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Atmospheric New Particle Formation events identification using Hidden Markov Models

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NPF-HMM

NPF-HMM is a New Particle Formation event identificator based on Hidden Markov Models.

Getting Started

These instructions will give you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Requirements for the software and other tools to build, test and push

Installation

Clone the repository

$ git clone https://github.com/gfogwill/npf-hmm
$ cd npf-hmm

Now let's install the requirements. But before we do that, we strongly recommend creating a virtual environment with a tool such as virtualenv:

$ python -m venv venv
$ source venv/bin/activate
$ make requirements

Every time you start a new session you need to activate the virtual environment.

$ source venv/bin/activate

Testing the code

$ npf-hmm info

If everything is OK you should see the program logo.


Project based on the cookiecutter data science project template. #cookiecutterdatascience

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Atmospheric New Particle Formation events identification using Hidden Markov Models

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