def getParameters(cls):
selectorIDs: List[str] = BatchDefMLFuzzyDHondt().getSelectorParameters(
).keys()
negativeImplFeedback: List[
str] = cls.getNegativeImplFeedbackParameters().keys()
aDict: Dict[str, object] = {}
for selectorIDH in selectorIDs:
for nImplFeedbackI in negativeImplFeedback:
for lrClickJ in cls.lrClicks:
for lrViewDivisorK in cls.lrViewDivisors:
keyIJ: str = str(selectorIDH) + "Clk" + str(
lrClickJ).replace(".", "") + "ViewDivisor" + str(
lrViewDivisorK).replace(".",
"") + nImplFeedbackI
lrViewIJK: float = lrClickJ / lrViewDivisorK
eTool: AEvalTool = EvalToolDHondt({
EvalToolDHondt.ARG_LEARNING_RATE_CLICKS:
lrClickJ,
EvalToolDHondt.ARG_LEARNING_RATE_VIEWS:
lrViewIJK
})
nImplFeedback: APenalization = cls.getNegativeImplFeedbackParameters(
)[nImplFeedbackI]
selectorH: ADHondtSelector = BatchDefMLFuzzyDHondt(
).getSelectorParameters()[selectorIDH]
aDict[keyIJ] = (selectorH, nImplFeedback, eTool)
return aDict
def getParameters(self):
batchDefMLFuzzyDHondt = BatchDefMLFuzzyDHondt()
batchDefMLFuzzyDHondt.lrClicks:List[float] = self.lrClicks
batchDefMLFuzzyDHondt.lrViewDivisors:List[float] = self.lrViewDivisors
batchDefMLFuzzyDHondt.normOfRespons:List[bool] = self.normOfRespons
batchDefMLFuzzyDHondt.selectorIDs:List[str] = self.selectorIDs
return batchDefMLFuzzyDHondt.getParameters()
def getParameters(self):
aDict: Dict[str, object] = BatchDefMLFuzzyDHondt().getAllSelectors()
aSubDict: Dict[str, object] = {
selIdI: aDict[selIdI]
for selIdI in aDict.keys() if selIdI in self.selectorIDs
}
return aSubDict
def getParameters2():
selectorIDs: List[str] = BatchDefMLFuzzyDHondt().getSelectorParameters(
).keys()
negativeImplFeedback: List[str] = BatchDefMLFuzzyDHondtINF(
).getNegativeImplFeedbackParameters().keys()
aDict: dict = {}
for selectorIDH in selectorIDs:
for nImplFeedbackI in negativeImplFeedback:
keyIJ: str = str(selectorIDH) + nImplFeedbackI
nImplFeedback: APenalization = BatchDefMLFuzzyDHondtINF(
).getNegativeImplFeedbackParameters()[nImplFeedbackI]
selectorH: ADHondtSelector = BatchDefMLFuzzyDHondt(
).getSelectorParameters()[selectorIDH]
aDict[keyIJ] = (selectorH, nImplFeedback)
return aDict
def getParameters(self):
aDict: Dict[str, object] = {}
for selectorIDI in self.selectorIDs:
for discFactorsI in self.discFactors:
keyIJ: str = str(selectorIDI) + discFactorsI
selectorIJK: ADHondtSelector = BatchDefMLFuzzyDHondt(
).getSelectorParameters()[selectorIDI]
aDict[keyIJ] = (selectorIJK, discFactorsI)
return aDict
def getParameters(self):
aDict: dict = {}
for selectorIDI in self.selectorIDs:
keyIJ: str = str(selectorIDI)
eTool: AEvalTool = EvalToolDHondtBanditVotes({})
selectorIJK: ADHondtSelector = BatchDefMLFuzzyDHondt(
).getSelectorParameters()[selectorIDI]
aDict[keyIJ] = (selectorIJK, eTool)
return aDict
def getParameters(self):
aDict: Dict[str, object] = {}
for selectorIDH in self.selectorIDs:
for nImplFeedbackI in self.negativeImplFeedback:
keyIJ: str = str(selectorIDH) + nImplFeedbackI
nImplFeedback: APenalization = BatchDefMLFuzzyDHondtThompsonSamplingINF(
).getPenalFncs()[nImplFeedbackI]
selectorH: ADHondtSelector = BatchDefMLFuzzyDHondt(
).getSelectorParameters()[selectorIDH]
aDict[keyIJ] = (selectorH, nImplFeedback)
return aDict
def getParameters(self):
aDict:Dict[str,object] = {}
for selectorIDI in self.selectorIDs:
for lrClickJ in self.lrClicks:
for lrViewDivisorK in self.lrViewDivisors:
for normOfResponsL in self.normOfRespons:
keyIJ:str = selectorIDI + "Clk" + str(lrClickJ).replace(".", "") + "ViewDivisor" + str(lrViewDivisorK).replace(".", "") + "NR" + str(normOfResponsL)
lrViewIJK:float = lrClickJ / lrViewDivisorK
eToolIJK:AEvalTool = EvalToolDHondtPersonal({
EvalToolDHondtPersonal.ARG_LEARNING_RATE_CLICKS: lrClickJ,
EvalToolDHondtPersonal.ARG_LEARNING_RATE_VIEWS: lrViewIJK,
EvalToolDHondtPersonal.ARG_NORMALIZATION_OF_RESPONSIBILITY: normOfResponsL})
selectorIJK:ADHondtSelector = BatchDefMLFuzzyDHondt().getAllSelectors()[selectorIDI]
aDict[keyIJ] = (selectorIJK, eToolIJK)
return aDict
def getParameters(self):
aDict: Dict[str, object] = {}
for selectorIDI in self.selectorIDs:
for gLrClickJ in self.mGlobalLrClicks:
for gLrViewDivisorK in self.mGlobalLrViewDivisors:
for gNormOfResponsL in self.mGlobalNormOfRespons:
for pLrClickM in self.mPersonLrClicks:
for pLrViewDivisorN in self.mPersonLrViewDivisors:
for pLrViewDivisorO in self.mPersonNormOfRespons:
gjk: str = "Clk" + str(gLrClickJ).replace(
".", "") + "ViewDivisor" + str(
gLrViewDivisorK).replace(
".", "") + "NR" + str(
gNormOfResponsL)
pjk: str = "Clk" + str(pLrClickM).replace(
".", "") + "ViewDivisor" + str(
pLrViewDivisorN).replace(
".", "") + "NR" + str(
pLrViewDivisorO)
keyIJ: str = selectorIDI + gjk + pjk
lrViewJK: float = gLrClickJ / gLrViewDivisorK
lrViewLM: float = pLrClickM / pLrViewDivisorN
evalToolMGlobal: EvalToolDHondt = EvalToolDHondt({
EvalToolDHondt.ARG_LEARNING_RATE_CLICKS:
gLrClickJ,
EvalToolDHondt.ARG_LEARNING_RATE_VIEWS:
lrViewJK,
EvalToolDHondt.ARG_NORMALIZATION_OF_RESPONSIBILITY:
gNormOfResponsL
})
evalToolMPerson: EvalToolDHondt = EvalToolDHondtPersonal({
EvalToolDHondtPersonal.ARG_LEARNING_RATE_CLICKS:
pLrClickM,
EvalToolDHondtPersonal.ARG_LEARNING_RATE_VIEWS:
lrViewLM,
EvalToolDHondtPersonal.ARG_NORMALIZATION_OF_RESPONSIBILITY:
pLrViewDivisorO
})
eToolIJK: AEvalTool = EToolHybrid(
evalToolMGlobal, evalToolMPerson, {})
selectorIJK: ADHondtSelector = BatchDefMLFuzzyDHondt(
).getSelectorParameters()[selectorIDI]
aDict[keyIJ] = (selectorIJK, eToolIJK)
return aDict
def getParameters(self):
negativeImplFeedbackDict: Dict[
str,
object] = BatchDefMLFuzzyDHondtINF.getNegativeImplFeedbackParameters(
)
selectorDict: Dict[
str, object] = BatchDefMLFuzzyDHondt().getSelectorParameters()
aDict: Dict[str, object] = {}
for selectorIdI in selectorDict.keys():
for nImplFeedbackIdJ in negativeImplFeedbackDict.keys():
selectorI = selectorDict[selectorIdI]
negativeImplFeedbackJ = negativeImplFeedbackDict[
nImplFeedbackIdJ]
keyIJ: str = str(selectorIdI) + nImplFeedbackIdJ
aDict[keyIJ] = (selectorI, negativeImplFeedbackJ)
return aDict
def getParameters(self):
batchDefMLFuzzyDHondt = BatchDefMLFuzzyDHondt()
batchDefMLFuzzyDHondt.selectorIDs = self.selectorIDs
return batchDefMLFuzzyDHondt.getSelectorParameters()
def getBatchesUSA():
print("Get USA Batches")
# dataset ML
batchDefMLFuzzyDHondt = BatchDefMLFuzzyDHondt()
batchDefMLFuzzyDHondt.lrClicks:List[float] = [0.03]
batchDefMLFuzzyDHondt.lrViewDivisors:List[float] = [250]
batchDefMLFuzzyDHondt.selectorIDs:List[str] = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefMLPersonalFuzzyDHondt = BatchDefMLPersonalFuzzyDHondt()
batchDefMLPersonalFuzzyDHondt.lrClicks: List[float] = [0.2]
batchDefMLPersonalFuzzyDHondt.lrViewDivisors:List[float] = [1000]
batchDefMLPersonalFuzzyDHondt.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefMLPersonalStatFuzzyDHondt = BatchDefMLPersonalStatFuzzyDHondt()
batchDefMLPersonalStatFuzzyDHondt.lrClicks: List[float] = [0.2]
batchDefMLPersonalStatFuzzyDHondt.lrViewDivisors:List[float] = [1000]
batchDefMLPersonalStatFuzzyDHondt.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefMLHybrid = BatchDefMLHybrid()
batchDefMLHybrid.mGlobalLrClicks:List[float] = [0.03]
batchDefMLHybrid.mGlobalLrViewDivisors:List[float] = [250]
batchDefMLHybrid.mGlobalNormOfRespons:List[bool] = [True, False]
batchDefMLHybrid.mPersonLrClicks: List[float] = [0.03]
batchDefMLHybrid.mPersonLrViewDivisors: List[float] = [250]
batchDefMLHybrid.mPersonNormOfRespons:List[bool] = [True, False]
batchDefMLHybrid.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefMLHybridSkip = BatchDefMLHybridSkip()
batchDefMLHybridSkip.mGlobalLrClicks:List[float] = [0.03]
batchDefMLHybridSkip.mGlobalLrViewDivisors:List[float] = [250]
batchDefMLHybridSkip.mGlobalNormOfRespons:List[bool] = [True, False]
batchDefMLHybridSkip.mPersonLrClicks: List[float] = [0.03]
batchDefMLHybridSkip.mPersonLrViewDivisors: List[float] = [250]
batchDefMLHybridSkip.mPersonNormOfRespons:List[bool] = [True, False]
batchDefMLHybridSkip.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchesDefML:List[ABatchDefinition] = []
batchesDefML.append(batchDefMLFuzzyDHondt)
batchesDefML.append(batchDefMLPersonalFuzzyDHondt)
batchesDefML.append(batchDefMLPersonalStatFuzzyDHondt)
batchesDefML.append(batchDefMLHybrid)
batchesDefML.append(batchDefMLHybridSkip)
# dataset RR
batchDefRRFuzzyDHondt = BatchDefRRFuzzyDHondt()
batchDefRRFuzzyDHondt.lrClicks:List[float] = [0.03]
batchDefRRFuzzyDHondt.lrViewDivisors:List[float] = [250]
batchDefRRFuzzyDHondt.selectorIDs:List[str] = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefRRPersonalFuzzyDHondt = BatchDefRRPersonalFuzzyDHondt()
batchDefRRPersonalFuzzyDHondt.lrClicks: List[float] = [0.2]
batchDefRRPersonalFuzzyDHondt.lrViewDivisors:List[float] = [1000]
batchDefRRPersonalFuzzyDHondt.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefRRPersonalStatFuzzyDHondt = BatchDefRRPersonalStatFuzzyDHondt()
batchDefRRPersonalStatFuzzyDHondt.lrClicks: List[float] = [0.03]
batchDefRRPersonalStatFuzzyDHondt.lrViewDivisors:List[float] = [250]
batchDefRRPersonalStatFuzzyDHondt.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
#batchDefRRDynamic = BatchDefRRDynamic()
#batchDefRRDynamic.lrClicks: List[float] = [0.03]
#batchDefRRDynamic.lrViewDivisors:List[float] = [250]
#batchDefRRDynamic.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefRRHybrid = BatchDefRRHybrid()
batchDefRRHybrid.mGlobalLrClicks:List[float] = [0.03]
batchDefRRHybrid.mGlobalLrViewDivisors:List[float] = [250]
batchDefRRHybrid.mGlobalNormOfRespons:List[bool] = [True, False]
batchDefRRHybrid.mPersonLrClicks: List[float] = [0.03]
batchDefRRHybrid.mPersonLrViewDivisors: List[float] = [250]
batchDefRRHybrid.mPersonNormOfRespons:List[bool] = [True, False]
batchDefRRHybrid.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefRRHybridSkip = BatchDefRRHybridSkip()
batchDefRRHybridSkip.mGlobalLrClicks:List[float] = [0.03]
batchDefRRHybridSkip.mGlobalLrViewDivisors:List[float] = [250]
batchDefRRHybridSkip.mGlobalNormOfRespons:List[bool] = [True, False]
batchDefRRHybridSkip.mPersonLrClicks: List[float] = [0.03]
batchDefRRHybridSkip.mPersonLrViewDivisors: List[float] = [250]
batchDefRRHybridSkip.mPersonNormOfRespons:List[bool] = [True, False]
batchDefRRHybridSkip.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchesDefRR:List[ABatchDefinition] = []
batchesDefRR.append(batchDefRRFuzzyDHondt)
batchesDefRR.append(batchDefRRPersonalFuzzyDHondt)
batchesDefRR.append(batchDefRRPersonalStatFuzzyDHondt)
#batchesDefRR.append(batchDefRRDynamic)
batchesDefRR.append(batchDefRRHybrid)
batchesDefRR.append(batchDefRRHybridSkip)
# dataset ST
batchDefSTFuzzyDHondt = BatchDefSTFuzzyDHondt()
batchDefSTFuzzyDHondt.lrClicks:List[float] = [0.03]
batchDefSTFuzzyDHondt.lrViewDivisors:List[float] = [250]
batchDefSTFuzzyDHondt.selectorIDs:List[str] = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefSTPersonalFuzzyDHondt = BatchDefSTPersonalFuzzyDHondt()
batchDefSTPersonalFuzzyDHondt.lrClicks: List[float] = [0.2]
batchDefSTPersonalFuzzyDHondt.lrViewDivisors:List[float] = [1000]
batchDefSTPersonalFuzzyDHondt.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefSTPersonalStatFuzzyDHondt = BatchDefSTPersonalStatFuzzyDHondt()
batchDefSTPersonalStatFuzzyDHondt.lrClicks: List[float] = [0.2]
batchDefSTPersonalStatFuzzyDHondt.lrViewDivisors:List[float] = [1000]
batchDefSTPersonalStatFuzzyDHondt.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefSTHybrid = BatchDefSTHybrid()
batchDefSTHybrid.mGlobalLrClicks:List[float] = [0.03]
batchDefSTHybrid.mGlobalLrViewDivisors:List[float] = [250]
batchDefSTHybrid.mGlobalNormOfRespons:List[bool] = [True, False]
batchDefSTHybrid.mPersonLrClicks: List[float] = [0.03]
batchDefSTHybrid.mPersonLrViewDivisors: List[float] = [250]
batchDefSTHybrid.mPersonNormOfRespons:List[bool] = [True, False]
batchDefSTHybrid.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefSTHybridSkip = BatchDefSTHybridSkip()
batchDefSTHybridSkip.mGlobalLrClicks:List[float] = [0.03]
batchDefSTHybridSkip.mGlobalLrViewDivisors:List[float] = [250]
batchDefSTHybridSkip.mGlobalNormOfRespons:List[bool] = [True, False]
batchDefSTHybridSkip.mPersonLrClicks: List[float] = [0.03]
batchDefSTHybridSkip.mPersonLrViewDivisors: List[float] = [250]
batchDefSTHybridSkip.mPersonNormOfRespons:List[bool] = [True, False]
batchDefSTHybridSkip.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefSTHybridStat = BatchDefSTHybridStat()
batchDefSTHybridStat.mGlobalLrClicks:List[float] = [0.03]
batchDefSTHybridStat.mGlobalLrViewDivisors:List[float] = [250]
batchDefSTHybridStat.mGlobalNormOfRespons:List[bool] = [True, False]
batchDefSTHybridStat.mPersonLrClicks: List[float] = [0.03]
batchDefSTHybridStat.mPersonLrViewDivisors: List[float] = [250]
batchDefSTHybridStat.mPersonNormOfRespons:List[bool] = [True, False]
batchDefSTHybridStat.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefSTHybridStatSkip = BatchDefSTHybridStatSkip()
batchDefSTHybridStatSkip.mGlobalLrClicks:List[float] = [0.03]
batchDefSTHybridStatSkip.mGlobalLrViewDivisors:List[float] = [250]
batchDefSTHybridStatSkip.mGlobalNormOfRespons:List[bool] = [True, False]
batchDefSTHybridStatSkip.mPersonLrClicks: List[float] = [0.03]
batchDefSTHybridStatSkip.mPersonLrViewDivisors: List[float] = [250]
batchDefSTHybridStatSkip.mPersonNormOfRespons:List[bool] = [True, False]
batchDefSTHybridStatSkip.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchesDefST:List[ABatchDefinition] = []
batchesDefST.append(batchDefSTFuzzyDHondt)
batchesDefST.append(batchDefSTPersonalFuzzyDHondt)
batchesDefST.append(batchDefSTPersonalStatFuzzyDHondt)
batchesDefST.append(batchDefSTHybrid)
batchesDefST.append(batchDefSTHybridSkip)
batchesDefST.append(batchDefSTHybridStat)
batchesDefST.append(batchDefSTHybridStatSkip)
return batchesDefML + batchesDefRR + batchesDefST
def getBatchesJournal():
print("Get Journal Batches")
jobIdML01:str = "FixedReduceOLin07500HLin07500"
jobIdML02:str = "FixedReduceOLin10075HLin0500"
jobIdML03:str = "FixedReduceOLin1000HLin1005"
jobIdML04:str = "FixedReduceOLin1005HLin1005"
jobIdML05:str = "FixedReduceProbOLin07500HLin07500"
jobIdML06:str = "FixedReduceProbOLin075025HLin05025"
jobIdML07:str = "FixedReduceProbOLin1000HLin1005"
jobIdML08:str = "FixedReduceProbOLin1005HLin1005"
jobIdST01:str = "FixedReduceOLin07500HLin05025"
jobIdST02:str = "FixedReduceOLin0500HLin1005"
jobIdST03:str = "FixedReduceOLin1000HLin1005"
jobIdST04:str = "FixedReduceOLin1005HLin1005"
jobIdST05:str = "FixedReduceProbOLin07500HLin07500"
jobIdST06:str = "FixedReduceProbOLin07500HLin075025"
jobIdST07:str = "FixedReduceProbOLin1000HLin1005"
jobIdST08:str = "FixedReduceProbOLin1005HLin1005"
batchesDef:List[ABatchDefinition] = []
# ML #############################################################################
batchDefMLSingle = BatchDefMLSingle()
#
batchDefMLBanditTS = BatchDefMLBanditTS()
batchDefMLBanditTS.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
#
batchDefMLWeightedAVG = BatchDefMLWeightedAVG()
batchDefMLWeightedAVG.lrClicks:List[float] = [0.03]
batchDefMLWeightedAVG.lrViewDivisors:List[float] = [250]
#
batchDefMLWeightedAVGMMR = BatchDefMLWeightedAVGMMR()
batchDefMLWeightedAVGMMR.lrClicks:List[float] = [0.03]
batchDefMLWeightedAVGMMR.lrViewDivisors:List[float] = [250]
batchDefMLFAI = BatchDefMLFAI()
#
batchDefMLRandomRecsSwitching = BatchDefMLRandomRecsSwitching()
#
batchDefMLRandomKfromN = BatchDefMLRandomKfromN()
#
batchDefMLFuzzyDHondt = BatchDefMLFuzzyDHondt()
batchDefMLFuzzyDHondt.lrClicks:List[float] = [0.03]
batchDefMLFuzzyDHondt.lrViewDivisors:List[float] = [250]
batchDefMLFuzzyDHondt.selectorIDs:List[str] = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
#
batchDefMLFuzzyDHondtThompsonSampling = BatchDefMLFuzzyDHondtThompsonSampling()
batchDefMLFuzzyDHondtThompsonSampling.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
#
batchDefMLContextDHondt = BatchDefMLContextDHondt()
batchDefMLContextDHondt.selectorIDs:List[str] = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
#
batchDefMLFuzzyDHondtDirectOptimize = BatchDefMLFuzzyDHondtDirectOptimize()
batchDefMLFuzzyDHondtDirectOptimize.lrClicks:List[float] = [0.03]
batchDefMLFuzzyDHondtDirectOptimize.lrViewDivisors:List[float] = [250]
batchDefMLFuzzyDHondtDirectOptimize.selectorIds = [
BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_FIXED, BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_ROULETTE1,
BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_ROULETTE2, BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_ROULETTE3,
BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_ROULETTE4, BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_ROULETTE5]
#
batchDefMLFuzzyDHondtDirectOptimizeThompsonSampling = BatchDefMLFuzzyDHondtDirectOptimizeThompsonSampling()
batchDefMLFuzzyDHondtDirectOptimizeThompsonSampling.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
#
batchDefMLFuzzyDHondtDirectOptimizeThompsonSamplingMMR = BatchDefMLFuzzyDHondtDirectOptimizeThompsonSamplingMMR()
batchDefMLFuzzyDHondtDirectOptimizeThompsonSamplingMMR.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
#
batchDefMLContextFuzzyDHondtDirectOptimize = BatchDefMLContextFuzzyDHondtDirectOptimize()
#
# INF
batchDefMLFuzzyDHondtDirectOptimizeThompsonSamplingINF = BatchDefMLFuzzyDHondtDirectOptimizeThompsonSamplingINF()
batchDefMLFuzzyDHondtDirectOptimizeThompsonSamplingINF.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefMLFuzzyDHondtDirectOptimizeThompsonSamplingINF.jobIDs = [
jobIdML01, jobIdML02, jobIdML03, jobIdML04, jobIdML05, jobIdML06, jobIdML07, jobIdML08]
#
batchDefMLContextDHondtINF = BatchDefMLContextDHondtINF()
batchDefMLContextDHondtINF.jobIDs = [
jobIdML01, jobIdML02, jobIdML03, jobIdML04, jobIdML05, jobIdML06, jobIdML07, jobIdML08]
#
batchDefMLContextFuzzyDHondtDirectOptimizeINF = BatchDefMLContextFuzzyDHondtDirectOptimizeINF()
batchDefMLContextFuzzyDHondtDirectOptimizeINF.jobIDs = [
jobIdML01, jobIdML02, jobIdML03, jobIdML04, jobIdML05, jobIdML06, jobIdML07, jobIdML08]
batchDefMLFuzzyDHondtThompsonSamplingINF = BatchDefMLFuzzyDHondtThompsonSamplingINF()
batchDefMLFuzzyDHondtThompsonSamplingINF.jobIDs = [
jobIdML01, jobIdML02, jobIdML03, jobIdML04, jobIdML05, jobIdML06, jobIdML07, jobIdML08]
#
batchesDef.append(batchDefMLSingle)
batchesDef.append(batchDefMLBanditTS)
batchesDef.append(batchDefMLWeightedAVG)
batchesDef.append(batchDefMLWeightedAVGMMR)
batchesDef.append(batchDefMLWeightedAVGMMR)
batchesDef.append(batchDefMLFAI)
batchesDef.append(batchDefMLRandomRecsSwitching)
batchesDef.append(batchDefMLRandomKfromN)
batchesDef.append(batchDefMLFuzzyDHondt)
batchesDef.append(batchDefMLFuzzyDHondtThompsonSampling)
batchesDef.append(batchDefMLContextDHondt)
batchesDef.append(batchDefMLFuzzyDHondtDirectOptimize)
batchesDef.append(batchDefMLFuzzyDHondtDirectOptimizeThompsonSampling)
batchesDef.append(batchDefMLFuzzyDHondtDirectOptimizeThompsonSamplingMMR)
batchesDef.append(batchDefMLContextFuzzyDHondtDirectOptimize)
batchesDef.append(batchDefMLFuzzyDHondtDirectOptimizeThompsonSamplingINF)
batchesDef.append(batchDefMLContextDHondtINF)
batchesDef.append(batchDefMLContextFuzzyDHondtDirectOptimizeINF)
batchesDef.append(batchDefMLFuzzyDHondtThompsonSamplingINF)
# RR #############################################################################
batchDefRRSingle = BatchDefRRSingle()
batchDefRRSingleW2VHT = BatchDefRRSingleW2VHT()
batchDefRRSingleVMContextKNNHT = BatchDefRRSingleVMContextKNNHT()
batchDefRRSingleCosineCBHT = BatchDefRRSingleCosineCBHT()
#batchesDef.append(batchDefRRSingle)
#batchesDef.append(batchDefRRSingleW2VHT)
#batchesDef.append(batchDefRRSingleVMContextKNNHT)
#batchesDef.append(batchDefRRSingleCosineCBHT)
# ST #############################################################################
batchDefSTSingle = BatchDefSTSingle()
#
batchDefSTBanditTS = BatchDefSTBanditTS()
batchDefSTBanditTS.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefSTWeightedAVG = BatchDefSTWeightedAVG()
batchDefSTWeightedAVG.lrClicks:List[float] = [0.03]
batchDefSTWeightedAVG.lrViewDivisors:List[float] = [250]
batchDefSTFAI = BatchDefSTFAI()
#
batchDefSTRandomRecsSwitching = BatchDefSTRandomRecsSwitching()
batchDefSTRandomKfromN = BatchDefSTRandomKfromN()
#
batchDefSTFuzzyDHondt = BatchDefSTFuzzyDHondt()
batchDefSTFuzzyDHondt.lrClicks:List[float] = [0.03]
batchDefSTFuzzyDHondt.lrViewDivisors:List[float] = [250]
batchDefSTFuzzyDHondt.selectorIDs:List[str] = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
#
batchDefSTFuzzyDHondtThompsonSampling = BatchDefSTFuzzyDHondtThompsonSampling()
batchDefSTContextDHondt = BatchDefSTContextDHondt()
batchDefSTContextDHondt.selectorIDs:List[str] = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
#
batchDefSTContextFuzzyDHondtDirectOptimize = BatchDefSTContextFuzzyDHondtDirectOptimize()
#
batchDefSTFuzzyDHondtDirectOptimize = BatchDefSTFuzzyDHondtDirectOptimize()
batchDefSTFuzzyDHondtDirectOptimize.lrClicks:List[float] = [0.03]
batchDefSTFuzzyDHondtDirectOptimize.lrViewDivisors:List[float] = [250]
batchDefSTFuzzyDHondtDirectOptimize.selectorIDs = [
BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_FIXED, BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_ROULETTE1,
BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_ROULETTE2, BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_ROULETTE3,
BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_ROULETTE4, BatchDefMLFuzzyDHondtDirectOptimize.SLCTR_ROULETTE5]
#
batchDefSTFuzzyDHondtDirectOptimizeThompsonSampling = BatchDefSTFuzzyDHondtDirectOptimizeThompsonSampling()
batchDefSTFuzzyDHondtDirectOptimizeThompsonSampling.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
#
batchDefSTFuzzyDHondtDirectOptimizeThompsonSamplingMMR = BatchDefSTFuzzyDHondtDirectOptimizeThompsonSamplingMMR()
batchDefSTFuzzyDHondtDirectOptimizeThompsonSamplingMMR.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
#
# INF
batchDefSTFuzzyDHondtDirectOptimizeThompsonSamplingINF = BatchDefSTFuzzyDHondtDirectOptimizeThompsonSamplingINF()
batchDefSTFuzzyDHondtDirectOptimizeThompsonSamplingINF.selectorIDs = [BatchDefMLFuzzyDHondt.SLCTR_FIXED]
batchDefSTFuzzyDHondtDirectOptimizeThompsonSamplingINF.jobIDs = [
jobIdST01, jobIdST02, jobIdST03, jobIdST04, jobIdST05, jobIdST06, jobIdST07, jobIdST08]
batchDefSTContextDHondtINF = BatchDefSTContextDHondtINF()
batchDefSTContextDHondtINF.jobIDs = [
jobIdST01, jobIdST02, jobIdST03, jobIdST04, jobIdST05, jobIdST06, jobIdST07, jobIdST08]
batchDefSTContextFuzzyDHondtDirectOptimizeINF = BatchDefSTContextFuzzyDHondtDirectOptimizeINF()
batchDefSTContextFuzzyDHondtDirectOptimizeINF.jobIDs = [
jobIdST01, jobIdST02, jobIdST03, jobIdST04, jobIdST05, jobIdST06, jobIdST07, jobIdST08]
batchDefSTDFuzzyHondtThompsonSamplingINF = BatchDefSTDFuzzyHondtThompsonSamplingINF()
batchDefSTDFuzzyHondtThompsonSamplingINF.jobIDs = [
jobIdST01, jobIdST02, jobIdST03, jobIdST04, jobIdST05, jobIdST06, jobIdST07, jobIdST08]
batchesDef.append(batchDefSTSingle)
batchesDef.append(batchDefSTBanditTS)
batchesDef.append(batchDefSTWeightedAVG)
batchesDef.append(batchDefSTFAI)
batchesDef.append(batchDefSTRandomRecsSwitching)
batchesDef.append(batchDefSTRandomKfromN)
batchesDef.append(batchDefSTFuzzyDHondt)
batchesDef.append(batchDefSTFuzzyDHondtThompsonSampling)
batchesDef.append(batchDefSTContextDHondt)
batchesDef.append(batchDefSTContextFuzzyDHondtDirectOptimize)
batchesDef.append(batchDefSTFuzzyDHondtDirectOptimize)
batchesDef.append(batchDefSTFuzzyDHondtDirectOptimizeThompsonSampling)
batchesDef.append(batchDefSTFuzzyDHondtDirectOptimizeThompsonSamplingMMR)
batchesDef.append(batchDefSTFuzzyDHondtDirectOptimizeThompsonSamplingINF)
batchesDef.append(batchDefSTContextDHondtINF)
batchesDef.append(batchDefSTContextFuzzyDHondtDirectOptimizeINF)
batchesDef.append(batchDefSTDFuzzyHondtThompsonSamplingINF)
return batchesDef
def getAllBatches():
print("Get All Batches")
batchesDef:List[ABatchDefinition] = []
# ML
batchDefMLBanditTS = BatchDefMLBanditTS()
batchDefMLFuzzyDHondt = BatchDefMLFuzzyDHondt()
batchMLFuzzyDHondtINF = BatchDefMLFuzzyDHondtINF()
batchDefMLFuzzyDHondtThompsonSampling = BatchDefMLFuzzyDHondtThompsonSampling()
batchDefMLFuzzyDHondtThompsonSamplingINF = BatchDefMLFuzzyDHondtThompsonSamplingINF()
batchDefMLFuzzyDHondtDirectOptimize = BatchDefMLFuzzyDHondtDirectOptimize()
batchDefMLFuzzyDHondtDirectOptimizeINF = BatchDefMLFuzzyDHondtDirectOptimizeINF()
batchDefMLContextDHondt = BatchDefMLContextDHondt()
batchDefMLWeightedAVG = BatchDefMLWeightedAVG()
batchDefMLWeightedAVGMMR = BatchDefMLWeightedAVGMMR()
batchDefMLFAI = BatchDefMLFAI()
batchDefMLRandomRecsSwitching = BatchDefMLRandomRecsSwitching()
batchDefMLRandomKfromN = BatchDefMLRandomKfromN()
batchDefMLSingle = BatchDefMLSingle()
batchDefMLSingleINF = BatchDefMLSingleINF()
batchDefMLSingleBPRMFHT = BatchDefMLSingleBPRMFHT()
batchDefMLSingleW2VHT = BatchDefMLSingleW2VHT()
batchDefMLSingleCosineCBHT = BatchDefMLSingleCosineCBHT()
batchDefMLSingleVMContextKNNHT = BatchDefMLSingleVMContextKNNHT()
batchDefMLContextFuzzyDHondtDirectOptimize = BatchDefMLContextFuzzyDHondtDirectOptimize()
batchesDef.append(batchDefMLBanditTS)
batchesDef.append(batchDefMLFuzzyDHondt)
batchesDef.append(batchMLFuzzyDHondtINF)
batchesDef.append(batchDefMLFuzzyDHondtThompsonSampling)
batchesDef.append(batchDefMLFuzzyDHondtThompsonSamplingINF)
batchesDef.append(batchDefMLFuzzyDHondtDirectOptimize)
batchesDef.append(batchDefMLFuzzyDHondtDirectOptimizeINF)
batchesDef.append(batchDefMLContextDHondt)
batchesDef.append(batchDefMLWeightedAVG)
batchesDef.append(batchDefMLWeightedAVGMMR)
batchesDef.append(batchDefMLFAI)
batchesDef.append(batchDefMLRandomRecsSwitching)
batchesDef.append(batchDefMLRandomKfromN)
batchesDef.append(batchDefMLSingle)
batchesDef.append(batchDefMLSingleINF)
batchesDef.append(batchDefMLSingleBPRMFHT)
batchesDef.append(batchDefMLSingleW2VHT)
batchesDef.append(batchDefMLSingleCosineCBHT)
batchesDef.append(batchDefMLSingleVMContextKNNHT)
batchesDef.append(batchDefMLContextFuzzyDHondtDirectOptimize)
# RR
batchDefRRSingle = BatchDefRRSingle()
batchDefRRSingleW2VHT = BatchDefRRSingleW2VHT()
batchDefRRSingleCosineCBHT = BatchDefRRSingleCosineCBHT()
batchesDef.append(batchDefRRSingle)
batchesDef.append(batchDefRRSingleW2VHT)
batchesDef.append(batchDefRRSingleCosineCBHT)
#ST
batchDefSTContextDHondtINF = BatchDefSTContextDHondtINF()
batchDefSTContextDHondt = BatchDefSTContextDHondt()
batchDefSTFuzzyDHondtThompsonSampling = BatchDefSTFuzzyDHondtThompsonSampling()
batchDefSTDFuzzyHondtThompsonSamplingINF = BatchDefSTDFuzzyHondtThompsonSamplingINF()
batchDefSTFuzzyDHondtDirectOptimize = BatchDefSTFuzzyDHondtDirectOptimize()
batchDefSTFuzzyDHondt = BatchDefSTFuzzyDHondt()
batchDefSTFuzzyDHondtINF = BatchDefSTFuzzyDHondtINF()
batchDefSTWeightedAVG = BatchDefSTWeightedAVG()
batchDefSTFAI = BatchDefSTFAI()
batchDefSTBanditTS = BatchDefSTBanditTS()
batchDefSTRandomRecsSwitching = BatchDefSTRandomRecsSwitching()
batchDefSTRandomKfromN = BatchDefSTRandomKfromN()
batchDefSTSingle = BatchDefSTSingle()
batchDefSTSingleBPRMFHT = BatchDefSTSingleBPRMFHT()
batchDefSTSingleW2VHT = BatchDefSTSingleW2VHT()
batchDefSTSingleCosineCBHT = BatchDefSTSingleCosineCBHT()
batchDefSTSingleVMContextKNNHT = BatchDefSTSingleVMContextKNNHT()
batchDefSTContextFuzzyDHondtDirectOptimize = BatchDefSTContextFuzzyDHondtDirectOptimize()
batchesDef.append(batchDefSTContextDHondtINF)
batchesDef.append(batchDefSTContextDHondt)
batchesDef.append(batchDefSTFuzzyDHondtThompsonSampling)
batchesDef.append(batchDefSTDFuzzyHondtThompsonSamplingINF)
batchesDef.append(batchDefSTFuzzyDHondtDirectOptimize)
batchesDef.append(batchDefSTFuzzyDHondt)
batchesDef.append(batchDefSTFuzzyDHondtINF)
batchesDef.append(batchDefSTWeightedAVG)
batchesDef.append(batchDefSTFAI)
batchesDef.append(batchDefSTBanditTS)
batchesDef.append(batchDefSTRandomRecsSwitching)
batchesDef.append(batchDefSTRandomKfromN)
batchesDef.append(batchDefSTSingle)
batchesDef.append(batchDefSTSingleBPRMFHT)
batchesDef.append(batchDefSTSingleW2VHT)
batchesDef.append(batchDefSTSingleCosineCBHT)
batchesDef.append(batchDefSTSingleVMContextKNNHT)
batchesDef.append(batchDefSTContextFuzzyDHondtDirectOptimize)
return batchesDef