epistemic-landscapes | Simulating the exploration of Epistemic Landscapes
kandi X-RAY | epistemic-landscapes Summary
kandi X-RAY | epistemic-landscapes Summary
epistemic-landscapes is a Python library. epistemic-landscapes has no bugs, it has no vulnerabilities and it has low support. However epistemic-landscapes build file is not available. You can download it from GitHub.
You'll need python installed, plus numpy: To save yourself the pain of installing these packages, I highly recommend just getting the Anaconda python distribution from Clone the code and install the dependencies. (if git looks scary, then download the GUI: Try running one of files in the example folder. Maybe read it first, as the output (by default) goes to the ~/Desktop folder. Want to add some new strategies? Check out ./epistemic/agent.py. You can create a new class for an agent, just override the "step" method. You can specify this new class in the config file.
You'll need python installed, plus numpy: To save yourself the pain of installing these packages, I highly recommend just getting the Anaconda python distribution from Clone the code and install the dependencies. (if git looks scary, then download the GUI: Try running one of files in the example folder. Maybe read it first, as the output (by default) goes to the ~/Desktop folder. Want to add some new strategies? Check out ./epistemic/agent.py. You can create a new class for an agent, just override the "step" method. You can specify this new class in the config file.
Support
Quality
Security
License
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Support
epistemic-landscapes has a low active ecosystem.
It has 2 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 1 have been closed. On average issues are closed in 746 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of epistemic-landscapes is current.
Quality
epistemic-landscapes has no bugs reported.
Security
epistemic-landscapes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
epistemic-landscapes does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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epistemic-landscapes releases are not available. You will need to build from source code and install.
epistemic-landscapes has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed epistemic-landscapes and discovered the below as its top functions. This is intended to give you an instant insight into epistemic-landscapes implemented functionality, and help decide if they suit your requirements.
- Generate the fitness links for each parameter .
- Calculate the neighborhood of a given location .
- Update the data of the turtle .
- Combine two runs .
- Generate the neighbourhood of each patch .
- Set up the set of patches .
- Combine examples .
- Checks to see if the gradient of the model .
- Create turtle objects .
- Begins the simulation .
Get all kandi verified functions for this library.
epistemic-landscapes Key Features
No Key Features are available at this moment for epistemic-landscapes.
epistemic-landscapes Examples and Code Snippets
No Code Snippets are available at this moment for epistemic-landscapes.
Community Discussions
No Community Discussions are available at this moment for epistemic-landscapes.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install epistemic-landscapes
You can download it from GitHub.
You can use epistemic-landscapes 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.
You can use epistemic-landscapes 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.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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