sample

I have a dataframe of names. And I have a vector of different food items. I want to pick one element from that vector randomly for each Name so that the data.table looks like below. x<- c("apple","pepsi","rice","coke","banana","butter","bread") library(data.table) dt <- fread(' Name NextItem John rice Logan butter Sarah bread Vinny rice ') I want the sampling with replacement. I have tried dt[,NextItem:= sample(x,1)] but it samples the same food item(vector element) for everyone, not different random elements like aforementioned example. We can use group by option and then do sample dt[,

Web page should show one product image for specific product category from PostgreSql database. This image should changed automatically to other image after every 25 seconds. Returned product may be random or in some sequence. Some product may be missing and some repeated but most of the products in criteria should returned. Total available image count may change slightly between sample retrieval Currently code below is used which is executed after every 25 seconds. This requires two queries to database: one for count which may be slwo and second for single image retrieval. In both cases where

I'm in my OPENCV_ROOT folder and running the following command in Win-x64: opencv_createsamples -bgcolor 0 -bgthresh 0 -maxxangle 1.1 -maxyangle 1.1 maxzangle 0.5 -maxidev 40 -w 80 -h 40 -img ABSOLUTE_PATH_TO_POSITIVE_IMAGES_FOLDER\car.jpg -bg ABSOLUTE_PATH_TO_PROJECT\negatives.txt -vec ABSOLUTE_PATH_TO_SAMPLES_FOLDER\car.jpg.vec -num 125 My negatives.txt looks like this: negative_images\city01_02.jpg negative_images\city01_04.jpg negative_images\city01_05.jpg negative_images\city01_06.jpg negative_images\city01_07.jpg This is my output: Info file name: (NULL) Img file name: ABSOLUTE_PATH_TO

On the Ballerina Quick Tour page, there is an example on deploying a previously created integration microservice (which is supposed to send a Tweet) within in a docker container. However, that part of the documentation doesn't describe how to package the "twitter.toml" (authentication details) within the container. Therefore, it doesn't work as it does when it wasn't deployed within a container. How can this be resolved? The piece on copying the config file is missing there. Try adding the @docker:CopyFiles annotation as well. The following worked for me: @docker:Config { registry:"registry

As you might know random.sample(population,sample_size) quickly returns a random sample, but what if you don't know in advance the size of the sample? You end up in sampling the entire population, or shuffling it, which is the same. But this can be wasteful (if the majority of sample sizes come up to be small compared to population size) or even unfeasible (if population size is huge, running out of memory). Also, what if your code needs to jump from here to there before picking the next element of the sample? P.S. I bumped into the need of optimizing random sample while working on simulated