def trainModel(self,
allTrainData,
searchRange=[1, 300],
budget=25000 * 1000):
"""
Train the constant model.
A best bid price will be returned
Budget should be in chinese fen * 1000
:param allTrainData: Training data in matrix
:param searchRange: Search Grid in array for best bid price. [lowerbound, upperbound]
:param budget: The budget to use. chinese fen * 1000
:return: The best constant bid price that obtained the highest CTR
"""
# goldlabel = np.copy(allTrainData)
# goldlabel = np.delete(goldlabel, [0, 21, 22], axis=1)# remove 'click','bidprice','payprice'
bestBid = 0
bestCTR = 0
bestClick = 0
# print(goldlabel.shape)
for bid in range(searchRange[0], searchRange[1]):
# for bid in range(1000, 1001): # To test cutting back budget
self.defaultBid = bid
# start_time = time.time()
bids = self.getBidPrice(allTrainData.bidid)
# print('Metrics np.apply_along_axis time: {} seconds'.format(round(time.time() - start_time, 2)))
# myEvaluator = Evaluator(budget, bids, allTrainData)
myEvaluator = Evaluator()
resultDict = myEvaluator.computePerformanceMetricsDF(
budget, bids, allTrainData)
# if resultDict['won'] != 0:
# print("Constant bid: {} CTR: {}".format(self.defaultBid, resultDict['click'] / resultDict['won']))
# else:
# print("Constant bid: {} CTR: not computed as no. of won is 0".format(self.defaultBid))
# if resultDict['won'] != 0:
# currentCTR = resultDict['click'] / resultDict['won']
# else:
# continue
# if currentCTR > bestCTR:
# bestCTR = currentCTR
# bestBid = bid
if resultDict['won'] != 0:
print("Constant bid: {} Clicks: {}".format(
self.defaultBid, resultDict['click']))
print("bestBid: ", bestBid)
print("bestClick: ", bestClick)
else:
print("Constant bid: {} CTR: not computed as no. of won is 0".
format(self.defaultBid))
if resultDict['won'] != 0:
currentClick = resultDict['click']
else:
continue
if currentClick > bestClick:
bestClick = currentClick
bestBid = bid
# print("bestBid: ", bestBid)
# print("bestCTR: ", bestCTR)
print("bestBid: ", bestBid)
print("bestClick: ", bestClick)
self.defaultBid = bestBid
return self.defaultBid
