kai

Different result compared with sklearn.metric.mutual_info_score

2

Readme provides the result as 0.02, is there any normalization or what influence the result? >>> x = np.array([1,1,1,0,0]) >>> y=np.array([1,0,1,1,0]) >>> mutual_info_score(x,y) 0.013844293808390418

Since the release of Pandas version 1.5.0, the rolling function in Pandas has become significantly faster. Is there a more efficient algorithm available for implementing move_rank?

benchmark

3

Is there any benchmark between single function(time-wise func and axis-wise func) from other python library and your polars implementation? 想问下有相关性能测试吗？我试了下，和bottleneck的move_xxx的性能差比好像有点大？不知道是不是我测试的方式不对。如果方便的话，可以加一下截面和时序算子的单一性能测试对比？感谢