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Evalmate is a set of tools for evaluating audio related machine learning tasks.

Project description


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Evalmate is a set of tools for evaluating audio related machine learning tasks.

[Documentation]( [Examples]( [Changelog](

## Installation

`sh pip install evalmate `

Install the latest development version:

`sh pip install git+ `

## Development

### Prerequisites

It’s recommended to use a virtual environment when developing audiomate. To create one, execute the following command in the project’s root directory:

` python -m venv . `

To install evalmate and all it’s dependencies, execute:

` pip install -e . `

### Running the test suite

` pip install -e .[dev] python test `

With PyCharm you might have to change the default test runner. Otherwise, it might only suggest to use nose. To do so, go to File > Settings > Tools > Python Integrated Tools (on the Mac it’s PyCharm > Preferences > Settings > Tools > Python Integrated Tools) and change the test runner to py.test.

### Editing the Documentation

The documentation is written in [reStructuredText]( and transformed into various output formats with the help of [Sphinx](

To generate the documentation, execute:

` pip install -e .[dev] cd docs make html `

The generated files are written to docs/_build/html.

### Versions

Versions is handled using [bump2version]( To bump the version:

` bump2version [major,minor,patch,release,num] `

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