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tidymodels
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model-implementation-principles
recommendations for creating R modeling packages
https://tidymodels.github.io/model-implementation-principles/
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Move `master` branch to `main`
#24
jennybc
closed
2 years ago
1
Fix typo
#23
wligtenberg
closed
4 years ago
1
updated docs directory and README
#22
topepo
opened
5 years ago
0
Fix small typos
#21
marlycormar
closed
5 years ago
0
Issue 19
#20
DavisVaughan
closed
5 years ago
0
Regression prediction type should be `"numeric"`
#19
DavisVaughan
closed
5 years ago
0
Do not give model comparison related objects an `anova` class
#18
alexpghayes
opened
5 years ago
0
Don't keep estimates in multiple objects
#17
alexpghayes
opened
5 years ago
1
Settle on an interface for ensembles
#16
alexpghayes
opened
5 years ago
1
Prediction on empty tibbles?
#15
alexpghayes
opened
5 years ago
0
Don't use `match.arg()` to validate `type`
#14
DavisVaughan
opened
5 years ago
0
Add section on _documenting_ modeling functions and predict methods
#13
DavisVaughan
opened
5 years ago
0
Add note about subclassing
#12
alexpghayes
closed
4 years ago
2
Recommend tuning knob for resources allocated to model training
#11
alexpghayes
opened
5 years ago
0
Consider specifying the data structure of model objects
#10
richierocks
opened
5 years ago
3
Add section on how to test models
#9
alexpghayes
opened
5 years ago
2
Check for integer values for arguments
#8
EmilHvitfeldt
opened
5 years ago
2
Subclass note
#7
alexpghayes
closed
6 years ago
0
Add edit button to _bookdown.yml
#6
batpigandme
closed
6 years ago
0
More notes on prediction
#5
alexpghayes
closed
6 years ago
0
Typos and a few changes
#4
DavisVaughan
closed
6 years ago
2
Fixing three small typos
#3
gvwilson
closed
6 years ago
0
Notes from safe_predict development
#2
alexpghayes
closed
6 years ago
14
tranform()-like generic for unsupervised methods
#1
alexpghayes
opened
6 years ago
1