Description Usage Arguments Value
dl_autogrid is a wrapper employing built-in settings to run grid search hyper parameter optimizations on deep learning (dl_ algorithms)
1 2 3 4 5 6 | dl_autogrid(train, valid, y, x, eval_metric = "AUTO", wd = getwd(),
folds = NULL, deeplearning_runtime_secs = 10,
deeplearning_stopping_rounds = 10,
deeplearning_stopping_tolerance = 1e-05,
deeplearning_adaptive_rate = TRUE, grid_strategy = "RandomDiscrete",
grid_id = "dl")
|
train |
H2O frame object containing labeled data for model training. No Default. |
valid |
H2O frame object containing labeled data for model validation. No Default. |
y |
Character object of length 1 identifying the column name of the target variable. No Default. |
x |
Character object of length 1 or more identifying the column name(s) of the input variables. No Default. |
eval_metric |
Character object defining evaluation metric for training. Defualt is "AUTO" and uses built-in H2O automatic choice for target data type. |
wd |
Character object defining file path where dl_models folder will be created and deep learning models saved. Defaults to current working directory. |
folds |
Character object defining number of folds for xval. Default is NULL and currently is not implemented. |
deeplearning_runtime_secs |
Numeric object defining total number of seconds the hyper parameter grid search will run. |
deeplearning_stopping_rounds |
Numeric object defining maximum number of training rounds an individual deep learning model not improving will continue to run. Default is 10. |
deeplearning_stopping_tolerance |
Numeric object which sets the mimmum loss funciton improvement for a training iteration to be considered an improvement. Defulat is 1E-5. |
deeplearning_adaptive_rate |
Boolean, if TRUE ADELTA is used to control learning rate if FALSE than normal rate controls can be used. |
grid_strategy |
Character object default and only current supported option is "randomDiscrete" |
grid_id |
Character. Set grid name in h2o platform. Defualts to "dl" only used in ensemble function. |
List object containing H2O model objects. Additionally saves h2o models as re-loadable text files in wd/dl_models folder.
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