예제 #1
0
	def one_param_fit(self,param):
		log_estimate = np.zeros(len(self.views)).tolist()
		
		log_estimate[self.pattern.start:self.pattern.start+self.pattern.length*24] = [log(self.red_views[self.pattern.start])+param*x for x in range(self.pattern.length*24)]

		error = calc_difference(self.red_views,log_estimate)
		return error
예제 #2
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	def two_param_fit(self,params):
		log_estimate = np.zeros(len(self.views)).tolist()

		# log_estimate[:self.pattern.length*24] = [log(self.red_views[self.pattern.start])+params[0]*x for x in range(self.pattern.length*24)]
		log_estimate[self.pattern.start:self.pattern.length*24] = [log(self.red_views[self.pattern.start])+params[0]*x for x in range(self.pattern.length*24)]
		log_estimate[self.pattern.length*24:self.max_length] = [log(self.red_views[self.pattern.start])+params[1]+params[0]*(x-1) for x in range(self.pattern.length*24,self.max_length)]

		error = calc_difference(self.red_views,log_estimate)
		return error
예제 #3
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	def beta_fit(self,param):
		error = 0
		for art in self.articles:
			max_length = len(art.views)
			log_estimate = zeros(max_length).tolist()
			log_estimate[self.pattern.start:self.pattern.start+self.pattern.length*24] = [log(art.red_views[self.pattern.start])+param*x for x in range(self.pattern.length*24)]

			error += calc_difference(art.red_views,log_estimate)

		return error
예제 #4
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	def beta_gamma_fit(self,params):
		error = 0
		for art in self.articles:
			max_length = len(art.views)
			log_estimate = zeros(max_length).tolist()
			# log_estimate[:self.pattern.length*24] = [log(art.red_views[self.pattern.start])+params[0]*x for x in range(self.pattern.length*24)]
			log_estimate[self.pattern.start:self.pattern.length*24] = [log(art.red_views[self.pattern.start])+params[0]*x for x in range(self.pattern.length*24)]
			log_estimate[self.pattern.length*24:max_length] = [log(art.red_views[self.pattern.start])+params[1]+params[0]*(x-1) for x in range(self.pattern.length*24,max_length)]

			error += calc_difference(art.red_views,log_estimate)

		return error