| Package | Description |
|---|---|
| javax.visrec |
Visual recognition API provides reusable abstractions for visual recognition tasks based on machine learning,
that simplify implementation and integration of various machine learning models and image types.
|
| javax.visrec.ml.classification | |
| javax.visrec.ml.regression |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractImageClassifier<IMAGE_CLASS,MODEL_CLASS>
Skeleton abstract class to make it easier to implement image classifier.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
BinaryClassifier<T>
Binary classifier classifies object into one of two categories (for example: true/false, yes/no, red/blue, spam/not-spam, fraud/not-fraud).
|
interface |
ImageClassifier<IMAGE_CLASS> |
interface |
MultiClassClassifier<T,R>
Machine learning algorithms that provide multi class classification.
|
interface |
NeuralNetBinaryClassifier<T> |
interface |
NeuralNetImageClassifier<T> |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractMultiClassClassifier<MODEL_CLASS,T,R> |
class |
EnsambleClassifier<T,R>
EnsambleClassifier is a group of classifiers that provide common
classification result, which gives better accuracy then each individual
classifier.
|
| Modifier and Type | Method and Description |
|---|---|
<T> Classifier<T,String> |
ClassifierBuilder.buildWithSourceType(Class<T> sourceCls)
Deprecated.
Create the
Classifier that is able to use sourceClss as input/source type and
String as default return type of the Classifier |
abstract <T,R> Classifier<T,R> |
ClassifierBuilder.buildWithSourceType(Class<T> sourceCls,
Class<R> returnCls)
Deprecated.
Create the
Classifier that is able to use sourceClss as input/source type and
returnCls as return type of the Classifier |
Classifier |
EnsambleClassifier.getClassifier(String classiferId) |
| Modifier and Type | Method and Description |
|---|---|
void |
EnsambleClassifier.addClassifier(String classifierId,
Classifier<T,R> classifier) |
| Modifier and Type | Class and Description |
|---|---|
class |
LogisticRegression<MODEL_CLASS>
This class performs basic binary classification - mapping of specified input to true/false with probability.
|
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