GLRMParametersV3 (h2o-bindings version 3.18.0.8 API)

java.lang.Object
- water.bindings.pojos.SchemaV3
- - water.bindings.pojos.ModelParametersSchemaV3
  - - water.bindings.pojos.GLRMParametersV3

public class GLRMParametersV3
extends ModelParametersSchemaV3

Field Summary

Fields
Modifier and Type	Field and Description
`boolean`	`expandUserY` Expand categorical columns in user-specified initial Y
`double`	`gammaX` Regularization weight on X matrix
`double`	`gammaY` Regularization weight on Y matrix
`boolean`	`imputeOriginal` Reconstruct original training data by reversing transform
`GenmodelalgosglrmGlrmInitialization`	`init` Initialization mode
`double`	`initStepSize` Initial step size
`int`	`k` Rank of matrix approximation
`java.lang.String`	`loadingName` Frame key to save resulting X
`GenmodelalgosglrmGlrmLoss`	`loss` Numeric loss function
`GenmodelalgosglrmGlrmLoss[]`	`lossByCol` Loss function by column (override)
`int[]`	`lossByColIdx` Loss function by column index (override)
`int`	`maxIterations` Maximum number of iterations
`int`	`maxUpdates` Maximum number of updates, defaults to 2*max_iterations
`double`	`minStepSize` Minimum step size
`GenmodelalgosglrmGlrmLoss`	`multiLoss` Categorical loss function
`int`	`period` Length of period (only used with periodic loss function)
`boolean`	`recoverSvd` Recover singular values and eigenvectors of XY
`GenmodelalgosglrmGlrmRegularizer`	`regularizationX` Regularization function for X matrix
`GenmodelalgosglrmGlrmRegularizer`	`regularizationY` Regularization function for Y matrix
`long`	`seed` RNG seed for initialization
`SVDMethod`	`svdMethod` Method for computing SVD during initialization (Caution: Randomized is currently experimental and unstable)
`DataInfoTransformType`	`transform` Transformation of training data
`FrameKeyV3`	`userX` User-specified initial X
`FrameKeyV3`	`userY` User-specified initial Y

Constructor Summary

Constructors
Constructor and Description

GLRMParametersV3()
Public constructor

Constructors
Constructor and Description
`GLRMParametersV3()` 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
  - transform
```
public DataInfoTransformType transform
```
    Transformation of training data
  - k
```
public int k
```
    Rank of matrix approximation
  - loss
```
public GenmodelalgosglrmGlrmLoss loss
```
    Numeric loss function
  - multiLoss
```
public GenmodelalgosglrmGlrmLoss multiLoss
```
    Categorical loss function
  - lossByCol
```
public GenmodelalgosglrmGlrmLoss[] lossByCol
```
    Loss function by column (override)
  - lossByColIdx
```
public int[] lossByColIdx
```
    Loss function by column index (override)
  - period
```
public int period
```
    Length of period (only used with periodic loss function)
  - regularizationX
```
public GenmodelalgosglrmGlrmRegularizer regularizationX
```
    Regularization function for X matrix
  - regularizationY
```
public GenmodelalgosglrmGlrmRegularizer regularizationY
```
    Regularization function for Y matrix
  - gammaX
```
public double gammaX
```
    Regularization weight on X matrix
  - gammaY
```
public double gammaY
```
    Regularization weight on Y matrix
  - maxIterations
```
public int maxIterations
```
    Maximum number of iterations
  - maxUpdates
```
public int maxUpdates
```
    Maximum number of updates, defaults to 2*max_iterations
  - initStepSize
```
public double initStepSize
```
    Initial step size
  - minStepSize
```
public double minStepSize
```
    Minimum step size
  - seed
```
public long seed
```
    RNG seed for initialization
  - init
```
public GenmodelalgosglrmGlrmInitialization init
```
    Initialization mode
  - svdMethod
```
public SVDMethod svdMethod
```
    Method for computing SVD during initialization (Caution: Randomized is currently experimental and unstable)
  - userY
```
public FrameKeyV3 userY
```
    User-specified initial Y
  - userX
```
public FrameKeyV3 userX
```
    User-specified initial X
  - loadingName
```
public java.lang.String loadingName
```
    Frame key to save resulting X
  - expandUserY
```
public boolean expandUserY
```
    Expand categorical columns in user-specified initial Y
  - imputeOriginal
```
public boolean imputeOriginal
```
    Reconstruct original training data by reversing transform
  - recoverSvd
```
public boolean recoverSvd
```
    Recover singular values and eigenvectors of XY
- Constructor Detail
  - GLRMParametersV3
```
public GLRMParametersV3()
```
    Public constructor
- Method Detail
  - toString
```
public java.lang.String toString()
```
    Return the contents of this object as a JSON String.
    
    Overrides:
    
    toString in class ModelParametersSchemaV3

Class GLRMParametersV3

Field Summary

Fields inherited from class water.bindings.pojos.ModelParametersSchemaV3

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

transform

k

loss

multiLoss

lossByCol

lossByColIdx

period

regularizationX

regularizationY

gammaX

gammaY

maxIterations

maxUpdates

initStepSize

minStepSize

seed

init

svdMethod

userY

userX

loadingName

expandUserY

imputeOriginal

recoverSvd

Constructor Detail

GLRMParametersV3

Method Detail

toString