TOKEN=$(anaconda auth --create --name download-token)
To install this package run one of the following:pip install -i https://pypi.anaconda.org/t/$TOKEN/ioam/simple lancet
anaconda login
To install this package run one of the following:conda install ioam::lancet
Launch jobs, organize the output, and dissect the results.
More information about Lancet may be found on Lancet's website. Here you may find a quickstart example, user documentation, tutorials as well as more information about publications involving Lancet.
To obtain Lancet from GitHub:
git clone git://github.com/ioam/lancet.git
In common with many projects on IOAM, Lancet
uses param, so make sure to install it
with pip install param
.
Lancet is designed to help you organize the output of your research tools, store it, and dissect the data you have collected. The output of a single simulation or analysis rarely contains all the data you need; Lancet helps you generate data from many runs and analyse it using your own Python code.
Parameter spaces often need to be explored for the purpose of plotting, tuning, or analysis. Lancet helps you extract the information you care about from potentially enormous volumes of data generated by such parameter exploration.
The following people have contributed to Lancet's design and implementation:
Jean-Luc Stevens: Original coding and design
Marco Elver : Python 3 fork, cleaned up many aspects of the design.
James A. Bednar: For supporting the development of a solution that works with any tool and not just Topographica .
Philipp Rudiger: Testing, feedback and suggestions.