Пример #1
0
 def next(self):
     results = self.results
     self.weights = self.M.weights((results.Y - results.predict) / N.sqrt(results.scale))
     self.initialize(self.design)
     results = wls_model.fit(self, results.Y)
     self.scale = results.scale = self.estimate_scale(results)
     self.iter += 1
     return results
Пример #2
0
    def fit(self, Y):

        iter(self)
        self.results = wls_model.fit(self, Y)
        self.scale = self.results.scale = self.estimate_scale(self.results)

        while self.cont(self.results):
            self.results = self.next()

        return self.results