Package | Description |
---|---|
org.openimaj.ml.linear.learner | |
org.openimaj.ml.linear.learner.init | |
org.openimaj.ml.linear.learner.matlib | |
org.openimaj.ml.linear.learner.perceptron |
Modifier and Type | Class and Description |
---|---|
class |
BilinearSparseFISTALearner |
class |
BilinearSparseOnlineLearner
An implementation of a stochastic gradient decent with proximal perameter adjustment
(for regularised parameters).
|
class |
BilinearUnmixedSparseOnlineLearner
An implementation of a stochastic gradient decent with proximal parameter
adjustment (for regularised parameters).
|
class |
IncrementalBilinearSparseOnlineLearner |
Modifier and Type | Field and Description |
---|---|
protected OnlineLearner<INDEPENDANT,DEPENDANT> |
AbstractContextAwareInitStrategy.learner |
Modifier and Type | Method and Description |
---|---|
void |
ContextAwareInitStrategy.setLearner(OnlineLearner<INDEPENDANT,DEPENDANT> learner)
The
|
void |
AbstractContextAwareInitStrategy.setLearner(OnlineLearner<INDEPENDANT,DEPENDANT> learner) |
Modifier and Type | Class and Description |
---|---|
class |
MatlibBilinearSparseOnlineLearner
An implementation of a stochastic gradient decent with proximal perameter adjustment
(for regularised parameters).
|
Modifier and Type | Class and Description |
---|---|
class |
DoubleArrayKernelPerceptron
An implementation of a simple
KernelPerceptron which works with
double arrays. |
class |
KernelPerceptron<INDEPENDANT,DEPENDANT> |
class |
MarginMeanCenteredPerceptron |
class |
MeanCenteredKernelPerceptron |
class |
MeanCenteredProjectron |
class |
OISVM |
class |
PlusOneDoubleArrayKernelPerceptron
An implementation of a simple
KernelPerceptron which works with
double array inputs and is binary. |
class |
Projectron |
class |
SimplePerceptron |
class |
ThresholdDoubleArrayKernelPerceptron
An implementation of a simple
KernelPerceptron which works with
double array inputs and is binary. |