hex

Class ClusteringModel.ClusteringParameters

java.lang.Object

water.Iced<Model.Parameters>

hex.Model.Parameters

hex.ClusteringModel.ClusteringParameters

All Implemented Interfaces:

Model.AdaptFrameParameters, java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, Freezable<Model.Parameters>

Enclosing class:

ClusteringModel<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput>

public abstract static class ClusteringModel.ClusteringParameters
extends Model.Parameters

Clustering Model Parameters includes the number of clusters desired

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class hex.Model.Parameters

Model.Parameters.CategoricalEncodingScheme, Model.Parameters.FoldAssignmentScheme

Field Summary

Fields

Modifier and Type	Field and Description
int	_k Clustering models must specify the number of clusters to generate

Fields inherited from class hex.Model.Parameters

_auc_type, _auto_rebalance, _auuc_nbins, _auuc_type, _balance_classes, _categorical_encoding, _check_constant_response, _checkpoint, _class_sampling_factors, _custom_distribution_func, _custom_metric_func, _cv_fold, _distribution, _export_checkpoints_dir, _fold_assignment, _fold_column, _gainslift_bins, _huber_alpha, _ignore_const_cols, _ignored_columns, _is_cv_model, _keep_cross_validation_fold_assignment, _keep_cross_validation_models, _keep_cross_validation_predictions, _keep_cross_validation_predictions_precision, _main_model_time_budget_factor, _max_after_balance_size, _max_categorical_levels, _max_confusion_matrix_size, _max_runtime_secs, _nfolds, _offset_column, _parallelize_cross_validation, _preprocessors, _pretrained_autoencoder, _quantile_alpha, _response_column, _score_each_iteration, _seed, _stopping_metric, _stopping_rounds, _stopping_tolerance, _train, _treatment_column, _tweedie_power, _valid, _weights_column, MAX_SUPPORTED_LEVELS

Constructor Summary

Constructors

Constructor and Description
ClusteringParameters()

Method Summary

Methods inherited from class hex.Model.Parameters

algoName, checksum, checksum, defaultDropConsCols, defaultStoppingTolerance, fullName, getCategoricalEncoding, getDependentKeys, getDistributionFamily, getFoldColumn, getMaxCategoricalLevels, getNonPredictors, getOffsetColumn, getOrMakeRealSeed, getResponseColumn, getTreatmentColumn, getUsedColumns, getWeightsColumn, hasCheckpoint, hasCustomMetricFunc, javaName, missingColumnsType, progressUnits, read_lock_frames, read_unlock_frames, setDistributionFamily, setTrain, train, valid

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal, writeJSON

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

_k

public int _k

Clustering models must specify the number of clusters to generate

Constructor Detail

ClusteringParameters

public ClusteringParameters()