Faultline | Team Formation Model for Faultline Minimization
kandi X-RAY | Faultline Summary
kandi X-RAY | Faultline Summary
This repository contains the code for both measuring faultlines according to our definition (which we present shortly) as well as the implementation of our algorithms for creating teams with low faultline potential.
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Top functions reviewed by kandi - BETA
- Perform a greedy iteration .
- Greedy iteration of greedy iteration
- Iterative Munk iteration .
- greedy partitioning
- Performs a hung partitioning .
- Compute the triplestore frequency
- Compute the centers for each cluster .
- Calculate the distance function for a triangle .
- Calculate distance from Heroku normalization .
- This is the main function .
Faultline Key Features
Faultline Examples and Code Snippets
Community Discussions
Trending Discussions on Faultline
QUESTION
I have a code like this. I want to show maxlength 100 but when I click button I want to see all text. When I click button again I want to show length is going to be 100 again. I didn't do it. Can you help me ? Sorry for my English
...ANSWER
Answered 2021-Dec-20 at 14:24You can do a little trick like this where you assign the full text content to a dataset attribute at page load but display the short version on the page. When the button is clicked, assign the short text content to another dataset attribute and display the full text. This process then repeats to hide the full text when the button is clicked again.
QUESTION
I copied the code for adding legend via proxy artists from matplotlib's documentation but it doesn't work. I also tried the rest in matplotlib's legends guide but nothing works. I guess it's because the element is a shapely feature which ax.legend()
somehow doesn't recognize.
Code
...ANSWER
Answered 2020-Jul-23 at 00:19When copying the matplotlib example, you omitted the actual "proxy" artist line!
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install Faultline
You can use Faultline like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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