dummyinference.h

来自「gibbs」· C头文件 代码 · 共 44 行

#ifndef DUMMYINFERENCE_H
#define DUMMYINFERENCE_H
#include "InferenceMethod.h"
#include "VarConfig.h"

// Really dumb inference algorithm; always returns 0.
// Good for baseline time.
class DummyInference : public InferenceMethod
{
private:
    VarSchema schema;

public:
    // Constructor
    DummyInference(VarSchema s)
        : schema(s) { /* NOP */ }

    virtual ~DummyInference() { /* NOP */ }

    virtual void runMarginalInference(const VarSet& evidence)
    { /* NOP */ }

    virtual void runJointInference(const list<int>& queryVars, 
            const VarSet& evidence) 
    { /* NOP */ }

    virtual double singleConditionalLogProb( const list<int>& queryVars,
        const VarSet& evidence, const VarSet& answer) const { return 0; }

    virtual int getRange(int i) const { return schema.getRange(i); }

#if 0
    virtual Distribution getMarginal(int i) const { 
        Distribution m(schema.getRange(i));
        m.normalize();
        return m; 
    }
#endif

    virtual double getMarginalProb(int i, double value) const { return 0; } 
    virtual double getJointProb(const VarConfig& query) const { return 0; }
};
#endif // ndef DUMMYINFERENCE_H