Posted on Thu 09 March 2017 in TDDA • Tagged with tdda, rexpy, regular expressions
Today we are announcing some enhancements to Rexpy, the tdda tool for finding regular expressions from examples. In short, the new version often finds more precise regular expressions than was previously the case, with the only downside being a modest increase in run-time.
Background on Rexpy is available in two …
Continue readingPosted on Wed 08 March 2017 in TDDA • Tagged with tdda, errors of process, errors of interpretation
Yesterday, email subscribers to the blog, and some RSS/casual viewers, will have seen a half-finished (in fact, abandoned) post that began to try to characterize success and failure on the crowd-funding platform Kickstarter.
The post was abandoned because I didn't believe its first conclusion, but unfortunately was published by …
Continue readingPosted on Mon 20 February 2017 in TDDA • Tagged with tdda, errors of interpretation, graphs
It is a primary responsibility of analysts to present findings and data clearly, in ways to minimize the likelihood of misinterpretation. Graphs should help this, but all too often, if drawn badly (whether deliberately or through oversight) they can make misinterpretation highly likely. I want to illustrate this danger with …
Continue readingWe have written a 1-page summary of some of the core ideas in TDDA.
It is available as a PDF from stochasticsolutions.com/pdf/TDDA-One-Pager.pdf.
Continue readingPosted on Tue 31 January 2017 in TDDA • Tagged with tdda, regular expressions
We
previously
added rexpy to the Python tdda module. Rexpy is used to
find regular expressions from example strings.
One of the most common requests from Rexpy users has been for information regarding how many examples each resulting regular expression matches.
We have now added a few methods …
Continue reading