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We have seen a few examples of select helpers now available inpoorman. There are more, however, and the following list details each of them. Remember that these functions can be used to help usersselect()andrelocate()columns withindata.frames. starts_with(): Starts with a prefix. ends_wit...
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Welcome to my series of blog posts about my data manipulation package,{poorman}. For those of you that don’t know,{poorman}is aiming to be a replication of{dplyr}but using only{base}R, and therefore be completely dependency free. What’s nice about this series is that if you would ...
The chapter ends by speculating on what lessons might be carried into current emerging developments such as wearable devices, intelligent agents, and visualizations of big data.J.S. EdwardsSuccesses and Failures of Knowledge ManagementEdwards, J. S. (2016). Processes: Still the poor relation in ...
Our proposed approach adheres to the UDA settings, seeking to maximize the use of unlabeled data. 3. Preliminaries 3.1. Setup We consider a source domain 𝒟𝑠={(𝑥𝑠𝑖,𝑦𝑠𝑖)}𝑁𝑠𝑖=1Ds=(xis,yis)i=1Ns with 𝑁𝑠Ns annotated clean examples and a target domain ...
Tree interpreter:Saabas, Ando. Interpreting random forests.http://blog.datadive.net/interpreting-random-forests/ Citations The algorithms and visualizations used in this package came primarily out of research inSu-In Lee's labat the University of Washington, and Microsoft Research. If you use SHAP...