public class GLRMModelOutputV99 extends ModelOutputSchema
| Modifier and Type | Field and Description |
|---|---|
double[][] |
archetypes
Mapping from training data to lower dimensional k-space
|
double |
avg_change_obj
Average change in objective value on final iteration
|
java.lang.String[][] |
domains
Domains for categorical (enum) columns.
|
double[][] |
eigenvectors
Eigenvectors of XY matrix
|
java.util.Map<java.lang.String,java.lang.String> |
help
Help information for output fields
|
int |
iterations
Iterations executed
|
java.lang.String |
loading_key
Frame key for X matrix
|
ModelCategory |
model_category
Category of the model (e.g., Binomial).
|
TwoDimTableV3 |
model_summary
Model summary
|
java.lang.String[] |
names
Column names.
|
double |
objective
Objective value
|
TwoDimTableV3 |
scoring_history
Scoring history
|
double[] |
singular_vals
Singular values of XY matrix
|
double |
step_size
Final step size
|
ModelMetricsBase |
training_metrics
Training data model metrics
|
ModelMetricsBase |
validation_metrics
Validation data model metrics
|
| Constructor and Description |
|---|
GLRMModelOutputV99() |
public int iterations
public double objective
public double avg_change_obj
public double step_size
public double[][] archetypes
public double[] singular_vals
public double[][] eigenvectors
public java.lang.String loading_key
public java.lang.String[] names
public java.lang.String[][] domains
public ModelCategory model_category
public TwoDimTableV3 model_summary
public TwoDimTableV3 scoring_history
public ModelMetricsBase training_metrics
public ModelMetricsBase validation_metrics
public java.util.Map<java.lang.String,java.lang.String> help