optimize_h2o_model: Wrapper Function for optimizing H2O models
In Bilot/AI-jack-opensource-R: Package for Machine Learning project handling
Description
Usage
Arguments
Value
Description
Allowed algorithms: 'glm', 'gbm', 'xgboost',
'decisionTree', 'randomForest', 'deeplearning',
and 'automl'.
Usage
1
optimize_h2o_model(df, set, estimator, runid)
Arguments
df
list of H2OFrames
set
config object
estimator
which model algorithm should be optimized?
runid
run ID
Value
: optimized model and performance of the best model
Bilot/AI-jack-opensource-R documentation built on July 28, 2020, 1:15 a.m.
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Description Usage Arguments Value
Description
Allowed algorithms: 'glm', 'gbm', 'xgboost',
'decisionTree', 'randomForest', 'deeplearning',
and 'automl'.
Usage
1 | optimize_h2o_model(df, set, estimator, runid)
|
Arguments
df |
list of H2OFrames |
set |
config object |
estimator |
which model algorithm should be optimized? |
runid |
run ID |
Value
: optimized model and performance of the best model
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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