# shapeletpy

**Repository Path**: moxie-chen/shapeletpy

## Basic Information

- **Project Name**: shapeletpy
- **Description**: Time Series Classification Using Shapelets
- **Primary Language**: Unknown
- **License**: CC-BY-SA-4.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-08
- **Last Updated**: 2021-06-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# shapes-from-time

Time series classification using Shapelets as proposed by Eamonn Keogh and Lexiang Ye. Shapelets are time series subsequences which are in some sense maximally representative of a class. 

## Getting Started

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

### Prerequisites

Following packages should be installed in your system before shapeletpy installation.

```
      'markdown',
		  'collections',
		  'itertools',
		  'operator',
		  'pickle',
		  'random',
		  'threading',
		  'time',
		  'sklearn',
		  'matplotlib',
		  'numpy',
		  'pandas',
		  'progressbar',
		  'seaborn',
		  'saxpy',
		  'scipy'
```

### Installing

For a fresh installation, run the below code:

```
pip install shapeletpy
```

If you need to reinstall the existing copy of this package, execute the following command:

```
pip install --upgrade --force-reinstall shapeletpy
```
You should get an output as shown below:

Installing collected packages: shapeletpy
  Found existing installation: shapeletpy 0.1
Successfully installed shapeletpy-0.1

## Running the tests

Explain how to run the automated tests for this system

### Break down into end to end tests

Explain what these tests test and why

```
Give an example
```

### And coding style tests

Explain what these tests test and why

```
Give an example
```

## Deployment

Add additional notes about how to deploy this on a live system

## Built With

* [Dropwizard](http://www.dropwizard.io/1.0.2/docs/) - The web framework used
* [Maven](https://maven.apache.org/) - Dependency Management
* [ROME](https://rometools.github.io/rome/) - Used to generate RSS Feeds

## Contributing

Please read [CONTRIBUTING.md](https://gist.github.com/PurpleBooth/b24679402957c63ec426) for details on our code of conduct, and the process for submitting pull requests to us.

## Versioning

We use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/your/project/tags). 

## Authors

* **Rohit Vincent** - *Initial work* - [rohitvincent](https://github.com/rohitvincent)

See also the list of [contributors](https://github.com/your/project/contributors) who participated in this project.

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details

## Acknowledgments

* Hat tip to anyone whose code was used
* Inspiration
* etc