water.bindings.pojos

Class InfogramModelOutputV3

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.ModelOutputSchemaV3

water.bindings.pojos.InfogramModelOutputV3

public class InfogramModelOutputV3
extends ModelOutputSchemaV3

Field Summary

Fields

Modifier and Type	Field and Description
double[]	admissibleCmi Array of conditional mutual information for admissible features normalized to 0.0 and 1.0
double[]	admissibleCmiRaw Array of conditional mutual information for admissible features raw and not normalized to 0.0 and 1.0
java.lang.String[]	admissibleFeatures Array containing names of admissible features for the user
java.lang.String[]	admissibleFeaturesValid Array containing names of admissible features for the user from the validation dataset.
java.lang.String[]	admissibleFeaturesXval Array containing names of admissible features for the user from cross-validation.
double[]	admissibleRelevance Array of variable importance for admissible features
FrameKeyV3	admissibleScoreKey Frame key that stores the predictor names, net CMI and relevance.
FrameKeyV3	admissibleScoreKeyValid Frame key that stores the predictor names, net CMI and relevance calculated from validation dataset.
FrameKeyV3	admissibleScoreKeyXval Frame key that stores the predictor names, net CMI and relevance from cross-validation.
java.lang.String[]	allPredictorNames Array containing names of all features excluding sensitive attributes if applicable corresponding to CMI and relevance
double[]	cmi Array of conditional mutual information for all features excluding sensitive attributes if applicable normalized to 0.0 and 1.0
double[]	cmiRaw Array of raw conditional mutual information for all features excluding sensitive attributes if applicable
double[]	relevance Array of variable importance for all features excluding sensitive attributes if applicable

Fields inherited from class water.bindings.pojos.ModelOutputSchemaV3

columnTypes, crossValidationFoldAssignmentFrameId, crossValidationHoldoutPredictionsFrameId, crossValidationMetrics, crossValidationMetricsSummary, crossValidationModels, crossValidationPredictions, cvScoringHistory, defaultThreshold, domains, endTime, help, modelCategory, modelSummary, names, originalNames, reproducibilityInformationTable, runTime, scoringHistory, startTime, status, trainingMetrics, validationMetrics

Constructor Summary

Constructors

Constructor and Description
InfogramModelOutputV3() Public constructor

Method Summary

Modifier and Type	Method and Description
java.lang.String	toString() Return the contents of this object as a JSON String.

Methods inherited from class java.lang.Object

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

Field Detail

admissibleCmi

@SerializedName(value="admissible_cmi")
public double[] admissibleCmi

Array of conditional mutual information for admissible features normalized to 0.0 and 1.0

admissibleCmiRaw

@SerializedName(value="admissible_cmi_raw")
public double[] admissibleCmiRaw

Array of conditional mutual information for admissible features raw and not normalized to 0.0 and 1.0

admissibleRelevance

@SerializedName(value="admissible_relevance")
public double[] admissibleRelevance

Array of variable importance for admissible features

admissibleFeatures

@SerializedName(value="admissible_features")
public java.lang.String[] admissibleFeatures

Array containing names of admissible features for the user

admissibleFeaturesValid

@SerializedName(value="admissible_features_valid")
public java.lang.String[] admissibleFeaturesValid

Array containing names of admissible features for the user from the validation dataset.

admissibleFeaturesXval

@SerializedName(value="admissible_features_xval")
public java.lang.String[] admissibleFeaturesXval

Array containing names of admissible features for the user from cross-validation.

cmiRaw

@SerializedName(value="cmi_raw")
public double[] cmiRaw

Array of raw conditional mutual information for all features excluding sensitive attributes if applicable

cmi

public double[] cmi

Array of conditional mutual information for all features excluding sensitive attributes if applicable normalized to 0.0 and 1.0

allPredictorNames

@SerializedName(value="all_predictor_names")
public java.lang.String[] allPredictorNames

Array containing names of all features excluding sensitive attributes if applicable corresponding to CMI and relevance

relevance

public double[] relevance

Array of variable importance for all features excluding sensitive attributes if applicable

admissibleScoreKey

@SerializedName(value="admissible_score_key")
public FrameKeyV3 admissibleScoreKey

Frame key that stores the predictor names, net CMI and relevance.

admissibleScoreKeyValid

@SerializedName(value="admissible_score_key_valid")
public FrameKeyV3 admissibleScoreKeyValid

Frame key that stores the predictor names, net CMI and relevance calculated from validation dataset.

admissibleScoreKeyXval

@SerializedName(value="admissible_score_key_xval")
public FrameKeyV3 admissibleScoreKeyXval

Frame key that stores the predictor names, net CMI and relevance from cross-validation.

Constructor Detail

InfogramModelOutputV3

public InfogramModelOutputV3()

Public constructor

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class ModelOutputSchemaV3