water.bindings.pojos

Class GLRMModelOutputV3

java.lang.Object

water.bindings.pojos.Schema

water.bindings.pojos.ModelOutputSchema

water.bindings.pojos.GLRMModelOutputV3

public class GLRMModelOutputV3
extends ModelOutputSchema

Field Summary

Fields

Modifier and Type	Field and Description
TwoDimTableV3	archetypes Mapping from lower dimensional k-space to training features
double	avg_change_obj Average change in objective value on final iteration
ModelMetricsBase	cross_validation_metrics Cross-validation model metrics
java.lang.String[]	cross_validation_models Cross-validation models (model ids)
java.lang.String[]	cross_validation_predictions Cross-validation predictions (frame ids)
java.lang.String[][]	domains Domains for categorical columns
TwoDimTableV3	eigenvectors Eigenvectors of XY matrix
long	end_time End time in milliseconds
java.util.Map<java.lang.String,java.lang.String>	help Help information for output fields
int	iterations Iterations executed
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
java.lang.String	representation_name Frame key name for X matrix
long	run_time Runtime in milliseconds
TwoDimTableV3	scoring_history Scoring history
double[]	singular_vals Singular values of XY matrix
long	start_time Start time in milliseconds
java.lang.String	status Job status
double	step_size Final step size
ModelMetricsBase	training_metrics Training data model metrics
int	updates Updates executed
ModelMetricsBase	validation_metrics Validation data model metrics

Constructor Summary

Constructors

Constructor and Description
GLRMModelOutputV3()

Method Summary

Methods inherited from class java.lang.Object

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

Field Detail

iterations

public int iterations

Iterations executed

updates

public int updates

Updates executed

objective

public double objective

Objective value

avg_change_obj

public double avg_change_obj

Average change in objective value on final iteration

step_size

public double step_size

Final step size

archetypes

public TwoDimTableV3 archetypes

Mapping from lower dimensional k-space to training features

singular_vals

public double[] singular_vals

Singular values of XY matrix

eigenvectors

public TwoDimTableV3 eigenvectors

Eigenvectors of XY matrix

representation_name

public java.lang.String representation_name

Frame key name for X matrix

names

public java.lang.String[] names

Column names

domains

public java.lang.String[][] domains

Domains for categorical columns

cross_validation_models

public java.lang.String[] cross_validation_models

Cross-validation models (model ids)

cross_validation_predictions

public java.lang.String[] cross_validation_predictions

Cross-validation predictions (frame ids)

model_category

public ModelCategory model_category

Category of the model (e.g., Binomial)

model_summary

public TwoDimTableV3 model_summary

Model summary

scoring_history

public TwoDimTableV3 scoring_history

Scoring history

training_metrics

public ModelMetricsBase training_metrics

Training data model metrics

validation_metrics

public ModelMetricsBase validation_metrics

Validation data model metrics

cross_validation_metrics

public ModelMetricsBase cross_validation_metrics

Cross-validation model metrics

status

public java.lang.String status

Job status

start_time

public long start_time

Start time in milliseconds

end_time

public long end_time

End time in milliseconds

run_time

public long run_time

Runtime in milliseconds

help

public java.util.Map<java.lang.String,java.lang.String> help

Help information for output fields

Constructor Detail

GLRMModelOutputV3

public GLRMModelOutputV3()