Class CausalInferenceBase
- java.lang.Object
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- com.bayesserver.causal.CausalInferenceBase
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- All Implemented Interfaces:
Inference
- Direct Known Subclasses:
BackdoorInference
,DisjunctiveCauseInference
,FrontDoorInference
public abstract class CausalInferenceBase extends Object implements Inference
Base class for Causal inference engines used by internal algorithms.
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Constructor Summary
Constructors Constructor Description CausalInferenceBase(Network network, InferenceFactory factory)
Initializes a new instance of theCausalInferenceBase
class.
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Method Summary
All Methods Instance Methods Abstract Methods Concrete Methods Modifier and Type Method Description Evidence
getBaseEvidence()
Optional evidence which can be used to calculate the lift of queries.Evidence
getEvidence()
Represents the evidence, or case data (e.g.Network
getNetwork()
The target Bayesian network.QueryDistributionCollection
getQueryDistributions()
Gets the collection of distributions to calculate.QueryFunctionCollection
getQueryFunctions()
Gets the collection of functions to evaluate, after QueryDistributions have been calculated.QueryLifecycle
getQueryLifecycle()
Optional, allowing callers to hook into query lifecycle events, such as begin query and end query.void
query(QueryOptions queryOptions, QueryOutput queryOutput)
Calculates a number of distributions, e.g.protected abstract void
queryDistributionsInner(QueryOptions queryOptions, QueryOutput queryOutput)
void
setBaseEvidence(Evidence value)
Optional evidence which can be used to calculate the lift of queries.void
setEvidence(Evidence value)
Represents the evidence, or case data (e.g.protected void
setNetwork(Network value)
void
setQueryDistributions(QueryDistributionCollection value)
Sets the collection of distributions to calculate.void
setQueryFunctions(QueryFunctionCollection value)
Sets the collection of functions to evaluate, after QueryDistributions have been calculated.void
setQueryLifecycle(QueryLifecycle value)
Optional, allowing callers to hook into query lifecycle events, such as begin query and end query.
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Constructor Detail
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CausalInferenceBase
public CausalInferenceBase(Network network, InferenceFactory factory)
Initializes a new instance of theCausalInferenceBase
class.- Parameters:
network
- The Bayesian network.factory
- Inference factory which is used when a network transformation is required.
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Method Detail
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query
public void query(QueryOptions queryOptions, QueryOutput queryOutput) throws InconsistentEvidenceException
Calculates a number of distributions, e.g. P(A) and P(B) given theevidence
(case data, e.g. row in a database), and if requested the log-likelihood of the data. Each time this method is called thedistributions
have their values replaced, acting like buffers.As well as requesting distributions of the form P(A), P(B) it is also possible to request distributions over a number of variables such as P(A,B).
If
CLGaussian
distributions are requested that include instantiated discrete variables, an algorithm may legitimately return mean and covariance values equal to NaN for entries corresponding to inconsistent discrete combinations. For example, if a CLGaussian is requested that includes a discrete variable 'Gender' with states 'Male' and 'Female' and evidence is set to 'Female' then any mean and covariance entries that correspond to 'Male' may be set to NaN. NaN values will always be accompanied by a corresponding zero value in theCLGaussian.getTable()
.- Specified by:
query
in interfaceInference
- Parameters:
queryOptions
- Options governing which calculations are performed and how.queryOutput
- Returns any information, in addition to thedistributions
, that is requested. For example thelog-likelihood
.- Throws:
InconsistentEvidenceException
- Raised if inconsistent evidence is detected, or underflow/overflow occurs when calculating queries or the conflict measure. Note that log-likelihood calculations do not raise this exception, but instead report -Infinity or +Infinity.
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queryDistributionsInner
protected abstract void queryDistributionsInner(QueryOptions queryOptions, QueryOutput queryOutput) throws InconsistentEvidenceException
- Throws:
InconsistentEvidenceException
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getNetwork
public Network getNetwork()
The target Bayesian network.- Specified by:
getNetwork
in interfaceInference
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setNetwork
protected void setNetwork(Network value)
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getEvidence
public Evidence getEvidence()
Represents the evidence, or case data (e.g. row in a database) used in aquery
. Thedistributions
are only recalculated byInference.query(com.bayesserver.inference.QueryOptions, com.bayesserver.inference.QueryOutput)
, not each time evidence is changed.For more information see
Evidence
.- Specified by:
getEvidence
in interfaceInference
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setEvidence
public void setEvidence(Evidence value)
Represents the evidence, or case data (e.g. row in a database) used in aquery
. Thedistributions
are only recalculated byInference.query(com.bayesserver.inference.QueryOptions, com.bayesserver.inference.QueryOutput)
, not each time evidence is changed.For more information see
Evidence
.- Specified by:
setEvidence
in interfaceInference
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getBaseEvidence
public Evidence getBaseEvidence()
Optional evidence which can be used to calculate the lift of queries. Defaults to null. WhenQueryDistribution.getComparison()
istrue
queries are adjusted based on marginals calculated with this evidence or no evidence if this value is null.- Specified by:
getBaseEvidence
in interfaceInference
- See Also:
QueryDistribution.getComparison()
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setBaseEvidence
public void setBaseEvidence(Evidence value)
Optional evidence which can be used to calculate the lift of queries. Defaults to null. WhenQueryDistribution.getComparison()
istrue
queries are adjusted based on marginals calculated with this evidence or no evidence if this value is null.- Specified by:
setBaseEvidence
in interfaceInference
- See Also:
QueryDistribution.getComparison()
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getQueryDistributions
public QueryDistributionCollection getQueryDistributions()
Gets the collection of distributions to calculate. SeeQueryDistributionCollection
. If required, a query distribution collection can be dynamically attached or detached. Also note that individual elements can be enabled or disabled on a per query basis.- Specified by:
getQueryDistributions
in interfaceInference
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setQueryDistributions
public void setQueryDistributions(QueryDistributionCollection value)
Sets the collection of distributions to calculate. SeeQueryDistributionCollection
. If required, a query distribution collection can be dynamically attached or detached. Also note that individual elements can be enabled or disabled on a per query basis.- Specified by:
setQueryDistributions
in interfaceInference
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getQueryLifecycle
public QueryLifecycle getQueryLifecycle()
Optional, allowing callers to hook into query lifecycle events, such as begin query and end query.- Specified by:
getQueryLifecycle
in interfaceInference
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setQueryLifecycle
public void setQueryLifecycle(QueryLifecycle value)
Optional, allowing callers to hook into query lifecycle events, such as begin query and end query.- Specified by:
setQueryLifecycle
in interfaceInference
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getQueryFunctions
public QueryFunctionCollection getQueryFunctions()
Gets the collection of functions to evaluate, after QueryDistributions have been calculated. If required, a query function collection can be dynamically attached or detached. Also note that individual elements can be enabled or disabled on a per query basis.- Specified by:
getQueryFunctions
in interfaceInference
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setQueryFunctions
public void setQueryFunctions(QueryFunctionCollection value)
Sets the collection of functions to evaluate, after QueryDistributions have been calculated. If required, a query function collection can be dynamically attached or detached. Also note that individual elements can be enabled or disabled on a per query basis.- Specified by:
setQueryFunctions
in interfaceInference
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