Suggests Model Parameters

Provides suggestions of the model parameters, namely time, interpretability, and accuracy.

dai.suggest_model_params(training_frame, target_col, is_classification,
  is_timeseries, config_overrides = NULL)

Arguments

training_frame	DAIFrame to be used for the model training.
target_col	The name of the target variable.
is_classification	Whether the predicted variable is categorical (true) or numerical (false).
is_timeseries	Whether the target variable is a time-series or not.
config_overrides	Raw config.toml file content (UTF8-encoded string)

Value

A list with the suggested parameter values.

See also

dai.train

Examples

# NOT RUN {
dai.connect(uri = 'http://127.0.0.1:12345', username = 'h2oai', password = 'h2oai')
iris_dai <- as.DAIFrame(iris, progress = FALSE)
suggested_params <- dai.suggest_model_params(training_frame = iris_dai,
                                             target_col = 'Species',
                                             is_classification = TRUE,
                                             is_timeseries = FALSE)
print(suggested_params)
suggested_params$progress <- FALSE
# train model with suggested parameters
model <- do.call(dai.train, suggested_params)
# }