Package | Description |
---|---|
com.structed.models | |
com.structed.models.inference |
Modifier and Type | Field and Description |
---|---|
IInference |
ClassifierData.inference |
Modifier and Type | Method and Description |
---|---|
void |
StructEDModel.setInference(IInference inference) |
Constructor and Description |
---|
StructEDModel(Vector init_weights,
IUpdateRule updateRule,
ITaskLoss taskLoss,
IInference inference,
IKernel kernel,
IFeatureFunctions phi,
java.util.ArrayList<java.lang.Double> args) |
StructEDModel(Vector init_weights,
IUpdateRule updateRule,
ITaskLoss taskLoss,
IInference inference,
IKernel kernel,
IFeatureFunctions phi,
java.util.ArrayList<java.lang.Double> args,
boolean isShuffle) |
Modifier and Type | Class and Description |
---|---|
class |
InferenceDummyData
Dummy data inference example
|
class |
InferenceMultiClass
Multi class inference
Created by yossiadi on 7/17/15.
|
class |
InferenceMultiClassOld
Multi class inference - slower version
|
class |
InferenceOCR
An inference for the OCR task as described here: http://papers.nips.cc/paper/2397-max-margin-markov-networks.pdf
Created by yossiadi on 19/12/2015.
|
class |
InferenceRanking |
class |
InferenceVowelDurationData
Inference for the Vowel Duration Measurement task
|