helpers.py 文件源码

def default_dist_funcs(dist_funcs, feature_example):
        """
        Fills in default distance metrics for fingerprint analyses
        """

        for key in feature_example:
            if key in dist_funcs:
                pass
            elif type(feature_example[key]) is str:
                dist_funcs[key] = lambda a, b: int(a!=b)
            elif isinstance(feature_example[key], (int, long, float)) or all([isinstance(i, (int, long, float)) for i in feature_example[key]]):
                dist_funcs[key] = lambda a, b: np.linalg.norm(np.subtract(a,b))

        return dist_funcs