cb8762a3100c5f67047843159185059390ee3c6c,geomstats/learning/exponential_barycenter.py,ExponentialBarycenter,fit,#ExponentialBarycenter#Any#Any#Any#,125

Before Change

            Returns self.
        
        if isinstance(self.group, Euclidean):
            mean = linear_mean(points=X, weights=weights)[0]

        // TODO(nguigs): use closed form expression for special euclidean
        //  group as before PR /릱

        else:
            mean = _default_gradient_descent(
                points=X, weights=weights, group=self.group,
                max_iter=self.max_iter,
                epsilon=self.epsilon,
                step=self.step,
                verbose=self.verbose)
        self.estimate_ = mean

        return self

After Change

            Returns self.
        
        if isinstance(self.group, Euclidean):
            mean = linear_mean(points=X, weights=weights)

        // TODO(nguigs): use closed form expression for special euclidean
        //  group as before PR /릱

        else:
            mean = _default_gradient_descent(
                points=X, weights=weights, group=self.group,
                max_iter=self.max_iter,
                epsilon=self.epsilon,
                step=self.step,
                verbose=self.verbose)
        self.estimate_ = mean

        return self

Instances