Metadata-Version: 2.1
Name: time-series-transformer
Version: 1.0.0
Summary: Time Series Transformer
Home-page: https://github.com/DanielAtKrypton/time_series_transformer
Author: Daniel Kaminski de Souza
Author-email: daniel@kryptonunite.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: torch
Requires-Dist: numpy (==1.19.3)
Provides-Extra: dev
Requires-Dist: pylint ; extra == 'dev'
Requires-Dist: autopep8 ; extra == 'dev'
Requires-Dist: bumpversion ; extra == 'dev'
Requires-Dist: twine ; extra == 'dev'
Provides-Extra: docs
Provides-Extra: test
Requires-Dist: pytest (>=4.6) ; extra == 'test'
Requires-Dist: pytest-cov ; extra == 'test'
Requires-Dist: flights-time-series-dataset ; extra == 'test'
Requires-Dist: time-series-predictor ; extra == 'test'

# Transformers for Time Series
[![PyPI version](https://badge.fury.io/py/time-series-transformer.svg)](https://badge.fury.io/py/time-series-transformer) [![travis](https://travis-ci.org/DanielAtKrypton/time_series_transformer.svg?branch=master)](https://travis-ci.org/github/DanielAtKrypton/time_series_transformer) [![codecov](https://codecov.io/gh/DanielAtKrypton/time_series_transformer/branch/master/graph/badge.svg)](https://codecov.io/gh/DanielAtKrypton/time_series_transformer) [![GitHub license](https://img.shields.io/github/license/DanielAtKrypton/time_series_transformer)](https://github.com/DanielAtKrypton/time_series_transformer) [![Requirements Status](https://requires.io/github/DanielAtKrypton/time_series_transformer/requirements.svg?branch=master)](https://requires.io/github/DanielAtKrypton/time_series_transformer/requirements/?branch=master)

Based on [timeseriestransformer](https://readthedocs.org/projects/timeseriestransformer/badge/?version=latest).

## Installation

```terminal
.\scripts\init-env.ps1
```

## Usage

```python
from flights_time_series_dataset import FlightsDataset
from time_series_predictor import TimeSeriesPredictor
from time_series_transformer import Transformer

tsp = TimeSeriesPredictor(
    Transformer(),
    max_epochs=50,
    train_split=None,
)

tsp.fit(FlightsDataset())
```

### Test

To test the package simply run the following command from project's root folder.

```bash
pytest -s
```


