public abstract static class ClusteringModel.ClusteringParameters extends Model.Parameters
Model.Parameters.FoldAssignmentScheme
Modifier and Type | Field and Description |
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int |
_k
Clustering models must specify the number of clusters to generate
|
_balance_classes, _checkpoint, _class_sampling_factors, _distribution, _fold_assignment, _fold_column, _ignore_const_cols, _ignored_columns, _keep_cross_validation_predictions, _max_after_balance_size, _max_confusion_matrix_size, _max_hit_ratio_k, _model_id, _nfolds, _offset_column, _response_column, _score_each_iteration, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS
Constructor and Description |
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ClusteringModel.ClusteringParameters() |
checksum_impl, checksum, defaultDropConsCols, defaultDropNA20Cols, defaultStoppingTolerance, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, train, valid
clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeJSON_impl, writeJSON