public abstract static class ClusteringModel.ClusteringParameters extends Model.Parameters
Modifier and Type | Field and Description |
---|---|
int |
_k
Clustering models must specify the number of clusters to generate
|
_balance_classes, _class_sampling_factors, _ignore_const_cols, _ignored_columns, _max_after_balance_size, _max_confusion_matrix_size, _max_hit_ratio_k, _model_id, _offset_column, _response_column, _score_each_iteration, _train, _valid, _weights_column
Constructor and Description |
---|
ClusteringModel.ClusteringParameters() |
checksum_impl, defaultDropConsCols, defaultDropNA20Cols, missingColumnsType, read_lock_frames, read_unlock_frames, train, valid
clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON