object to a "standardized" list containing models, and
their properties such as x, y, whether it is a (multinomial) clasification or not etc.Do basic validation and transform object to a "standardized" list containing models, and
their properties such as x, y, whether it is a (multinomial) clasification or not etc.
.process_models_or_automl(
object,
newdata,
require_single_model = FALSE,
require_multiple_models = FALSE,
top_n_from_AutoML = NA,
only_with_varimp = FALSE,
best_of_family = FALSE,
require_newdata = TRUE
)Can be a single model/model_id, vector of model_id, list of models, H2OAutoML object
An H2OFrame with the same format as training frame
If true, make sure we were provided only one model
If true, make sure we were provided at least two models
If set, don't return more than top_n models (applies only for AutoML object)
If TRUE, return only models that have variable importance
If TRUE, return only the best of family models; if FALSE return all models in object
If TRUE, require newdata to be specified; otherwise allow NULL instead, this can be used when there is no need to know if the problem is (multinomial) classification.
a list with the following names leader, is_automl, models,
is_classification, is_multinomial_classification, x, y, model