water.bindings.pojos

Class ModelMetricsBase

java.lang.Object

water.bindings.pojos.Schema

water.bindings.pojos.ModelMetricsBase

Direct Known Subclasses:

ModelMetricsAutoEncoderV3, ModelMetricsBinomialV3, ModelMetricsClusteringV3, ModelMetricsGLRMV99, ModelMetricsMultinomialV3, ModelMetricsPCAV3, ModelMetricsRegressionV3, ModelMetricsSVDV99

public class ModelMetricsBase
extends Schema

Field Summary

Fields

Modifier and Type	Field and Description
java.lang.String	description Optional description for this scoring run (to note out-of-bag, sampled data, etc.)
FrameKeyV3	frame The frame used for this scoring run.
long	frame_checksum The checksum for the frame used for this scoring run.
ModelKeyV3	model The model used for this scoring run.
ModelCategory	model_category The category (e.g., Clustering) for the model used for this scoring run.
long	model_checksum The checksum for the model used for this scoring run.
double	MSE The Mean Squared Error of the prediction for this scoring run.
FrameV3	predictions Predictions Frame.
long	scoring_time The time in mS since the epoch for the start of this scoring run.

Constructor Summary

Constructors

Constructor and Description
ModelMetricsBase()

Method Summary

Methods

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

model

public ModelKeyV3 model

The model used for this scoring run.

model_checksum

public long model_checksum

The checksum for the model used for this scoring run.

frame

public FrameKeyV3 frame

The frame used for this scoring run.

frame_checksum

public long frame_checksum

The checksum for the frame used for this scoring run.

description

public java.lang.String description

Optional description for this scoring run (to note out-of-bag, sampled data, etc.)

model_category

public ModelCategory model_category

The category (e.g., Clustering) for the model used for this scoring run.

scoring_time

public long scoring_time

The time in mS since the epoch for the start of this scoring run.

predictions

public FrameV3 predictions

Predictions Frame.

MSE

public double MSE

The Mean Squared Error of the prediction for this scoring run.

Constructor Detail

ModelMetricsBase

public ModelMetricsBase()

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class Schema