This functions lets the user iterate and search for best seed. Note that if the results change a lot, you are having a high variance in your data.
iter_seeds(df, y, tries = 10, ...)
data.frame with performance results by seed tried on every row.
Dataframe. Dataframe containing all your data, including
the dependent variable labeled as 'tag'
. If you want to define
which variable should be used instead, use the y
parameter.
Variable or Character. Name of the dependent variable or response.
Integer. Number of iterations
Additional arguments passed to h2o_automl
Other Machine Learning:
ROC()
,
conf_mat()
,
export_results()
,
gain_lift()
,
h2o_automl()
,
h2o_predict_MOJO()
,
h2o_selectmodel()
,
impute()
,
lasso_vars()
,
model_metrics()
,
model_preprocess()
,
msplit()