Category: Programming
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Equivalent of Numpy’s Clip function in R
Numpy’s clip function is a handy function that brings all data in a series into a range. For example, in machine learning, it is common to have activation functions that take a continuous range of values and bring them to a range like 0 to 1, or -1 to 1. In my case, I was […]
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Files and Pipes in R Video Demo
I’ve worked with various alternate file handlers in python before and wanted to explore the options in R. I was pleasantly surprised to find handlers prebuilt for tasks like compressing data. In addition, a pipe function is available to allow you to use less common commands on your file, like gpg for encryption. I put […]
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Installing pymc on OS X using homebrew
I’ve been working through the following book on Bayesian methods with an emphasis on the pymc library: However, pymc installation on OS X can be a bit of a pain. The issues comes down to fortran… I know. The version of gfortran in newer gcc implementations doesn’t work well with the pymc build, you need […]
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Installing TensorFlow on CentOS
Google released TensorFlow as open source for community use and improvement. From the site: “TensorFlow™ is an open source software library for numerical computation using data flow graphs.” The instructions on tensorflow.org are aimed at Ubuntu and OS X. I had a need to install it on CentOS so I documented the steps in a […]
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Running a Local ElasticSearch Cluster for Development
ElasticSearch is a document database built on Lucene, a full text-search engine. It clusters and is useful in a variety of scenarios. If you want to run it locally and test some of the clustering feature, here are some things I learned from my experience. Install with your preferred package manager, or from source. In […]