261 lines
24 KiB
MQL5
261 lines
24 KiB
MQL5
//+------------------------------------------------------------------+
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//| FQF.mqh |
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//| Copyright DNG® |
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//| https://www.mql5.com/ru/users/dng |
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//+------------------------------------------------------------------+
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#property copyright "Copyright DNG®"
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#property link "https://www.mql5.com/ru/users/dng"
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#property version "1.00"
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//+------------------------------------------------------------------+
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//| Includes |
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//+------------------------------------------------------------------+
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#include "..\NeuroNet_DNG\NeuroNet.mqh"
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//---
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#define defFQF 0x7792 ///<Neuron Net \details Identified class #CFQF
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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class CFQF : protected CNet
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{
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private:
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uint iCountBackProp;
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protected:
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uint iUpdateTarget;
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//---
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CNet cTargetNet;
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public:
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/** Constructor */
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CFQF(void);
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CFQF(CArrayObj *Description) { Create(Description); }
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bool Create(CArrayObj *Description);
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/** Destructor */~CFQF(void);
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bool feedForward(CArrayFloat *inputVals, int window = 1, bool tem = false, CBufferFloat *SecondInput=NULL) ///< Feed Forward method.@param[in] prevLayer Pointer to previos layer. @param[in] window Window of input data. @param[in] tem Use Time Embedding.
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{ return CNet::feedForward(inputVals, window, tem,SecondInput); }
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bool backProp(CBufferFloat *targetVals, float discount = 0.9f, CArrayFloat *nextState = NULL, int window = 1, bool tem = true, CBufferFloat *SecondInput=NULL, CBufferFloat *SecondGradient=NULL); ///< Back propagation method. @param[in] targetVals Target values
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bool backPropGradient(CBufferFloat *SecondInput = NULL, CBufferFloat *SecondGradient = NULL, int LastLayer = -1)
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{ return CNet::backPropGradient(SecondInput,SecondGradient,LastLayer); } ///< Back propagation method for GPU calculation. @param[in] targetVals Target values
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void getResults(CBufferFloat *&resultVals); ///< Method to get results of feed forward process.@param[out] resultVals Array of result values
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void getResults(vector<float> &resultVals); ///< Method to get results of feed forward process.@param[out] resultVals Array of result values
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int getAction(void); ///< Method to get results of feed forward process.@param[out] resultVals Array of result values
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int getSample(void);
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float getRecentAverageError() { return recentAverageError; } ///< Method to check quality of study. @return Average error
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bool Save(string file_name, datetime time, bool common = true)
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{ return CNet::Save(file_name, getRecentAverageError(), (float)iUpdateTarget, 0, time, common); }
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///< Save method. @param[in] file_name File name to save @param[in] error Average error @param[in] undefine Undefined percent @param[in] Foecast percent @param[in] time Last study time @param[in] common Common flag
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virtual bool Save(const int file_handle);
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virtual bool Load(string file_name, datetime &time, bool common = true);
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///< Load method. @param[in] file_name File name to save @param[out] error Average error @param[out] undefine Undefined percent @param[out] Foecast percent @param[out] time Last study time @param[in] common Common flag
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virtual bool Load(const int file_handle);
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//---
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virtual int Type(void) const { return defFQF; }///< Identificator of class.@return Type of class
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virtual bool TrainMode(bool flag) { return CNet::TrainMode(flag); } ///< Set Training Mode Flag
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virtual bool GetLayerOutput(uint layer, CBufferFloat *&result) ///< Retutn Output data of layer. @param[in] layer Number of layer @param[out] return Buffer with data
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{ return CNet::GetLayerOutput(layer, result); }
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//---
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virtual void SetUpdateTarget(uint batch) { iUpdateTarget = batch; }
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virtual bool UpdateTarget(string file_name);
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virtual bool WeightsUpdate(CFQF *net, float tau) { return CNet::WeightsUpdate((CNet*) net, tau); }
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//---
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virtual void SetOpenCL(COpenCLMy *obj);
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virtual COpenCLMy* GetOpenCL(void) { return opencl; }
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//--- Soft Actor-Critic
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virtual bool GetLogProbs(vector<float> &log_probs) { return CNet::GetLogProbs(log_probs); }
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virtual bool AlphasGradient(CNet *PolicyNet) { return CNet::AlphasGradient(PolicyNet);}
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virtual bool CalcLogProbs(CBufferFloat *buffer) { return CNet::CalcLogProbs(buffer); }
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//---
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virtual bool Clear(void) { return CNet::Clear(); }
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};
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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CFQF::CFQF(void) : iUpdateTarget(1000)
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{
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cTargetNet.Create(NULL);
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Create(NULL);
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cTargetNet.SetOpenCL(opencl);
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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CFQF::~CFQF()
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{
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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bool CFQF::Create(CArrayObj *Description)
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{
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if(!CNet::Create(Description))
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return false;
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cTargetNet.Create(NULL);
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cTargetNet.SetOpenCL(opencl);
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//---
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return true;
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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bool CFQF::backProp(CBufferFloat *targetVals, float discount = 0.9f, CArrayFloat *nextState = NULL, int window = 1, bool tem = true, CBufferFloat *SecondInput=NULL, CBufferFloat *SecondGradient=NULL)
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{
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//---
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if(!targetVals)
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return false;
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//---
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if(cTargetNet.GetOpenCL()!=opencl)
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cTargetNet.SetOpenCL(opencl);
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if(!!nextState && discount!=0.0f)
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{
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vectorf target;
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if(!targetVals.GetData(target) || target.Size() <= 0)
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return false;
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if(!cTargetNet.feedForward((CArrayFloat*)nextState, window, tem,(CArrayFloat*)NULL))
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return false;
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cTargetNet.getResults(targetVals);
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if(!targetVals)
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return false;
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target = target + discount * targetVals.Maximum();
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if(!targetVals.AssignArray(target))
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return false;
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}
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//---
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if(iCountBackProp >= iUpdateTarget)
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{
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#ifdef FileName
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if(UpdateTarget(FileName + ".nnw"))
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#else
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if(UpdateTarget("FQF.upd"))
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#endif
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iCountBackProp = 0;
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}
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else
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iCountBackProp++;
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//---
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return CNet::backProp(targetVals,SecondInput,SecondGradient);
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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void CFQF::getResults(CBufferFloat *&resultVals)
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{
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CNet::getResults(resultVals);
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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void CFQF::getResults(vector<float> &resultVals)
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{
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CNet::getResults(resultVals);
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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int CFQF::getAction(void)
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{
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vector<float> temp;
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CNet::getResults(temp);
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//---
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return (int)temp.ArgMax();
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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int CFQF::getSample(void)
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{
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CBufferFloat* resultVals;
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CNet::getResults(resultVals);
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if(!resultVals)
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return -1;
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vectorf temp;
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if(!resultVals.GetData(temp))
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{
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delete resultVals;
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return -1;
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}
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delete resultVals;
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//---
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temp = temp / temp.Max();
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if(!temp.Activation(temp, AF_SOFTMAX))
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return -1;
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temp = temp.CumSum();
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int err_code;
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float random = (float)MathRandomNormal(0.5, 0.5, err_code);
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if(random >= 1)
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random = temp.Max();
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for(int i = 0; i < (int)temp.Size(); i++)
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if(random <= temp[i] && temp[i] > 0)
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return i;
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//---
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return -1;
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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bool CFQF::UpdateTarget(string file_name)
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{
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if(!Save(file_name, 0, false))
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return false;
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float error, undefine, forecast;
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datetime time;
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if(!cTargetNet.Load(file_name, error, undefine, forecast, time, false))
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return false;
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iCountBackProp = 0;
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if(cTargetNet.GetOpenCL()!=opencl)
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cTargetNet.SetOpenCL(opencl);
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//---
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return true;
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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bool CFQF::Save(const int file_handle)
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{
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if(!CNet::Save(file_handle))
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return false;
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if(FileWriteInteger(file_handle, (int)iUpdateTarget) < INT_VALUE)
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return false;
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//---
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return true;
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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bool CFQF::Load(const int file_handle)
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{
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if(!CNet::Load(file_handle))
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return false;
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if(FileIsEnding(file_handle))
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return true;
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iUpdateTarget = (uint)FileReadInteger(file_handle);
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if(!UpdateTarget("FQF.upd"))
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return false;
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iCountBackProp = 0;
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if(cTargetNet.GetOpenCL()!=opencl)
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cTargetNet.SetOpenCL(opencl);
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//---
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return true;
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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bool CFQF::Load(string file_name, datetime &time, bool common = true)
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{
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float undefine, forecast;
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if(!CNet::Load(file_name, recentAverageError, undefine, forecast, time, common) ||
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!cTargetNet.Load(file_name, recentAverageError, undefine, forecast, time, common))
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return false;
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iUpdateTarget = (uint)undefine;
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if(cTargetNet.GetOpenCL()!=opencl)
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cTargetNet.SetOpenCL(opencl);
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//---
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return true;
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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void CFQF::SetOpenCL(COpenCLMy *obj)
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{
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CNet::SetOpenCL(obj);
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cTargetNet.SetOpenCL(obj);
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}
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//+------------------------------------------------------------------+
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