Metadata-Version: 2.1
Name: ms2deepscore
Version: 0.1.0
Summary: Deep learning similarity measure for comparing MS/MS spectra.
Home-page: https://github.com/iomega/ms2deepscore
Author: Netherlands eScience Center
Author-email: f.huber@esciencecenter.nl
License: Apache Software License 2.0
Platform: UNKNOWN
Requires-Python: >=3.7
Requires-Dist: matchms
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: tensorflow
Requires-Dist: tqdm
Provides-Extra: dev
Requires-Dist: bump2version ; extra == 'dev'
Requires-Dist: isort (<5,>=4.2.5) ; extra == 'dev'
Requires-Dist: prospector[with_pyroma] ; extra == 'dev'
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: pytest-cov ; extra == 'dev'
Requires-Dist: sphinx (!=3.2.0,<4.0.0,>=3.0.0) ; extra == 'dev'
Requires-Dist: sphinx-rtd-theme ; extra == 'dev'
Requires-Dist: sphinxcontrib-apidoc ; extra == 'dev'
Requires-Dist: yapf ; extra == 'dev'

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# ms2deepscore
Deep learning similarity measure for comparing MS/MS spectra with respect to their chemical similarity

## Requirements

Python 3.7 or higher

## Prepare environmnent
We recommend to create an Anaconda environment with

```
conda create --name ms2deepscore python=3.8
conda activate ms2deepscore
pip install -e .
```
Or to have the full matchms functionality:
```
conda create --name ms2deepscore python=3.8
conda activate ms2deepscore
conda install --channel nlesc --channel bioconda --channel conda-forge matchms
pip install -e .
```


