ezr.h2o_xgb_importance_aggregated: Aggregate Importance by Level in H2o
In jmp1989/easyr: Helpful wrappers for common EDA, Data Manipulation, & Modeling
Description
Usage
Arguments
Value
Description
Aggregate importance for xgboost categorical values into a single variable, just like with gbm or random forest. If you want to see the true importance of a given level of the categorical value, use the regular importance method. The 'type' column in the result will show if it is numeric or categorical, and if categorical, how many levels are present..
Usage
1
Arguments
model
Should be a string of model name
Value
Returns importance metrics, with categoricals aggregated...
jmp1989/easyr documentation built on May 20, 2019, 7:25 a.m.
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.
Description Usage Arguments Value
Description
Aggregate importance for xgboost categorical values into a single variable, just like with gbm or random forest. If you want to see the true importance of a given level of the categorical value, use the regular importance method. The 'type' column in the result will show if it is numeric or categorical, and if categorical, how many levels are present..
Usage
1 |
Arguments
model |
Should be a string of model name |
Value
Returns importance metrics, with categoricals aggregated...
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.