Gets the current maximum temporal order.
Gets the node that this instance belongs to.
Gets the number of distributions in the container.
Determines whether the distribution at the specified temporal order can be updated.
Properties identifying the distribution to check, such as temporal order/related node.
true if the distribution can be updated, false otherwise.
Determines whether the distribution at the specified temporal order can be updated.
Properties identifying the distribution to check, such as temporal order/related node.
The kind of distribution to check.
true if the distribution can be updated, false otherwise.
Finds the temporal distribution that is suitable for the time specified.
The time.
The kind of distribution to retrieve.
The distribution and order that is appropriate for the given time. Can return a null distribution, if the appropriate distribution has not yet been assigned to the node.
Finds the temporal distribution that is suitable for the time specified.
The time.
The distribution that is appropriate for the given time. Can return a null distribution, if the appropriate distribution has not yet been assigned to the node.
Finds the temporal distribution that is suitable for the time specified.
The time.
The distribution and order that is appropriate for the given time. Can return a null distribution, if the appropriate distribution has not yet been assigned to the node.
Finds the temporal distribution that is suitable for the time specified.
The time.
The kind of distribution to retrieve.
The distribution that is appropriate for the given time. Can return a null distribution, if the appropriate distribution has not yet been assigned to the node.
Gets a distribution at a particular temporal order.
When specifying temporal distributions, variables which belong to temporal nodes must have times associated. Each time must be specified relative to the current point in time which is defined as zero. E.g. to specify a distribution at time>=1 we would include variables at time -1 and 0.
The required temporal order.
The requested distribution, which can be null if the node does not support the requested temporal order, or if a distribution has not yet been assigned to that order.
Gets a distribution with particular properties, such as temporal order.
When specifying temporal distributions, variables which belong to temporal nodes must have times associated. Each time must be specified relative to the current point in time which is defined as zero. E.g. to specify a distribution at time>=1 we would include variables at time -1 and 0.
For noisy nodes, multiple distributions are required, one for each parent and a leak distribution.
The properties of the required distribution, such as temporal order.
The requested distribution, which can be null if the node does not support the requested temporal order, or if a distribution has not yet been assigned to that order.
Gets a particular kind of distribution on the node.
For temporal or noisy nodes, use the overload which accepts both a key and kind.
Gets a distribution with particular properties, such as temporal order.
When specifying temporal distributions, variables which belong to temporal nodes must have times associated. Each time must be specified relative to the current point in time which is defined as zero. E.g. to specify a distribution at time>=1 we would include variables at time -1 and 0.
For noisy nodes, multiple distributions are required, one for each parent and a leak distribution.
The properties of the required distribution, such as temporal order.
The kind of distribution we are getting or setting. This allows setting other distribution types than Probability, such as Experience
The requested distribution, which can be null if the node does not support the requested temporal order, or if a distribution has not yet been assigned to that order.
Sets a distribution at a particular temporal order.
When specifying temporal distributions, variables which belong to temporal nodes must have times associated. Each time must be specified relative to the current point in time which is defined as zero. E.g. to specify a distribution at time>=1 we would include variables at time -1 and 0.
The required temporal order.
Sets a distribution with particular properties, such as temporal order.
When specifying temporal distributions, variables which belong to temporal nodes must have times associated. Each time must be specified relative to the current point in time which is defined as zero. E.g. to specify a distribution at time>=1 we would include variables at time -1 and 0.
For noisy nodes, multiple distributions are required, one for each parent and a leak distribution.
The properties of the required distribution, such as temporal order.
Sets a particular kind of distribution on the node.
For temporal or noisy nodes, use the overload which accepts both a key and kind.
Sets a distribution with particular properties, such as temporal order.
When specifying temporal distributions, variables which belong to temporal nodes must have times associated. Each time must be specified relative to the current point in time which is defined as zero. E.g. to specify a distribution at time>=1 we would include variables at time -1 and 0.
For noisy nodes, multiple distributions are required, one for each parent and a leak distribution.
The properties of the required distribution, such as temporal order.
The kind of distribution we are getting or setting. This allows setting other distribution types than Probability, such as Experience
Checks that a distribution is correctly specified for a particular temporal order.
The distribution to test.
The properties that identify a particular distribution such as temporal order/related node.
Checks that a distribution is correctly specified for a particular temporal order.
The distribution to test.
The properties that identify a particular distribution such as temporal order/related node.
The kind of distribution to validate.
Represents the distributions assigned to a {@link com.bayesserver.Node}. Temporal nodes may require more than one distribution to be fully specified.
In a Dynamic Bayesian Network (DBN) a node may require more than one distribution to be specified. This occurs when a temporal node has incoming links of order greater than zero. I.e. Has links from past time slices. For example, if a temporal node has an incoming link of order 1, then it will require a distribution at time t=0, and an additional distribution at t=1. This is because at time t=0 there is no previous time slice, but at time t=1 there is. For times greater than 1, in this example the distribution specified at time t=1 is still valid. However, if a new incoming link of order 12 was added, then an additional distribution would need to be specified at time t=12, valid for times t>=12.