RNNTrainOptions (Stanford CoreNLP API)

java.lang.Object
- edu.stanford.nlp.sentiment.RNNTrainOptions

All Implemented Interfaces:: Serializable

public class RNNTrainOptions
extends Object
implements Serializable

See Also:: Serialized Form

Field Summary

Fields
Modifier and Type	Field and Description
`int`	`adagradResetFrequency` How many epochs between resets of the adagrad learning rates.
`int`	`batchSize`
`int`	`debugOutputEpochs`
`int`	`epochs` Number of times through all the trees
`double`	`initialAdagradWeight` The value to set the learning rate for each parameter when initializing adagrad.
`double`	`learningRate`
`int`	`maxTrainTimeSeconds`
`double`	`regClassification` Regularization cost for the classification matrices
`double`	`regTransformMatrix` Regularization cost for the transform matrix
`double`	`regTransformTensor` Regularization cost for the transform tensor
`double`	`regWordVector` Regularization cost for the word vectors
`double`	`scalingForInit`

Constructor Summary

Constructors
Constructor and Description

RNNTrainOptions()

Constructors
Constructor and Description
`RNNTrainOptions()`

Method Summary

Methods
Modifier and Type	Method and Description
`double`	`getClassWeight(int i)` The classWeights can be passed in as a comma separated list of weights using the -classWeights flag.
`int`	`setOption(String[] args, int argIndex)`
`String`	`toString()`

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

- Field Detail
  - batchSize
```
public int batchSize
```
  - epochs
```
public int epochs
```
    Number of times through all the trees
  - debugOutputEpochs
```
public int debugOutputEpochs
```
  - maxTrainTimeSeconds
```
public int maxTrainTimeSeconds
```
  - learningRate
```
public double learningRate
```
  - scalingForInit
```
public double scalingForInit
```
  - regTransformMatrix
```
public double regTransformMatrix
```
    Regularization cost for the transform matrix
  - regClassification
```
public double regClassification
```
    Regularization cost for the classification matrices
  - regWordVector
```
public double regWordVector
```
    Regularization cost for the word vectors
  - initialAdagradWeight
```
public double initialAdagradWeight
```
    The value to set the learning rate for each parameter when initializing adagrad.
  - adagradResetFrequency
```
public int adagradResetFrequency
```
    How many epochs between resets of the adagrad learning rates. Set to 0 to never reset.
  - regTransformTensor
```
public double regTransformTensor
```
    Regularization cost for the transform tensor
- Constructor Detail
  - RNNTrainOptions
```
public RNNTrainOptions()
```
- Method Detail
  - getClassWeight
```
public double getClassWeight(int i)
```
    The classWeights can be passed in as a comma separated list of weights using the -classWeights flag. If the classWeights are not specified, the value is assumed to be 1.0. classWeights only apply at train time; we do not weight the classes at all during test time.
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class Object
  - setOption
```
public int setOption(String[] args,
            int argIndex)
```

Class RNNTrainOptions

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

batchSize

epochs

debugOutputEpochs

maxTrainTimeSeconds

learningRate

scalingForInit

regTransformMatrix

regClassification

regWordVector

initialAdagradWeight

adagradResetFrequency

regTransformTensor

Constructor Detail

RNNTrainOptions

Method Detail

getClassWeight

toString

setOption