hex.kmeans

Class KMeansModel.KMeansParameters

java.lang.Object

water.Iced<hex.Model.Parameters>

hex.Model.Parameters

hex.ClusteringModel.ClusteringParameters

hex.kmeans.KMeansModel.KMeansParameters

All Implemented Interfaces:

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

Enclosing class:

KMeansModel

public static class KMeansModel.KMeansParameters
extends hex.ClusteringModel.ClusteringParameters

See Also:

Serialized Form

Nested Class Summary

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

hex.Model.Parameters.CategoricalEncodingScheme, hex.Model.Parameters.FoldAssignmentScheme

Field Summary

Fields

Modifier and Type	Field and Description
int[]	_cluster_size_constraints
boolean	_estimate_k
KMeans.Initialization	_init
int	_max_iterations
boolean	_pred_indicator
boolean	_standardize
water.Key<water.fvec.Frame>	_user_points

Fields inherited from class hex.ClusteringModel.ClusteringParameters

_k

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
KMeansParameters()

Method Summary

Modifier and Type	Method and Description
java.lang.String	algoName()
java.lang.String	fullName()
java.lang.String	javaName()
long	progressUnits()

Methods inherited from class hex.Model.Parameters

checksum, checksum, defaultDropConsCols, defaultStoppingTolerance, getCategoricalEncoding, getDependentKeys, getDistributionFamily, getFoldColumn, getMaxCategoricalLevels, getNonPredictors, getOffsetColumn, getOrMakeRealSeed, getResponseColumn, getTreatmentColumn, getUsedColumns, getWeightsColumn, hasCheckpoint, hasCustomMetricFunc, missingColumnsType, 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

_max_iterations

public int _max_iterations

_standardize

public boolean _standardize

_init

public KMeans.Initialization _init

_user_points

public water.Key<water.fvec.Frame> _user_points

_pred_indicator

public boolean _pred_indicator

_estimate_k

public boolean _estimate_k

_cluster_size_constraints

public int[] _cluster_size_constraints

Constructor Detail

KMeansParameters

public KMeansParameters()

Method Detail

algoName

public java.lang.String algoName()

Specified by:

algoName in class hex.Model.Parameters

fullName

public java.lang.String fullName()

Specified by:

fullName in class hex.Model.Parameters

javaName

public java.lang.String javaName()

Specified by:

javaName in class hex.Model.Parameters

progressUnits

public long progressUnits()

Specified by:

progressUnits in class hex.Model.Parameters