| Interface | Description |
|---|---|
| PosteriorSamplingAlgorithm | |
| ProbabilisticModel |
A model composed of
Variables that can return a value of log-probability for a given set of input values. |
| ProbabilisticModelWithGradient |
A
ProbabilisticModel that can also return the gradient of its log-probability: required by algorithms such as Keanu.Sampling.NUTS and GradientOptimizer. |
| SaveStatistics | |
| Variable<VALUE,STATE extends VariableState> | |
| VariableReference |
A unique identifier for a
Variable, used as a key in Maps |
| Class | Description |
|---|---|
| NetworkSample |
A network sample contains the state of the network (variable values) and the logOfMasterP at
a given point in time.
|
| NetworkSamples |
An immutable collection of network samples.
|
| Samples<T> | |
| Statistics |