public class DeepLearningModelOutputV3 extends ModelOutputSchemaV3
| Modifier and Type | Field and Description |
|---|---|
FrameKeyV3[] |
biases
Frame keys for bias vectors
|
int[] |
catoffsets
Categorical offsets for one-hot encoding
|
double[] |
normmul
Normalization/Standardization multipliers for numeric predictors
|
double[] |
normrespmul
Normalization/Standardization multipliers for numeric response
|
double[] |
normrespsub
Normalization/Standardization offsets for numeric response
|
double[] |
normsub
Normalization/Standardization offsets for numeric predictors
|
TwoDimTableV3 |
variableImportances
Variable Importances
|
FrameKeyV3[] |
weights
Frame keys for weight matrices
|
crossValidationFoldAssignmentFrameId, crossValidationHoldoutPredictionsFrameId, crossValidationMetrics, crossValidationMetricsSummary, crossValidationModels, crossValidationPredictions, domains, endTime, help, modelCategory, modelSummary, names, runTime, scoringHistory, startTime, status, trainingMetrics, validationMetrics| Constructor and Description |
|---|
DeepLearningModelOutputV3()
Public constructor
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
public FrameKeyV3[] weights
public FrameKeyV3[] biases
public double[] normmul
public double[] normsub
public double[] normrespmul
public double[] normrespsub
public int[] catoffsets
public TwoDimTableV3 variableImportances
public java.lang.String toString()
toString in class ModelOutputSchemaV3