Python _influence_plot示例

示例#1

文件： outliers_influence.py 项目： ChadFulton/statsmodels

    def plot_influence(self, external=None, alpha=.05, criterion="cooks",
                       size=48, plot_alpha=.75, ax=None, **kwargs):

        if external is None:
            external = hasattr(self, '_cache') and 'res_looo' in self._cache
        from statsmodels.graphics.regressionplots import _influence_plot
        res = _influence_plot(self.results, self, external=external, alpha=alpha,
                              criterion=criterion, size=size,
                              plot_alpha=plot_alpha, ax=ax, **kwargs)
        return res

示例#2

文件： outliers_influence.py 项目： GonzaloUlla/Bankruptcy-Prediction-using-Machine-Learning-Algorithms-in-Python

    def plot_influence(self, external=None, alpha=.05, criterion="cooks",
                       size=48, plot_alpha=.75, ax=None, **kwargs):

        if external is None:
            external = hasattr(self, '_cache') and 'res_looo' in self._cache
        from statsmodels.graphics.regressionplots import _influence_plot
        res = _influence_plot(self.results, self, external=external,
                              alpha=alpha,
                              criterion=criterion, size=size,
                              plot_alpha=plot_alpha, ax=ax, **kwargs)
        return res