Package | Description |
---|---|
gov.sandia.cognition.collection |
Provides commonly useful collection implementations.
|
gov.sandia.cognition.math.matrix |
Provides interfaces and classes for linear algebra.
|
gov.sandia.cognition.statistics |
Provides the inheritance hierarchy for general statistical methods and distributions.
|
gov.sandia.cognition.statistics.distribution |
Provides statistical distributions.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractLogNumberMap<KeyType>
A partial implementation of a ScalarMap with a LogNumber value
|
class |
AbstractMutableDoubleMap<KeyType>
A partial implementation of a ScalarMap with a MutableDouble value
|
Modifier and Type | Method and Description |
---|---|
AbstractScalarMap<KeyType,NumberType> |
AbstractScalarMap.clone() |
Modifier and Type | Class and Description |
---|---|
class |
DefaultInfiniteVector<KeyType>
An implementation of an
InfiniteVector backed by a
LinkedHashMap . |
Modifier and Type | Class and Description |
---|---|
class |
AbstractDataDistribution<KeyType>
An abstract implementation of the
DataDistribution interface. |
Modifier and Type | Class and Description |
---|---|
class |
DataCountTreeSetBinnedMapHistogram<ValueType extends java.lang.Comparable<? super ValueType>>
The
DataCountTreeSetBinnedMapHistogram class extends a
DefaultDataDistribution by mapping values to user defined bins
using a TreeSetBinner . |
class |
DefaultDataDistribution<KeyType>
A default implementation of
ScalarDataDistribution that uses a
backing map. |
static class |
DefaultDataDistribution.PMF<KeyType>
PMF of the DefaultDataDistribution
|
class |
ScalarDataDistribution
A Data Distribution that uses Doubles as its keys, making it a univariate
distribution
|
static class |
ScalarDataDistribution.CDF
CDF of the ScalarDataDistribution, maintains the keys/domain in
sorted order (TreeMap), so it's slower than it's peers.
|
static class |
ScalarDataDistribution.PMF
PMF of the ScalarDataDistribution
|