rank(-x)：降序
of large corporations, ranked retrieval is more appropriate: a query result is a rank list of XML elements in descending order of (estimated) relevance... A Theobald,G Weikum - International Conference on Extending Database Technology: Advances in Database Technology 被引量: 417发表: 2002年 Ra...
ntile [dplyr] – Rank a vector. object.size – Report the space allocated for an object. optim – Apply general-purpose optimization. optimize – Perform one dimensional optimization. order – Return position of each input element in ascending or descending order. outer – Apply a function to ...
首先对score从大到小排序,然后令最大score对应的sample的rank为n,第二大score对应的sample的rank为n-1,以此类推。然后计算 ,得到的就是所有样本中有多少正例样本的score大于负例样本的score,最后除以M×N。需要特别注意的地方是,在存在score相等的情况时,需要赋予相同的rank值,具体操作是把所有这些score相同的样本...
require(stats) (ii <- order(x <- c(1,1,3:1,1:4,3), y <- c(9,9:1), z <- c(2,1:9))) ## 6 5 2 1 7 4 10 8 3 9 rbind(x, y, z)[,ii] # shows the reordering (ties via 2nd & 3rd arg) ## Suppose we wanted descending order on y. ## A simple solution fo...
plyr包的特点 其基础函数有以下特点: 第一个参数df 返回df 没有数据更改in place 正是因为有这些特点,才可以使用%>%操作符,方便逻辑式编程。 载入数据 library(plyr)library(dplyr)# load packagessuppressMessages(library(dplyr))install.packages("hflights")library(hflights)# explore datadata(hflights)head(...
idx = scores.argsort(descending=True) # descending rank by score bboxes = bboxes[idx] scores = scores[idx] if len(scores) > pre_num: bboxes = bboxes[:pre_num] scores = scores[:pre_num] # non-maximum suppression, we use cuda version of nms ...
+ filter(rank(desc(rel_airtime))<10)# A tibble: 940 x 20# Groups: dest [104] year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time arr_delay carrier <int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr> ...
EN在做数据分析时，如果数据量比较大，可以考虑使用颜色对重点关注的数据进行高亮操作，显眼的颜色可以帮助我们快速了解数据和发现问题。比如一个数据表可能会有十几到几十列之多，为了更好的看清某些重要的列，我们可以对表进行如下操作——
ifcfg.nms_pre>0andscores.shape[0]>cfg.nms_pre:# sort is faster than topk# _, topk_inds = scores.topk(cfg.nms_pre)ranked_scores,rank_inds=scores.sort(descending=True)topk_inds=rank_inds[:cfg.nms_pre]scores=ranked_scores[:cfg.nms_pre]rpn_bbox_pred=rpn_bbox_pred[topk_inds,:]anchor...