org.apache.spark.ml.spark.models.svm

Class SparkSVMParameters

java.lang.Object

water.Iced<hex.Model.Parameters>

hex.Model.Parameters

org.apache.spark.ml.spark.models.svm.SparkSVMParameters

All Implemented Interfaces:

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

public class SparkSVMParameters
extends hex.Model.Parameters

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
boolean	_add_intercept
double	_convergence_tol
Gradient	_gradient
water.Key<water.fvec.Frame>	_initial_weights
int	_max_iterations
double	_mini_batch_fraction
MissingValuesHandling	_missing_values_handling
double	_reg_param
double	_step_size
double	_threshold
Updater	_updater

Fields inherited from class hex.Model.Parameters

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

Constructor Summary

Constructors

Constructor and Description
SparkSVMParameters()

Method Summary

Modifier and Type	Method and Description
java.lang.String	algoName()
java.lang.String	fullName()
water.fvec.Frame	initialWeights()
java.lang.String	javaName()
long	progressUnits()
void	validate(SparkSVM svm)

Methods inherited from class hex.Model.Parameters

checksum, checksum, defaultDropConsCols, defaultStoppingTolerance, getOrMakeRealSeed, hasCheckpoint, missingColumnsType, read_lock_frames, read_unlock_frames, setTrain, train, valid

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, 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

_add_intercept

public boolean _add_intercept

_step_size

public double _step_size

_reg_param

public double _reg_param

_convergence_tol

public double _convergence_tol

_mini_batch_fraction

public double _mini_batch_fraction

_threshold

public double _threshold

_updater

public Updater _updater

_gradient

public Gradient _gradient

_initial_weights

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

_missing_values_handling

public MissingValuesHandling _missing_values_handling

Constructor Detail

SparkSVMParameters

public SparkSVMParameters()

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

initialWeights

public final water.fvec.Frame initialWeights()

validate

public void validate(SparkSVM svm)