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Clash Royale CLAN TAG #URR8PPP Build tensorflow dataset iterator that produce batches with special structure As I mentioned in the title I need batches with special structure: 1111 5555 2222 Each digit represent feature-vector. So there are N=4 vectors of each classes {1,2,5} ( M=3 ) and batch size is NxM=12 . N=4 {1,2,5} M=3 NxM=12 To accomplish this task I'm using Tensorflow Dataset API and tfrecords: M N My concern is that I have hundreds (and maybe thousands in the feature) of classes and storing iterator for each class doesn't look good (from memory and performance perspective). Is there a better way? By clicking "Post Your Answer", you acknowledge that you have read our updated terms of service, privacy policy and cookie policy, and that your continued use of the website is subject to these policies.

Clash Royale CLAN TAG #URR8PPP “filename.rdata” file Exploring and Converting to CSV I'm no R-programmer (because of the problem I started learning it), I'm using Python, In a forcasting task I got a dataset signalList.rdata of a pheomenen called partial discharge. I tried some commands to load, open and view, Hardly got a glimps my_data <- get(load('C:/Users/Zack-PC/Desktop/Study/Data Sets/pdCluster/signalList.Rdata')) but, since i lack deep knowledge about R, I wanted to convert it into a csv file, or any type that I can deal with in python. or, explore it and copy-paste manually. so, i'm asking for any solution whether using R or Python or any tool to get what's in the .rdata file. This question came from our site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. 1 Answer 1 Have you managed to load the data succe...