| Package | Description |
|---|---|
| com.structed.models | |
| com.structed.models.algorithms | |
| com.structed.models.inference |
| Modifier and Type | Field and Description |
|---|---|
ClassifierData |
Classifier.classifierData |
| Modifier and Type | Method and Description |
|---|---|
Vector |
SVM.update(Vector currentWeights,
Example example,
ClassifierData classifierData)
Implementation of the update rule
|
Vector |
RankSVM.update(Vector currentWeights,
Example example,
ClassifierData classifierData)
Implementation of the update rule
|
Vector |
RampLoss.update(Vector currentWeights,
Example example,
ClassifierData classifierData)
Implementation of the update rule
|
Vector |
ProbitLoss.update(Vector currentWeights,
Example example,
ClassifierData classifierData)
Implementation of the update rule
|
Vector |
Perceptron.update(Vector currentWeights,
Example example,
ClassifierData classifierData)
Implementation of the update rule
|
Vector |
PassiveAggressive.update(Vector currentWeights,
Example example,
ClassifierData classifierData)
Implementation of the update rule
|
Vector |
OrbitLoss.update(Vector currentWeights,
Example example,
ClassifierData classifierData)
Implementation of the update rule
|
Vector |
MultiClassReject.update(Vector currentWeights,
Example example,
ClassifierData classifierData) |
Vector |
IUpdateRule.update(Vector currentWeights,
Example example,
ClassifierData classifierData) |
Vector |
DirectLoss.update(Vector currentWeights,
Example example,
ClassifierData classifierData)
Implementation of the update rule
|
Vector |
CRF.update(Vector currentWeights,
Example example,
ClassifierData classifierData)
Implementation of the update rule
|
| Modifier and Type | Method and Description |
|---|---|
PredictedLabels |
InferenceVowelDurationData.predictForTest(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
int returnAll) |
PredictedLabels |
InferenceRanking.predictForTest(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
int returnAll) |
PredictedLabels |
InferenceOCR.predictForTest(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
int returnAll) |
PredictedLabels |
InferenceMultiClassOld.predictForTest(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
int returnAll) |
PredictedLabels |
InferenceMultiClass.predictForTest(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
int returnAll) |
PredictedLabels |
InferenceDummyData.predictForTest(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
int returnAll) |
PredictedLabels |
IInference.predictForTest(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
int returnAll) |
PredictedLabels |
InferenceVowelDurationData.predictForTrain(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
double epsilonArgMax) |
PredictedLabels |
InferenceRanking.predictForTrain(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
double epsilonArgMax) |
PredictedLabels |
InferenceOCR.predictForTrain(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
double epsilonArgMax) |
PredictedLabels |
InferenceMultiClassOld.predictForTrain(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
double epsilonArgMax) |
PredictedLabels |
InferenceMultiClass.predictForTrain(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
double epsilonArgMax) |
PredictedLabels |
InferenceDummyData.predictForTrain(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
double epsilonArgMax) |
PredictedLabels |
IInference.predictForTrain(Example vector,
Vector W,
java.lang.String realClass,
ClassifierData classifierData,
double epsilonArgMax) |