Package edu.cmu.tetrad.sem
Class SemOptimizerEm
java.lang.Object
edu.cmu.tetrad.sem.SemOptimizerEm
- All Implemented Interfaces:
SemOptimizer
,TetradSerializable
,Serializable
Optimizes a DAG SEM with hidden variables using expectation-maximization. IT SHOULD NOT BE USED WITH SEMs THAT ARE
NOT DAGS. For DAGs without hidden variables, SemOptimizerRegression should be more efficient.
- Author:
- Ricardo Silva, josephramsey Cleanup, modernization.
- See Also:
-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionint
void
Optimizes the fitting function of a Sem by adjusting its parameter values.static SemOptimizerEm
Generates a simple exemplar of this class to test serialization.void
setNumRestarts
(int numRestarts) toString()
-
Constructor Details
-
SemOptimizerEm
public SemOptimizerEm()
-
-
Method Details
-
serializableInstance
Generates a simple exemplar of this class to test serialization. -
optimize
Description copied from interface:SemOptimizer
Optimizes the fitting function of a Sem by adjusting its parameter values.- Specified by:
optimize
in interfaceSemOptimizer
- Parameters:
semIm
- The unoptimized Sem (will be optimized).
-
getNumRestarts
public int getNumRestarts()- Specified by:
getNumRestarts
in interfaceSemOptimizer
-
setNumRestarts
public void setNumRestarts(int numRestarts) - Specified by:
setNumRestarts
in interfaceSemOptimizer
-
toString
-