hex.quantile

Class QuantileModel.QuantileParameters

java.lang.Object

water.Iced<Model.Parameters>

hex.Model.Parameters

hex.quantile.QuantileModel.QuantileParameters

All Implemented Interfaces:

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

Enclosing class:

QuantileModel

public static class QuantileModel.QuantileParameters
extends Model.Parameters

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
QuantileModel.CombineMethod	_combine_method
double[]	_probs

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
QuantileParameters()

Method Summary

Modifier and Type	Method and Description
java.lang.String	algoName() The short name, used in making Keys.
protected boolean	defaultDropConsCols()
java.lang.String	fullName() The pretty algo name for this Model (e.g., Gradient Boosting Machine, rather than GBM).
java.lang.String	javaName() The Java class name for this Model (e.g., hex.tree.gbm.GBM, rather than GBM).
long	progressUnits() How much work will be done for this model?

Methods inherited from class hex.Model.Parameters

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

_probs

public double[] _probs

_combine_method

public QuantileModel.CombineMethod _combine_method

Constructor Detail

QuantileParameters

public QuantileParameters()

Method Detail

defaultDropConsCols

protected boolean defaultDropConsCols()

Overrides:

defaultDropConsCols in class Model.Parameters

algoName

public java.lang.String algoName()

Description copied from class: Model.Parameters

The short name, used in making Keys. e.g. "GBM"

Specified by:

algoName in class Model.Parameters

fullName

public java.lang.String fullName()

Description copied from class: Model.Parameters

The pretty algo name for this Model (e.g., Gradient Boosting Machine, rather than GBM).

Specified by:

fullName in class Model.Parameters

javaName

public java.lang.String javaName()

Description copied from class: Model.Parameters

The Java class name for this Model (e.g., hex.tree.gbm.GBM, rather than GBM).

Specified by:

javaName in class Model.Parameters

progressUnits

public long progressUnits()

Description copied from class: Model.Parameters

How much work will be done for this model?

Specified by:

progressUnits in class Model.Parameters