ModelMetricsListSchemaV3 (h2o-bindings version 3.18.0.8 API)

java.lang.Object
- water.bindings.pojos.SchemaV3
- - water.bindings.pojos.RequestSchemaV3
  - - water.bindings.pojos.ModelMetricsListSchemaV3

public class ModelMetricsListSchemaV3
extends RequestSchemaV3

Field Summary

Fields
Modifier and Type	Field and Description
`java.lang.String`	`customMetricFunc` Reference to custom evaluation function, format: `language:keyName=funcName`
`int`	`deepFeaturesHiddenLayer` Extract Deep Features for given hidden layer (optional, only for Deep Learning models)
`java.lang.String`	`deepFeaturesHiddenLayerName` Extract Deep Features for given hidden layer by name (optional, only for Deep Water models)
`boolean`	`deviances` Compute the deviances per row (optional, only for classification or regression models)
`FrameKeyV3`	`deviancesFrame` Key for the frame containing per-observation deviances (optional)
`int`	`exemplarIndex` Retrieve all members for a given exemplar (optional, only for Aggregator models)
`FrameKeyV3`	`frame` Key of Frame of interest (optional)
`boolean`	`leafNodeAssignment` Return the leaf node assignment (optional, only for DRF/GBM models)
`ModelKeyV3`	`model` Key of Model of interest (optional)
`ModelMetricsBaseV3[]`	`modelMetrics` ModelMetrics
`FrameKeyV3`	`predictionsFrame` Key of predictions frame, if predictions are requested (optional)
`boolean`	`projectArchetypes` Project GLRM archetypes back into original feature space (optional, only for GLRM models)
`boolean`	`reconstructionError` Compute reconstruction error (optional, only for Deep Learning AutoEncoder models)
`boolean`	`reconstructionErrorPerFeature` Compute reconstruction error per feature (optional, only for Deep Learning AutoEncoder models)
`boolean`	`reconstructTrain` Reconstruct original training frame (optional, only for GLRM models)
`boolean`	`reverseTransform` Reverse transformation applied during training to model output (optional, only for GLRM models)

Fields inherited from class water.bindings.pojos.RequestSchemaV3
_excludeFields

Constructor Summary

Constructors
Constructor and Description

ModelMetricsListSchemaV3()
Public constructor

Constructors
Constructor and Description
`ModelMetricsListSchemaV3()` Public constructor

Method Summary

All Methods Instance Methods Concrete 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

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`java.lang.String`	`toString()` Return the contents of this object as a JSON String.

- Field Detail
  - model
```
public ModelKeyV3 model
```
    Key of Model of interest (optional)
  - frame
```
public FrameKeyV3 frame
```
    Key of Frame of interest (optional)
  - predictionsFrame
```
public FrameKeyV3 predictionsFrame
```
    Key of predictions frame, if predictions are requested (optional)
  - deviancesFrame
```
public FrameKeyV3 deviancesFrame
```
    Key for the frame containing per-observation deviances (optional)
  - reconstructionError
```
public boolean reconstructionError
```
    Compute reconstruction error (optional, only for Deep Learning AutoEncoder models)
  - reconstructionErrorPerFeature
```
public boolean reconstructionErrorPerFeature
```
    Compute reconstruction error per feature (optional, only for Deep Learning AutoEncoder models)
  - deepFeaturesHiddenLayer
```
public int deepFeaturesHiddenLayer
```
    Extract Deep Features for given hidden layer (optional, only for Deep Learning models)
  - deepFeaturesHiddenLayerName
```
public java.lang.String deepFeaturesHiddenLayerName
```
    Extract Deep Features for given hidden layer by name (optional, only for Deep Water models)
  - reconstructTrain
```
public boolean reconstructTrain
```
    Reconstruct original training frame (optional, only for GLRM models)
  - projectArchetypes
```
public boolean projectArchetypes
```
    Project GLRM archetypes back into original feature space (optional, only for GLRM models)
  - reverseTransform
```
public boolean reverseTransform
```
    Reverse transformation applied during training to model output (optional, only for GLRM models)
  - leafNodeAssignment
```
public boolean leafNodeAssignment
```
    Return the leaf node assignment (optional, only for DRF/GBM models)
  - exemplarIndex
```
public int exemplarIndex
```
    Retrieve all members for a given exemplar (optional, only for Aggregator models)
  - deviances
```
public boolean deviances
```
    Compute the deviances per row (optional, only for classification or regression models)
  - customMetricFunc
```
public java.lang.String customMetricFunc
```
    Reference to custom evaluation function, format: `language:keyName=funcName`
  - modelMetrics
```
public ModelMetricsBaseV3[] modelMetrics
```
    ModelMetrics
- Constructor Detail
  - ModelMetricsListSchemaV3
```
public ModelMetricsListSchemaV3()
```
    Public constructor
- Method Detail
  - toString
```
public java.lang.String toString()
```
    Return the contents of this object as a JSON String.
    
    Overrides:
    
    toString in class RequestSchemaV3

Class ModelMetricsListSchemaV3

Field Summary

Fields inherited from class water.bindings.pojos.RequestSchemaV3

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

model

frame

predictionsFrame

deviancesFrame

reconstructionError

reconstructionErrorPerFeature

deepFeaturesHiddenLayer

deepFeaturesHiddenLayerName

reconstructTrain

projectArchetypes

reverseTransform

leafNodeAssignment

exemplarIndex

deviances

customMetricFunc

modelMetrics

Constructor Detail

ModelMetricsListSchemaV3

Method Detail

toString