valid_metric: select_models
In andrewsommerlot/startml: Start doing machine learning with training optimization and ensembles of popular machine learning algorithms powered by scalable implementations in h2o
Description
Usage
Arguments
Value
Description
select_models
Usage
1
valid_metric(model_list, eval_metric)
Arguments
model_list
List object of H2O frames containing h2o model objects. No Default.
eval_metric
Character object one of logloss, MSE, RMSE, MAE, AUC, or mean_per_class_error.
Value
List object same length as model_list containing performance of each model on validation data with selected metric.
andrewsommerlot/startml documentation built on May 5, 2019, 6:58 p.m.
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Description Usage Arguments Value
Description
select_models
Usage
1 | valid_metric(model_list, eval_metric)
|
Arguments
model_list |
List object of H2O frames containing h2o model objects. No Default. |
eval_metric |
Character object one of logloss, MSE, RMSE, MAE, AUC, or mean_per_class_error. |
Value
List object same length as model_list containing performance of each model on validation data with selected metric.
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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