Package | Description |
---|---|
org.openimaj.ml.linear.learner.init |
Modifier and Type | Interface and Description |
---|---|
interface |
ContextAwareInitStrategy<INDEPENDANT,DEPENDANT>
A
ContextAwareInitStrategy is told the learner it is initialising against
and the current INDEPENDANT and DEPENDANT variables at init time. |
Modifier and Type | Class and Description |
---|---|
class |
AbstractContextAwareInitStrategy<INDEPENDANT,DEPENDANT>
Holds on to the learner and the context variables
|
class |
CurrentUMean
Useable only with
BilinearSparseOnlineLearner instances. |
class |
CurrentValueMean
Given a matrix considered its "current value" this init strategy takes the current value
and averages the columns (creating the mean row).
|
class |
CurrentWMean
Useable only with
BilinearSparseOnlineLearner instances. |
class |
FirstValueInitStrat
Completely ignores desired dimensions and returns the first
Y value seen
|
class |
HardCodedInitStrat
Completely ignores desired dimensions and returns what it wants
|
class |
MatlabFileInitStrat
Given a matlab file, return its matrix held in the "arr" field as the initialisation matrix
|
class |
OnesInitStrategy |
class |
OnesZeroRowInitStrategy |
class |
RandomInitStrategy |
class |
SingleValueInitStrat |
class |
SparseOnesInitStrategy |
class |
SparseRandomInitStrategy |
class |
SparseRowOnesInitStrategy |
class |
SparseRowRandomInitStrategy |
class |
SparseSingleValueInitStrat |
class |
SparseZerosInitStrategy |