multi_predict.cv.glmnet: Safe predictions for cross-validated glmnet objects
In alexpghayes/safepredict: Consistent prediction following tidymodels principles
Description
Usage
Arguments
Value
Description
Safe predictions for cross-validated glmnet objects
Usage
1
2
3
## S3 method for class 'cv.glmnet'
multi_predict(object, new_data, type = c("response",
"class", "prob", "link"), ..., params = NULL)
Arguments
object
TODO
new_data
TODO
type
TODO
...
TODO
params
TODO
Value
TODO
alexpghayes/safepredict documentation built on May 29, 2019, 11:02 p.m.
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Description Usage Arguments Value
Description
Safe predictions for cross-validated glmnet objects
Usage
1 2 3 | ## S3 method for class 'cv.glmnet'
multi_predict(object, new_data, type = c("response",
"class", "prob", "link"), ..., params = NULL)
|
Arguments
object |
TODO |
new_data |
TODO |
type |
TODO |
... |
TODO |
params |
TODO |
Value
TODO
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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