser le travail) pour créer une variable qui mixe distance mer et cumul ouvrage
delta
Find best fit
gamma
Find best fit
caret
Create function for delta model validation
Create function for gamma model validation
Utiliser create folds pour delta gamma
Change History (9)
comment:1 Changed 5 years ago by cedric
- Priority changed from major to critical
comment:2 Changed 5 years ago by cedric
- Priority changed from critical to blocker
comment:3 Changed 5 years ago by cedric
- Description modified (diff)
- Summary changed from Finaliser l'implémentation des modèles to Finalize model implementation
comment:4 Changed 5 years ago by cedric
- Description modified (diff)
- Resolution set to duplicate
- Status changed from new to closed
comment:5 Changed 5 years ago by cedric
- Resolution duplicate deleted
- Status changed from closed to reopened
comment:6 Changed 5 years ago by cedric
- Status changed from reopened to accepted
comment:7 Changed 5 years ago by cedric
comment:8 Changed 5 years ago by cedric
One of the question is how to treat these huge number of data where we expect we have transport. One of the solution is to remove the few points where we have an eel and model with this |
# OR (see discussion in ticket 118) pb_transport <- ddd$transport!="unknown" # 15640 ddd <- ddd[!pb_transport,] # 33658
comment:9 Changed 5 years ago by maria
- Description modified (diff)
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best model for delta so far
# s("cs_height_10_n.,distanceseakm") best model deviance 72.7 AIC 9115