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