x: A vector containing the character names of the predictors in the model.
model_id: Destination id for this model; auto-generated if not specified.
ignore_const_cols: Logical. Ignore constant columns. Defaults to TRUE.
target_num_exemplars: Targeted number of exemplars Defaults to 5000.
rel_tol_num_exemplars: Relative tolerance for number of exemplars (e.g, 0.5 is +/- 50 percents) Defaults to 0.5.
transform: Transformation of training data Must be one of: "NONE", "STANDARDIZE", "NORMALIZE", "DEMEAN", "DESCALE". Defaults to NORMALIZE.
categorical_encoding: Encoding scheme for categorical features Must be one of: "AUTO", "Enum", "OneHotInternal", "OneHotExplicit", "Binary", "Eigen", "LabelEncoder", "SortByResponse", "EnumLimited". Defaults to AUTO.
save_mapping_frame: Logical. Whether to export the mapping of the aggregated frame Defaults to FALSE.
num_iteration_without_new_exemplar: The number of iterations to run before aggregator exits if the number of exemplars collected didn't change Defaults to 500.
export_checkpoints_dir: Automatically export generated models to this directory.