best_weighted_average: Find best weights for each model in an ensemble
In vidarsumo/sumots: Helper functions for Sumo Analytics
View source: R/best_weighted_average.R
Description
Find best weights for each model in an ensemble
Usage
1
best_weighted_average(submodels, n_weight, parallel = TRUE, splits)
Arguments
submodels
Modeltable with models to average
n_weight
Number of different weights per weight. Example: n_weight = 3 means expand_grid(w1 = 0:3, w2 = 0:3) for two models
vidarsumo/sumots documentation built on June 29, 2021, 4:23 a.m.
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View source: R/best_weighted_average.R
Description
Find best weights for each model in an ensemble
Usage
1 | best_weighted_average(submodels, n_weight, parallel = TRUE, splits)
|
Arguments
submodels |
Modeltable with models to average |
n_weight |
Number of different weights per weight. Example: n_weight = 3 means expand_grid(w1 = 0:3, w2 = 0:3) for two models |
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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