摘要: Converting to NIMBLE from JAGS, OpenBUGS or WinBUGS NIMBLE is a hierarchical modeling package that uses nearly the same modeling language as the popul 阅读全文
posted @ 2018-05-31 16:15 payton数据之旅 阅读(529) 评论(0) 推荐(0) 编辑
摘要: Another correlation function?! Yes, the correlation function from the psycho package. devtools::install_github("neuropsychology/psycho.R") # Install t 阅读全文
posted @ 2018-05-22 09:48 payton数据之旅 阅读(447) 评论(0) 推荐(0) 编辑
摘要: I was surprised by greta. I had assumed that the tensorflow and reticulate packages would eventually enable R developers to look beyond deep learning 阅读全文
posted @ 2018-04-24 10:22 payton数据之旅 阅读(188) 评论(0) 推荐(0) 编辑
摘要: If your primary objective is to query your data in Hadoop to browse, manipulate, and extract it into R, then you probably want to use SQL. You can wri 阅读全文
posted @ 2018-04-09 11:55 payton数据之旅 阅读(212) 评论(0) 推荐(0) 编辑
摘要: This weekend, I decided it was time: I was going to update my Python environment and get Keras and Tensorflow installed so I could start doing tutoria 阅读全文
posted @ 2017-10-17 10:12 payton数据之旅 阅读(269) 评论(0) 推荐(0) 编辑
摘要: As with many aspects of the tidyverse, its non-standard evaluation (NSE) implementation is not something entirely new, but built on top of base R. Wha 阅读全文
posted @ 2017-09-11 09:54 payton数据之旅 阅读(323) 评论(0) 推荐(0) 编辑
摘要: 最近入手一台GTX 1070的笔记本,手痒想在win10上试下GPU跑模型,所以就有了接下来的安装GPU版mxnet的坎坷历程,经过多重试验终于搞定了python和R安装mxnet,现将主要点记录如下: 本人主要参考这2篇博文: https://my.oschina.net/qinhui99/blo 阅读全文
posted @ 2017-05-27 14:32 payton数据之旅 阅读(3801) 评论(1) 推荐(3) 编辑
摘要: When working with big data with R (say, using Spark and sparklyr) we have found it very convenient to keep data handles in a neat list ordata_frame. P 阅读全文
posted @ 2017-05-27 12:23 payton数据之旅 阅读(224) 评论(0) 推荐(0) 编辑
摘要: Unsupervised learning refers to data science approaches that involve learning without a prior knowledge about the classification of sample data. In Wi 阅读全文
posted @ 2017-05-19 10:46 payton数据之旅 阅读(359) 评论(0) 推荐(0) 编辑
摘要: Recently we were building a Shiny App in which we had to load data from a very large dataframe. It was directly impacting the app initialization time, 阅读全文
posted @ 2017-04-12 09:56 payton数据之旅 阅读(379) 评论(0) 推荐(0) 编辑