hex.gam

Class GAMModel.GAMModelOutput

java.lang.Object

water.Iced

hex.Model.Output

hex.gam.GAMModel.GAMModelOutput

All Implemented Interfaces:

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

Enclosing class:

GAMModel

public static class GAMModel.GAMModelOutput
extends hex.Model.Output

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
double	_best_alpha
double	_best_lambda
double[][][]	_binvD
java.lang.String[]	_coefficient_names
java.lang.String[]	_coefficient_names_no_centering
water.util.TwoDimTable	_coefficients_table
water.util.TwoDimTable	_coefficients_table_no_centering
double	_devianceTrain
double	_devianceValid
DataInfo	_dinfo
java.lang.String[]	_gam_knot_column_names
java.lang.String	_gam_transformed_center_key
double[][]	_gamColMeansRaw
java.lang.String[][]	_gamColNames
water.Key<water.fvec.Frame>	_gamTransformedTrainCenter
double	_glm_best_lamda_value
water.util.TwoDimTable[]	_glm_cv_scoring_history
double	_glm_dispersion
water.util.TwoDimTable	_glm_model_summary
double[]	_glm_pvalues
water.util.TwoDimTable	_glm_scoring_history
double[]	_glm_stdErr
hex.ModelMetrics	_glm_training_metrics
hex.ModelMetrics	_glm_validation_metrics
double[][]	_glm_vcov
double[]	_glm_zvalues
double[][]	_knot_locations
double[][][]	_knots
double[]	_model_beta
double[][]	_model_beta_multinomial
double[][]	_model_beta_multinomial_no_centering
double[]	_model_beta_no_centering
int[]	_numKnots
double[][]	_oneOGamColStd
double[][][]	_penaltyMatrices
double[][][]	_penaltyMatricesCenter
double[]	_penaltyScale
java.lang.String[]	_responseDomains
water.util.TwoDimTable	_standardized_coefficient_magnitudes
double[]	_standardized_model_beta
double[][]	_standardized_model_beta_multinomial
double[][]	_standardized_model_beta_multinomial_no_centering
double[]	_standardized_model_beta_no_centering
double[][][]	_starT
water.util.TwoDimTable	_variable_importances
hex.VarImp	_varimp
double[][][]	_zTranspose

Fields inherited from class hex.Model.Output

_column_types, _cross_validation_fold_assignment_frame_id, _cross_validation_holdout_predictions_frame_id, _cross_validation_metrics, _cross_validation_metrics_summary, _cross_validation_models, _cross_validation_predictions, _cv_scoring_history, _defaultThreshold, _distribution, _domains, _end_time, _hasFold, _hasOffset, _hasTreatment, _hasWeights, _isSupervised, _job, _model_summary, _modelClassDist, _names, _orig_projection_array, _origDomains, _origNames, _priorClassDist, _reproducibility_information_table, _run_time, _scoring_history, _start_time, _total_run_time, _training_metrics, _validation_metrics

Constructor Summary

Constructors

Constructor and Description
GAMModelOutput(GAM b, DataInfo dinfo)

Method Summary

Modifier and Type	Method and Description
java.lang.String[]	classNames() Names of levels for a categorical response column.
void	copyKnots(double[][][] knots, java.lang.String[][] gam_columns_sorted) The function will copy over the knot locations into _knot_locations and the gam column names corresponding to the knot locations into _gam_knot_column_names.
void	copyMetrics(GAMModel gamModel, water.fvec.Frame train, boolean forTrain, hex.ModelMetrics glmMetrics)
hex.ModelCategory	getModelCategory()
int	nclasses()

Methods inherited from class hex.Model.Output

changeModelMetricsKey, checksum_impl, clearModelMetrics, createInputFramesInformationTable, defaultThreshold, features, foldIdx, foldName, getInformationTableNumRows, getModelMetrics, getVariableImportances, hasFold, hasOffset, hasResponse, hasTreatment, hasWeights, interactionBuilder, isAutoencoder, isBinomialClassifier, isClassifier, isMultinomialClassifier, isSupervised, lastSpecialColumnIdx, nfeatures, offsetIdx, offsetName, printTwoDimTables, resetThreshold, responseIdx, responseName, setNames, setNames, startClock, stopClock, toString, treatmentIdx, treatmentName, weightsIdx, weightsName

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, wait, wait, wait

Field Detail

_coefficient_names_no_centering

public java.lang.String[] _coefficient_names_no_centering

_coefficient_names

public java.lang.String[] _coefficient_names

_glm_model_summary

public water.util.TwoDimTable _glm_model_summary

_glm_training_metrics

public hex.ModelMetrics _glm_training_metrics

_glm_validation_metrics

public hex.ModelMetrics _glm_validation_metrics

_glm_dispersion

public double _glm_dispersion

_glm_zvalues

public double[] _glm_zvalues

_glm_pvalues

public double[] _glm_pvalues

_glm_vcov

public double[][] _glm_vcov

_glm_stdErr

public double[] _glm_stdErr

_glm_best_lamda_value

public double _glm_best_lamda_value

_glm_scoring_history

public water.util.TwoDimTable _glm_scoring_history

_glm_cv_scoring_history

public water.util.TwoDimTable[] _glm_cv_scoring_history

_coefficients_table

public water.util.TwoDimTable _coefficients_table

_coefficients_table_no_centering

public water.util.TwoDimTable _coefficients_table_no_centering

_standardized_coefficient_magnitudes

public water.util.TwoDimTable _standardized_coefficient_magnitudes

_variable_importances

public water.util.TwoDimTable _variable_importances

_varimp

public hex.VarImp _varimp

_model_beta_no_centering

public double[] _model_beta_no_centering

_standardized_model_beta_no_centering

public double[] _standardized_model_beta_no_centering

_model_beta

public double[] _model_beta

_standardized_model_beta

public double[] _standardized_model_beta

_model_beta_multinomial_no_centering

public double[][] _model_beta_multinomial_no_centering

_standardized_model_beta_multinomial_no_centering

public double[][] _standardized_model_beta_multinomial_no_centering

_model_beta_multinomial

public double[][] _model_beta_multinomial

_standardized_model_beta_multinomial

public double[][] _standardized_model_beta_multinomial

_best_alpha

public double _best_alpha

_best_lambda

public double _best_lambda

_devianceValid

public double _devianceValid

_devianceTrain

public double _devianceTrain

_gamColNames

public java.lang.String[][] _gamColNames

_zTranspose

public double[][][] _zTranspose

_penaltyMatricesCenter

public double[][][] _penaltyMatricesCenter

_penaltyMatrices

public double[][][] _penaltyMatrices

_binvD

public double[][][] _binvD

_knots

public double[][][] _knots

_numKnots

public int[] _numKnots

_starT

public double[][][] _starT

_gamColMeansRaw

public double[][] _gamColMeansRaw

_oneOGamColStd

public double[][] _oneOGamColStd

_penaltyScale

public double[] _penaltyScale

_gamTransformedTrainCenter

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

_dinfo

public DataInfo _dinfo

_responseDomains

public java.lang.String[] _responseDomains

_gam_transformed_center_key

public java.lang.String _gam_transformed_center_key

_gam_knot_column_names

public java.lang.String[] _gam_knot_column_names

_knot_locations

public double[][] _knot_locations

Constructor Detail

GAMModelOutput

public GAMModelOutput(GAM b,
                      DataInfo dinfo)

Method Detail

copyKnots

public void copyKnots(double[][][] knots,
                      java.lang.String[][] gam_columns_sorted)

The function will copy over the knot locations into _knot_locations and the gam column names corresponding to the knot locations into _gam_knot_column_names.

nclasses

public int nclasses()

Overrides:

nclasses in class hex.Model.Output

classNames

public java.lang.String[] classNames()

Names of levels for a categorical response column.

Overrides:

classNames in class hex.Model.Output

getModelCategory

public hex.ModelCategory getModelCategory()

Overrides:

getModelCategory in class hex.Model.Output

copyMetrics

public void copyMetrics(GAMModel gamModel,
                        water.fvec.Frame train,
                        boolean forTrain,
                        hex.ModelMetrics glmMetrics)