| Package | Description |
|---|---|
| gov.sandia.cognition.collection |
Provides commonly useful collection implementations.
|
| gov.sandia.cognition.learning.algorithm.ensemble |
Provides ensemble methods.
|
| gov.sandia.cognition.learning.data.feature |
Provides data feature extractors.
|
| gov.sandia.cognition.learning.function.scalar |
Provides functions that output real numbers.
|
| gov.sandia.cognition.math.signals |
Provides mathematical signal processing methods.
|
| Modifier and Type | Method and Description |
|---|---|
FiniteCapacityBuffer<DataType> |
FiniteCapacityBuffer.clone() |
| Constructor and Description |
|---|
FiniteCapacityBuffer(FiniteCapacityBuffer<DataType> other)
Copy constructor.
|
| Modifier and Type | Field and Description |
|---|---|
protected FiniteCapacityBuffer<java.lang.Double> |
AbstractCategorizerOutOfBagStoppingCriteria.smoothingBuffer
The buffer used for smoothing.
|
| Modifier and Type | Method and Description |
|---|---|
FiniteCapacityBuffer<DataType> |
DelayFunction.createDefaultState() |
FiniteCapacityBuffer<Vector> |
LinearRegressionCoefficientExtractor.createDefaultState() |
| Modifier and Type | Method and Description |
|---|---|
FiniteCapacityBuffer<java.lang.Double> |
KolmogorovSmirnovEvaluator.createDefaultState() |
| Modifier and Type | Method and Description |
|---|---|
FiniteCapacityBuffer<java.lang.Double> |
MovingAverageFilter.createDefaultState() |
| Modifier and Type | Method and Description |
|---|---|
DefaultPair<FiniteCapacityBuffer<java.lang.Double>,FiniteCapacityBuffer<java.lang.Double>> |
AutoRegressiveMovingAverageFilter.createDefaultState() |
DefaultPair<FiniteCapacityBuffer<java.lang.Double>,FiniteCapacityBuffer<java.lang.Double>> |
AutoRegressiveMovingAverageFilter.createDefaultState() |