EasyPredictModelWrapper.Config (h2o-genmodel 3.46.0 API)

java.lang.Object
- hex.genmodel.easy.EasyPredictModelWrapper.Config

Enclosing class:

EasyPredictModelWrapper
```
public static class EasyPredictModelWrapper.Config
extends java.lang.Object
```
Configuration builder for instantiating a Wrapper.

Constructor Summary

Constructors
Constructor and Description

Config()

Constructors
Constructor and Description
`Config()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`boolean`	`getConvertInvalidNumbersToNa()`
`boolean`	`getConvertUnknownCategoricalLevelsToNa()`
`boolean`	`getEnableContributions()`
`boolean`	`getEnableGLRMReconstrut()`
`boolean`	`getEnableLeafAssignment()`
`boolean`	`getEnableStagedProbabilities()`
`EasyPredictModelWrapper.ErrorConsumer`	`getErrorConsumer()`
`int`	`getGLRMIterNumber()`
`GenModel`	`getModel()`
`boolean`	`getUseExtendedOutput()`
`boolean`	`getUseExternalEncoding()`
`EasyPredictModelWrapper.Config`	`setConvertInvalidNumbersToNa(boolean value)` Specify the default action when a string value cannot be converted to a number.
`EasyPredictModelWrapper.Config`	`setConvertUnknownCategoricalLevelsToNa(boolean value)` Specify how to handle unknown categorical levels.
`EasyPredictModelWrapper.Config`	`setEnableContributions(boolean val)`
`EasyPredictModelWrapper.Config`	`setEnableGLRMReconstrut(boolean value)`
`EasyPredictModelWrapper.Config`	`setEnableLeafAssignment(boolean val)`
`EasyPredictModelWrapper.Config`	`setEnableStagedProbabilities(boolean val)`
`EasyPredictModelWrapper.Config`	`setErrorConsumer(EasyPredictModelWrapper.ErrorConsumer errorConsumer)` Specify an instance of `EasyPredictModelWrapper.ErrorConsumer` the `EasyPredictModelWrapper` is going to call whenever an error defined by the `EasyPredictModelWrapper.ErrorConsumer` instance occurs.
`EasyPredictModelWrapper.Config`	`setGLRMIterNumber(int value)`
`EasyPredictModelWrapper.Config`	`setModel(GenModel value)` Specify model object to wrap.
`EasyPredictModelWrapper.Config`	`setUseExtendedOutput(boolean value)` Specify whether to include additional metadata in the prediction output.
`EasyPredictModelWrapper.Config`	`setUseExternalEncoding(boolean val)` Allows to switch on/off applying categorical encoding in EasyPredictModelWrapper.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - Config
```
public Config()
```
- Method Detail
  - setModel
```
public EasyPredictModelWrapper.Config setModel(GenModel value)
```
    Specify model object to wrap.
    
    Parameters:
    
    value - model
    
    Returns:
    
    this config object
  - getModel
```
public GenModel getModel()
```
    Returns:
    
    model object being wrapped
  - setConvertUnknownCategoricalLevelsToNa
```
public EasyPredictModelWrapper.Config setConvertUnknownCategoricalLevelsToNa(boolean value)
```
    Specify how to handle unknown categorical levels.
    
    Parameters:
    
    value - false: throw exception; true: convert to N/A
    
    Returns:
    
    this config object
  - setEnableLeafAssignment
```
public EasyPredictModelWrapper.Config setEnableLeafAssignment(boolean val)
                                                       throws java.io.IOException
```
    Throws:
    
    java.io.IOException
  - setEnableGLRMReconstrut
```
public EasyPredictModelWrapper.Config setEnableGLRMReconstrut(boolean value)
                                                       throws java.io.IOException
```
    Throws:
    
    java.io.IOException
  - setGLRMIterNumber
```
public EasyPredictModelWrapper.Config setGLRMIterNumber(int value)
                                                 throws java.io.IOException
```
    Throws:
    
    java.io.IOException
  - setEnableStagedProbabilities
```
public EasyPredictModelWrapper.Config setEnableStagedProbabilities(boolean val)
                                                            throws java.io.IOException
```
    Throws:
    
    java.io.IOException
  - getEnableGLRMReconstrut
```
public boolean getEnableGLRMReconstrut()
```
  - setEnableContributions
```
public EasyPredictModelWrapper.Config setEnableContributions(boolean val)
                                                      throws java.io.IOException
```
    Throws:
    
    java.io.IOException
  - getEnableContributions
```
public boolean getEnableContributions()
```
  - setUseExternalEncoding
```
public EasyPredictModelWrapper.Config setUseExternalEncoding(boolean val)
```
    Allows to switch on/off applying categorical encoding in EasyPredictModelWrapper. In current implementation only AUTO encoding is supported by the Wrapper, users are required to set this flag to true if they want to use POJOs/MOJOs with other encodings than AUTO. This requirement will be removed in https://github.com/h2oai/h2o-3/issues/8707
    
    Parameters:
    
    val - if true, user needs to provide already encoded input in the RowData structure
    
    Returns:
    
    self
  - getUseExternalEncoding
```
public boolean getUseExternalEncoding()
```
  - getConvertUnknownCategoricalLevelsToNa
```
public boolean getConvertUnknownCategoricalLevelsToNa()
```
    Returns:
    
    Setting for unknown categorical levels handling
  - getGLRMIterNumber
```
public int getGLRMIterNumber()
```
  - setConvertInvalidNumbersToNa
```
public EasyPredictModelWrapper.Config setConvertInvalidNumbersToNa(boolean value)
```
    Specify the default action when a string value cannot be converted to a number.
    
    Parameters:
    
    value - if true, then an N/A value will be produced, if false an exception will be thrown.
  - getConvertInvalidNumbersToNa
```
public boolean getConvertInvalidNumbersToNa()
```
  - setUseExtendedOutput
```
public EasyPredictModelWrapper.Config setUseExtendedOutput(boolean value)
```
    Specify whether to include additional metadata in the prediction output. This feature needs to be supported by a particular model and type of metadata is model specific.
    
    Parameters:
    
    value - if true, then the Prediction result will contain extended information about the prediction (this will be specific to a particular model).
    
    Returns:
    
    this config object
  - getUseExtendedOutput
```
public boolean getUseExtendedOutput()
```
  - getEnableLeafAssignment
```
public boolean getEnableLeafAssignment()
```
  - getEnableStagedProbabilities
```
public boolean getEnableStagedProbabilities()
```
  - getErrorConsumer
```
public EasyPredictModelWrapper.ErrorConsumer getErrorConsumer()
```
    Returns:
    
    An instance of ErrorConsumer used to build the EasyPredictModelWrapper. Null if there is no instance.
  - setErrorConsumer
```
public EasyPredictModelWrapper.Config setErrorConsumer(EasyPredictModelWrapper.ErrorConsumer errorConsumer)
```
    Specify an instance of EasyPredictModelWrapper.ErrorConsumer the EasyPredictModelWrapper is going to call whenever an error defined by the EasyPredictModelWrapper.ErrorConsumer instance occurs.
    
    Parameters:
    
    errorConsumer - An instance of EasyPredictModelWrapper.ErrorConsumer
    
    Returns:
    
    This EasyPredictModelWrapper.Config object

Class EasyPredictModelWrapper.Config

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Config

Method Detail

setModel

getModel

setConvertUnknownCategoricalLevelsToNa

setEnableLeafAssignment

setEnableGLRMReconstrut

setGLRMIterNumber

setEnableStagedProbabilities

getEnableGLRMReconstrut

setEnableContributions

getEnableContributions

setUseExternalEncoding

getUseExternalEncoding

getConvertUnknownCategoricalLevelsToNa

getGLRMIterNumber

setConvertInvalidNumbersToNa

getConvertInvalidNumbersToNa

setUseExtendedOutput

getUseExtendedOutput

getEnableLeafAssignment

getEnableStagedProbabilities

getErrorConsumer

setErrorConsumer