Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with
or
.
Download ZIP
Browse files

Trying to get the pyes link to hyperlink.

  • Loading branch information...
commit 762ec63f3e6c8a7335678e53a0c7bacc282518c0 1 parent 44abb25
@lewchuk authored
Showing with 3 additions and 3 deletions.
  1. +3 −3 README.md
View
6 README.md
@@ -1,16 +1,16 @@
# ESTalosPull #
-This repository contains code for extracting and analysing Talos results. There are two python scripts (espull.py and simulate.py) along with some R code for producing visualizations. Also included are some samples of how to use all three pieces together. This code supports the creation of all the conclusions and visualizations in: https://wiki.mozilla.org/Metrics/Talos\_Investigation.
+This repository contains code for extracting and analysing Talos results. There are two python scripts (espull.py and simulate.py) along with some R code for producing visualizations. Also included are some samples of how to use all three pieces together. This code supports the creation of all the conclusions and visualizations in: [https://wiki.mozilla.org/Metrics/Talos_Investigation](http://code.google.com/p/python-statlib/).
## espull.py ##
-This script will query and ElasticSearch instance to extract talos test information. It requires the pyes library available: http://pypi/python.org/pypi/pyes. For usage information run:
+This script will query and ElasticSearch instance to extract talos test information. It requires the pyes library available: [http://pypi/python.org/pypi/pyes](http://pypi/python.org/pypi/pyes). For usage information run:
'python espull.py --help'
## simulate.py ##
-This script will take a set of data and generate random samples from that population. Various sample sizes are generated and statistical tests are applied to each sample. The result is information about the performance of a regime with those sample sizes. This package uses the statlib library: http://code.google.com/p/python-statlib/. For usage information run:
+This script will take a set of data and generate random samples from that population. Various sample sizes are generated and statistical tests are applied to each sample. The result is information about the performance of a regime with those sample sizes. This package uses the statlib library: [http://code.google.com/p/python-statlib/](http://code.google.com/p/python-statlib). For usage information run:
'python simulate.py --help'
Please sign in to comment.
Something went wrong with that request. Please try again.