compute_predictions: Retrieve the final (optimal) models
In hrvg/RiverML: Machine Learning for River Science
Description
Usage
Arguments
Value
View source: R/ml_predictions.R
Description
Retrieve the final (optimal) models
Usage
1
compute_predictions(REGIONS, mods, TARGET, TUNE_FS)
Arguments
REGIONS
character, the task.id identifiers and the list of area of study
mods
a named list of models returned by get_final_models()
TARGET
logical, default to TRUE, toggle the target or training datasets
TUNE_FS
logical, toggle the behaviour for the feature selection
Value
a named list with predictions
hrvg/RiverML documentation built on Oct. 12, 2020, 10:40 a.m.
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Description Usage Arguments Value
View source: R/ml_predictions.R
Description
Retrieve the final (optimal) models
Usage
1 | compute_predictions(REGIONS, mods, TARGET, TUNE_FS)
|
Arguments
REGIONS |
|
mods |
a named list of models returned by |
TARGET |
|
TUNE_FS |
|
Value
a named list with predictions
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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