Library to conduct experiments in population dynamics.
Project description
Population dynamics
Library to conduct experiements on population dynamics.
Installation
- To generate required log and results directories, run
bash init.sh
- Create conda environment
conda env create -f environment.yml
- Activate the environment
conda activate population-dynamics
- Install
causal
as a package within the environment
python setup.py develop
Running the Lotka-Volterra simulation
-
The Lotka-Volterra simulator class exists in
repo/causal/base/lotka_volterra.py
. -
The Lotka-Volterra simulation parameters are fetched from
repo/causal/config.py
. You can edit theconfig.py
file directly to play around with the parameter values. -
You can run the simulator directly from terminal by running
python causal/base/lotka_volterra.py
- The simulation statistics will be saved in the
repo/results
directory.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for causal-inference-population-dynamics-0.0.2.dev10.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3c13be6de09fbe7eb0e5cc67658c547d06659ab782e0b80663a7e4e8a0022fa0 |
|
MD5 | 229914223f240afe7b36af6bb3a22e4e |
|
BLAKE2b-256 | 1ca992b83d230b2dedd89459b7c33536dc9f91598d98bde0bfe7d9e928c0e9ff |
Close
Hashes for causal_inference_population_dynamics-0.0.2.dev10-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 06eed749a63b992938bb9dc1df9303667fb020db10f7abcae7cbcf58f24fa0ed |
|
MD5 | 33805adb44e6b9d7a03671bced83df86 |
|
BLAKE2b-256 | a5141026cf8075d3e095f88d593b6f70eb12cce85ba50e85ef32109c8a311531 |