water.bindings.pojos

Class ModelMetricsBaseV3

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.ModelMetricsBaseV3

Direct Known Subclasses:

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

public class ModelMetricsBaseV3
extends SchemaV3

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	frameChecksum The checksum for the frame used for this scoring run.
ModelKeyV3	model The model used for this scoring run.
ModelCategory	modelCategory The category (e.g., Clustering) for the model used for this scoring run.
long	modelChecksum The checksum for the model used for this scoring run.
double	mse The Mean Squared Error of the prediction for this scoring run.
long	nobs Number of observations.
FrameV3	predictions Predictions Frame.
long	scoringTime The time in mS since the epoch for the start of this scoring run.

Fields inherited from class water.bindings.pojos.SchemaV3

_excludeFields

Constructor Summary

Constructors

Constructor and Description
ModelMetricsBaseV3() Public constructor

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.

modelChecksum

public long modelChecksum

The checksum for the model used for this scoring run.

frame

public FrameKeyV3 frame

The frame used for this scoring run.

frameChecksum

public long frameChecksum

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.)

modelCategory

public ModelCategory modelCategory

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

scoringTime

public long scoringTime

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.

nobs

public long nobs

Number of observations.

Constructor Detail

ModelMetricsBaseV3

public ModelMetricsBaseV3()

Public constructor

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class SchemaV3