changes.diff
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option java_outer_classname = "BayesNetworkType"; |
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/** |
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* The BayesNetwork message holds the description of a bayesian network |
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* following the XMLBIF Format: |
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* Description of a Bayesian network following the XMLBIF Format:: |
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| 10 | 9 |
* |
| 11 | 10 |
* <!DOCTYPE BIF [ |
| 12 | 11 |
* <!ELEMENT BIF ( NETWORK )*> |
| ... | ... | |
| 23 | 22 |
* <!ELEMENT PROPERTY (#PCDATA)> |
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* ]> |
| 25 | 24 |
* |
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* See: http://www.cs.cmu.edu/afs/cs/user/fgcozman/www/Research/InterchangeFormat/
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* @see http://www.cs.cmu.edu/afs/cs/user/fgcozman/www/Research/InterchangeFormat/
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| 27 | 26 |
* |
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* @author Viktor Richter <vrichter@techfak.uni-bielefeld.de> |
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*/ |
| 30 | 29 |
message BayesNetwork {
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/** |
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* The name of this BayesNetwork
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* The name of the network.
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*/ |
| 35 | 34 |
optional string name = 1; |
| 36 | 35 | |
| 37 | 36 |
/** |
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* Arbitrary properties associated with the network. |
| 39 | 38 |
*/ |
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repeated string property = 2;
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repeated .rst.generic.KeyValuePair property = 2;
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| 42 | 41 |
/** |
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* List of the BayesVariables describing the nodes of the network in
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* combination with theyr connectivity and conditional probability
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* distribution. |
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* List of the BayesVariables describing the nodes of the network |
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* in combination with their connectivity and conditional
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* probability distribution.
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*/ |
| 47 | 46 |
repeated BayesVariable variable = 3; |
| 48 | 47 | |
| 6 | 6 |
option java_outer_classname = "BayesNetworkEvidenceType"; |
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| 7 | 7 | |
| 8 | 8 |
/** |
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* The BayesNetworkEvidence holds a the states of all observed variables of |
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* a BayesNetwork at one timepoint. The Corresponding network can be attached to. |
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* The states of all observed variables of a @ref BayesNetwork at one |
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* point in time. |
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* |
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* The corresponding network can be included in the message. |
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* |
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* @author Viktor Richter <vrichter@techfak.uni-bielefeld.de> |
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*/ |
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message BayesNetworkEvidence {
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| 16 | 18 |
/** |
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* A VariableState is one observation of one BayesVariable.
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* One observation of a @ref BayesVariable.
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*/ |
| 19 | 21 |
message VariableState {
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| 20 | 22 | |
| 21 | 23 |
/** |
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* The name of the observed BayesVariable.
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* The name of the observed variable.
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*/ |
| 24 | 26 |
required string variable = 1; |
| 25 | 27 | |
| 26 | 28 |
/** |
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* The observed state of the BayesVariable.
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* The observed state of the variable.
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*/ |
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required string state = 2; |
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| 31 | 33 |
} |
| 32 | 34 | |
| 33 | 35 |
/** |
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* The corresponding BayesNetwork. |
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* The corresponding @ref BayesNetwork.
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*/ |
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optional BayesNetwork network = 1; |
| 37 | 39 | |
| ... | ... | |
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optional timing.Timestamp time = 2; |
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/** |
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* Number of microseconds this evidence was observed..
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* Number of microseconds this evidence was observed for.
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*/ |
| 46 | 48 |
// @unit(microsecond) |
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optional uint64 duration_microseconds = 4; |
| 48 | 50 | |
| 49 | 51 |
/** |
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* A set of observed VariableStates.
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* A set of observed variable states.
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*/ |
| 52 | 54 |
repeated VariableState observations = 3; |
| 53 | 55 | |
| 3 | 3 |
option java_outer_classname = "BayesVariableType"; |
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| 4 | 4 | |
| 5 | 5 |
/** |
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* BayesVariable used in a BayesNetwork. |
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* Describes a variable with its possible outcomes. |
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* Variable for use in a @ref BayesNetwork describing possible outcomes. |
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* |
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* @author Viktor Richter <vrichter@techfak.uni-bielefeld.de> |
| 10 | 9 |
*/ |
| ... | ... | |
| 16 | 15 |
enum Type {
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| 18 | 17 |
/** |
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* A Simple Variable in the BayesNetwork representing a world state. |
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* A simple variable in the @ref BayesNetwork representing a |
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* world state. |
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*/ |
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NATURE = 1; |
| 22 | 22 | |
| ... | ... | |
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* Represents the quality or benefit of a decision. |
| 30 | 30 |
*/ |
| 31 | 31 |
UTILITY = 3; |
| 32 | ||
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} |
| 33 | 34 | |
| 34 | 35 |
/** |
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* The name of the Variable. This has to be unique in a bayes Network. |
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* The name of the variable. |
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* |
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* This has to be unique in a @ref BayesNetwork. |
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*/ |
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optional string name = 1; |
| 38 | 41 | |
| 39 | 42 |
/** |
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* The Type of the Variable.
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* The type of the variable.
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*/ |
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optional Type type = 2; |
| 43 | 46 | |
| ... | ... | |
| 49 | 52 |
/** |
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* Arbitrary properties associated with the variable. |
| 51 | 54 |
*/ |
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repeated string property = 4;
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repeated .rst.generic.KeyValuePair property = 4;
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| 54 | 57 |
/** |
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* The variables on which state this BayesVariable depends.
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* Names of the variables on which this variable depends.
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*/ |
| 57 | 60 |
repeated string parents = 5; |
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| 59 | 62 |
/** |
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* The conditional probability table describing the probability
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* of each outcome of this variable for each combination of the
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* parents states. |
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* The conditional probability table (cpt) describing the
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* probability of each outcome of this variable for each
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* combination of the parents states.
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* |
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* The cpt holds the probability values for the variable outcomes |
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* in the order \f$ v_1, \dots, v_n, v_0 \f$ with the value |
| 66 | 69 |
* permutation from right to left. |
| 67 | 70 |
* |
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* \verbatim
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* An example with three binary variables would look the following way:
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* An example with three binary variables would look the following
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* way: |
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* |
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* | parent1 | parent2 | variable | position in table | |
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* ---------------------------------------------------- |
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* | 0 | 0 | 0 | 0 | |
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* | 0 | 0 | 1 | 1 | |
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* | 0 | 1 | 0 | 2 | |
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* | 0 | 1 | 1 | 3 | |
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* | 1 | 0 | 0 | 4 | |
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* | 1 | 0 | 1 | 5 | |
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* | 1 | 1 | 0 | 6 | |
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* | 1 | 1 | 1 | 7 | |
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* \endverbatim |
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* | parent1 | parent2 | variable | position in table | |
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* ---------------------------------------------------- |
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* | 0 | 0 | 0 | 0 | |
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* | 0 | 0 | 1 | 1 | |
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* | 0 | 1 | 0 | 2 | |
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* | 0 | 1 | 1 | 3 | |
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* | 1 | 0 | 0 | 4 | |
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* | 1 | 0 | 1 | 5 | |
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* | 1 | 1 | 0 | 6 | |
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* | 1 | 1 | 1 | 7 | |
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*/ |
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repeated double probabilities = 6; |
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repeated double probabilities = 6 [packed=true];
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} |