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