hex.schemas

Class GLMV2.GLMParametersV2

java.lang.Object

water.Iced

water.api.Schema<P,S>

water.api.ModelParametersSchema<P,S>

water.api.SupervisedModelParametersSchema<GLMModel.GLMParameters,GLMV2.GLMParametersV2>

hex.schemas.GLMV2.GLMParametersV2

All Implemented Interfaces:

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

Enclosing class:

GLMV2

public static final class GLMV2.GLMParametersV2
extends water.api.SupervisedModelParametersSchema<GLMModel.GLMParameters,GLMV2.GLMParametersV2>

See Also:

Serialized Form

Nested Class Summary

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

water.api.ModelParametersSchema.ValidationMessageBase, water.api.ModelParametersSchema.ValidationMessageV2

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

water.api.Schema.Meta

Field Summary

Fields

Modifier and Type	Field and Description
double[]	alpha
GLMModel.GLMParameters.Family	family
boolean	higher_accuracy
double[]	lambda
double	lambda_min_ratio
boolean	lambda_search
GLMModel.GLMParameters.Link	link
int	n_folds
int	nlambdas
static java.lang.String[]	own_fields
double	prior1
boolean	standardize
double	tweedie_link_power
double	tweedie_variance_power
boolean	use_all_factor_levels

Fields inherited from class water.api.SupervisedModelParametersSchema

balance_classes, do_classification, max_after_balance_size, response_column

Fields inherited from class water.api.ModelParametersSchema

destination_key, ignored_columns, score_each_iteration, training_frame, validation_frame

Fields inherited from class water.api.Schema

__meta, _impl_class, _version_pattern

Constructor Summary

Constructors

Constructor and Description
GLMV2.GLMParametersV2()

Method Summary

Methods inherited from class water.api.SupervisedModelParametersSchema

fillFromImpl, fillImpl

Methods inherited from class water.api.ModelParametersSchema

append_field_arrays, fields, writeParametersJSON

Methods inherited from class water.api.Schema

acceptsFrame, createAndFillImpl, createImpl, extractVersion, fillFromParms, getImplClass, getImplClass, getSchemaVersion, markdown, markdown, markdown, markdown, newInstance, register, registerAllSchemasIfNecessary, schema, schema, schema, schema, schema, schemaClass, schemaClass, schemaClass, schemaClass, schemas

Methods inherited from class water.Iced

clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON

Methods inherited from class java.lang.Object

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

Field Detail

own_fields

public static java.lang.String[] own_fields

standardize

@API(help="Standardize numeric columns to have zero mean and unit variance.")
public boolean standardize

family

@API(help="Family.",
     values={"gaussian","binomial","poisson","gamma","tweedie"})
public GLMModel.GLMParameters.Family family

link

@API(help="",
     level=secondary,
     values={"family_default","identity","logit","log","inverse","tweedie"})
public GLMModel.GLMParameters.Link link

tweedie_variance_power

@API(help="Tweedie variance power",
     level=secondary)
public double tweedie_variance_power

tweedie_link_power

@API(help="Tweedie link power",
     level=secondary)
public double tweedie_link_power

alpha

@API(help="distribution of regularization between L1 and L2.",
     level=secondary)
public double[] alpha

lambda

@API(help="regularization strength",
     level=secondary)
public double[] lambda

prior1

@API(help="prior probability for y==1. To be used only for logistic regression iff the data has been sampled and the mean of response does not reflect reality.",
     level=expert)
public double prior1

lambda_search

@API(help="use lambda search starting at lambda max, given lambda is then interpreted as lambda min",
     level=secondary)
public boolean lambda_search

nlambdas

@API(help="number of lambdas to be used in a search",
     level=expert)
public int nlambdas

lambda_min_ratio

@API(help="min lambda used in lambda search, specified as a ratio of lambda_max",
     level=expert)
public double lambda_min_ratio

higher_accuracy

@API(help="use line search (slower speed, to be used if glm does not converge otherwise)",
     level=secondary)
public boolean higher_accuracy

use_all_factor_levels

@API(help="By default, first factor level is skipped from the possible set of predictors. Set this flag if you want use all of the levels. Needs sufficient regularization to solve!",
     level=secondary)
public boolean use_all_factor_levels

n_folds

@API(help="validation folds")
public int n_folds

Constructor Detail

GLMV2.GLMParametersV2

public GLMV2.GLMParametersV2()