hex.schemas

Class PSVMV3.PSVMParametersV3

java.lang.Object

water.Iced

water.api.Schema<I,S>

water.api.schemas3.SchemaV3<P,S>

water.api.schemas3.ModelParametersSchemaV3<PSVMModel.PSVMParameters,PSVMV3.PSVMParametersV3>

hex.schemas.PSVMV3.PSVMParametersV3

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

Enclosing class:

PSVMV3

public static final class PSVMV3.PSVMParametersV3
extends water.api.schemas3.ModelParametersSchemaV3<PSVMModel.PSVMParameters,PSVMV3.PSVMParametersV3>

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class water.api.schemas3.SchemaV3

water.api.schemas3.SchemaV3.Meta

Nested classes/interfaces inherited from class water.api.Schema

water.api.Schema.AutoParseable

Field Summary

Fields

Modifier and Type	Field and Description
boolean	disable_training_metrics
double	fact_threshold
double	feasible_threshold
static java.lang.String[]	fields
double	gamma
double	hyper_param
hex.genmodel.algos.psvm.KernelType	kernel_type
int	max_iterations
double	mu_factor
double	negative_weight
double	positive_weight
double	rank_ratio
long	seed
double	surrogate_gap_threshold
double	sv_threshold

Fields inherited from class water.api.schemas3.ModelParametersSchemaV3

auc_type, categorical_encoding, checkpoint, custom_distribution_func, custom_metric_func, distribution, export_checkpoints_dir, fold_assignment, fold_column, gainslift_bins, huber_alpha, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_models, keep_cross_validation_predictions, max_categorical_levels, max_runtime_secs, model_id, nfolds, offset_column, parallelize_cross_validation, quantile_alpha, response_column, score_each_iteration, stopping_metric, stopping_rounds, stopping_tolerance, training_frame, tweedie_power, validation_frame, weights_column

Fields inherited from class water.api.schemas3.SchemaV3

__meta

Constructor Summary

Constructors

Constructor and Description
PSVMParametersV3()

Method Summary

Methods inherited from class water.api.schemas3.ModelParametersSchemaV3

append_field_arrays, extractDeclaredApiParameters, fields, fillFromImpl, fillImpl, getAdditionalParameters, writeParametersJSON

Methods inherited from class water.api.schemas3.SchemaV3

writeJSON

Methods inherited from class water.api.Schema

createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromAny, fillFromBody, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, fillFromParms, fillImpl, getImplClass, getImplClass, getSchemaName, getSchemaType, getSchemaVersion, init_meta, markdown, markdown, newInstance, newInstance, setField, setSchemaType_doNotCall

Methods inherited from class water.Iced

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

Methods inherited from class java.lang.Object

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

Field Detail

fields

public static final java.lang.String[] fields

hyper_param

@API(help="Penalty parameter C of the error term",
     gridable=true)
public double hyper_param

kernel_type

@API(help="Type of used kernel",
     values="gaussian")
public hex.genmodel.algos.psvm.KernelType kernel_type

gamma

@API(help="Coefficient of the kernel (currently RBF gamma for gaussian kernel, -1 means 1/#features)",
     gridable=true)
public double gamma

rank_ratio

@API(help="Desired rank of the ICF matrix expressed as an ration of number of input rows (-1 means use sqrt(#rows)).",
     gridable=true)
public double rank_ratio

positive_weight

@API(help="Weight of positive (+1) class of observations")
public double positive_weight

negative_weight

@API(help="Weight of positive (-1) class of observations")
public double negative_weight

disable_training_metrics

@API(help="Disable calculating training metrics (expensive on large datasets)")
public boolean disable_training_metrics

sv_threshold

@API(help="Threshold for accepting a candidate observation into the set of support vectors",
     level=secondary)
public double sv_threshold

max_iterations

@API(help="Maximum number of iteration of the algorithm",
     level=secondary)
public int max_iterations

fact_threshold

@API(help="Convergence threshold of the Incomplete Cholesky Factorization (ICF)",
     level=expert)
public double fact_threshold

feasible_threshold

@API(help="Convergence threshold for primal-dual residuals in the IPM iteration",
     level=expert)
public double feasible_threshold

surrogate_gap_threshold

@API(help="Feasibility criterion of the surrogate duality gap (eta)",
     level=expert)
public double surrogate_gap_threshold

mu_factor

@API(help="Increasing factor mu",
     level=expert)
public double mu_factor

seed

@API(help="Seed for pseudo random number generator (if applicable)",
     gridable=true)
public long seed

Constructor Detail

PSVMParametersV3

public PSVMParametersV3()