MR_LIBS/PredictiveModel_8h_source.html

#ifndef __PREDICTIVE_MODEL_H__

#define __PREDICTIVE_MODEL_H__


#include <vector>

#include <string>


using namespace std;

typedef double(*subGradientFunction)(int, const vector<double> &, const vector<vector<float>> &, const vector<float> &, const vector<float> *);


class PredictiveModel {


public:

    PredictiveModel(string name);

    virtual double predict(const vector<float> &input) const = 0;

    virtual subGradientFunction getSubGradients();

    virtual void predict(const vector<vector<float>> &inputs, vector<double> &preds) const;

    virtual void print(const vector<string> &signalNames) const = 0;

    virtual PredictiveModel *clone() const = 0;


    vector<double> model_params;

    string model_name;


    virtual ~PredictiveModel() = default;

};


#endif // !__PREDICTIVE_MODEL_H__

PredictiveModel
Predictive Model is abstract class of predictor model which has parameters for GD or SGD uses it also...
Definition PredictiveModel.h:13

PredictiveModel::clone
virtual PredictiveModel * clone() const =0
copy model

PredictiveModel::model_name
string model_name
model name
Definition PredictiveModel.h:24

PredictiveModel::model_params
vector< double > model_params
model parameters
Definition PredictiveModel.h:23

PredictiveModel::getSubGradients
virtual subGradientFunction getSubGradients()
Subgradient function to calc directly the gradient descent.
Definition PredictiveModel.cpp:35

PredictiveModel::print
virtual void print(const vector< string > &signalNames) const =0
print model to stdout

std
Definition StdDeque.h:58