hex.Infogram

Class InfogramModel.InfogramModelOutput

java.lang.Object

water.Iced

hex.Model.Output

hex.Infogram.InfogramModel.InfogramModelOutput

All Implemented Interfaces:

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

Enclosing class:

InfogramModel

public static class InfogramModel.InfogramModelOutput
extends hex.Model.Output

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
double[]	_admissible
double[]	_admissible_cmi
double[]	_admissible_cmi_raw
java.lang.String[]	_admissible_features
java.lang.String[]	_admissible_features_valid
java.lang.String[]	_admissible_features_xval
double[]	_admissible_index
double[]	_admissible_index_valid
static int	_ADMISSIBLE_PREDICTOR_INDEX
double[]	_admissible_relevance
water.Key<water.fvec.Frame>	_admissible_score_key
water.Key<water.fvec.Frame>	_admissible_score_key_valid
water.Key<water.fvec.Frame>	_admissible_score_key_xval
double[]	_admissible_valid
java.lang.String[]	_all_predictor_names
java.lang.String[]	_all_predictor_names_valid
double[]	_cmi
static int	_CMI_INDEX
double[]	_cmi_raw
static int	_CMI_RAW_INDEX
double[]	_cmi_raw_valid
double[]	_cmi_valid
static int	_COLUMN_INDEX
hex.genmodel.utils.DistributionFamily	_distribution
double[]	_relevance
static int	_RELEVANCE_INDEX
double[]	_relevance_valid
java.lang.String[]	_topKFeatures
long	_validNonZeroNumRows

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, _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
InfogramModelOutput(Infogram b)

Method Summary

Modifier and Type	Method and Description
void	extractAdmissibleFeatures(water.fvec.Frame relCMIFrame, boolean validFrame, boolean cvFrame) Generate arrays containing only admissible features which are predictors with both cmi >= cmi_threshold and relevance >= relevance_threshold
hex.ModelCategory	getModelCategory()
void	setDistribution(hex.genmodel.utils.DistributionFamily distribution)
static void	sortCMIRel(int[] indices, double[] relevance, double[] cmiRawA, double[] cmi, java.lang.String[] allPredictorNames, double[] admissibleIndex, double[] admissibleA) This method will sort _relvance, _cmi_raw, _cmi_normalize, _all_predictor_names such that features that are closest to upper right corner of infogram comes first with the order specified in the index

Methods inherited from class hex.Model.Output

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

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, wait, wait, wait

Field Detail

_COLUMN_INDEX

public static final int _COLUMN_INDEX

See Also:

Constant Field Values

_ADMISSIBLE_PREDICTOR_INDEX

public static final int _ADMISSIBLE_PREDICTOR_INDEX

See Also:

Constant Field Values

_RELEVANCE_INDEX

public static final int _RELEVANCE_INDEX

See Also:

Constant Field Values

_CMI_INDEX

public static final int _CMI_INDEX

See Also:

Constant Field Values

_CMI_RAW_INDEX

public static final int _CMI_RAW_INDEX

See Also:

Constant Field Values

_admissible_cmi

public double[] _admissible_cmi

_admissible_cmi_raw

public double[] _admissible_cmi_raw

_admissible_relevance

public double[] _admissible_relevance

_admissible_features

public java.lang.String[] _admissible_features

_admissible_features_valid

public java.lang.String[] _admissible_features_valid

_admissible_features_xval

public java.lang.String[] _admissible_features_xval

_admissible_index

public double[] _admissible_index

_admissible_index_valid

public double[] _admissible_index_valid

_admissible

public double[] _admissible

_admissible_valid

public double[] _admissible_valid

_distribution

public hex.genmodel.utils.DistributionFamily _distribution

_cmi_raw

public double[] _cmi_raw

_cmi_raw_valid

public double[] _cmi_raw_valid

_cmi

public double[] _cmi

_cmi_valid

public double[] _cmi_valid

_all_predictor_names

public java.lang.String[] _all_predictor_names

_all_predictor_names_valid

public java.lang.String[] _all_predictor_names_valid

_relevance

public double[] _relevance

_relevance_valid

public double[] _relevance_valid

_admissible_score_key

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

_admissible_score_key_valid

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

_admissible_score_key_xval

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

_topKFeatures

public java.lang.String[] _topKFeatures

_validNonZeroNumRows

public long _validNonZeroNumRows

Constructor Detail

InfogramModelOutput

public InfogramModelOutput(Infogram b)

Method Detail

getModelCategory

public hex.ModelCategory getModelCategory()

Overrides:

getModelCategory in class hex.Model.Output

setDistribution

public void setDistribution(hex.genmodel.utils.DistributionFamily distribution)

extractAdmissibleFeatures

public void extractAdmissibleFeatures(water.fvec.Frame relCMIFrame,
                                      boolean validFrame,
                                      boolean cvFrame)

Generate arrays containing only admissible features which are predictors with both cmi >= cmi_threshold and relevance >= relevance_threshold

Parameters:

relCMIFrame - H2O Frame containing relevance, cmi, ... info

validFrame - true if validation dataset exists

cvFrame - true if cross-validation is enabled

sortCMIRel

public static void sortCMIRel(int[] indices,
                              double[] relevance,
                              double[] cmiRawA,
                              double[] cmi,
                              java.lang.String[] allPredictorNames,
                              double[] admissibleIndex,
                              double[] admissibleA)

This method will sort _relvance, _cmi_raw, _cmi_normalize, _all_predictor_names such that features that are closest to upper right corner of infogram comes first with the order specified in the index