public class GLRMModelOutputV3 extends ModelOutputSchemaV3
| Modifier and Type | Field and Description |
|---|---|
TwoDimTableV3 |
archetypes
Mapping from lower dimensional k-space to training features (Y)
|
double |
avgChangeObj
Average change in objective value on final iteration
|
TwoDimTableV3 |
eigenvectors
Eigenvectors of XY matrix
|
TwoDimTableV3 |
importance
Standard deviation and importance of each principal component
|
int |
iterations
Number of iterations executed
|
double |
objective
Current value of the objective function
|
java.lang.String |
representationName
Frame key name for X matrix
|
double[] |
singularVals
Singular values of XY matrix
|
double |
stepSize
Final step size
|
int |
updates
Number of updates executed
|
crossValidationFoldAssignmentFrameId, crossValidationHoldoutPredictionsFrameId, crossValidationMetrics, crossValidationMetricsSummary, crossValidationModels, crossValidationPredictions, domains, endTime, help, modelCategory, modelSummary, names, runTime, scoringHistory, startTime, status, trainingMetrics, validationMetrics| Constructor and Description |
|---|
GLRMModelOutputV3()
Public constructor
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
public int iterations
public int updates
public double objective
public double avgChangeObj
public double stepSize
public TwoDimTableV3 archetypes
public double[] singularVals
public TwoDimTableV3 eigenvectors
public java.lang.String representationName
public TwoDimTableV3 importance
public java.lang.String toString()
toString in class ModelOutputSchemaV3