Metadata-Version: 2.1
Name: pmdarima
Version: 1.2.1
Summary: Python's forecast::auto.arima equivalent
Home-page: https://github.com/tgsmith61591/pyramid
Maintainer: Taylor G. Smith
Maintainer-email: taylor.smith@alkaline-ml.com
License: MIT
Download-URL: https://github.com/tgsmith61591/pyramid/archive/v1.2.1.tar.gz
Keywords: arima timeseries forecasting pyramid pmdarima pyramid-arima scikit-learn statsmodels
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: Cython (>=0.29)
Requires-Dist: joblib (>=0.11)
Requires-Dist: numpy (>=1.15)
Requires-Dist: pandas (>=0.19)
Requires-Dist: scikit-learn (>=0.19)
Requires-Dist: scipy (<1.3,>=1.2)
Requires-Dist: six (>=1.5)
Requires-Dist: statsmodels (>=0.9.0)

# pmdarima

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![Supported versions](https://img.shields.io/badge/python-3.5+-blue.svg)

Pmdarima (originally `pyramid-arima`, for the anagram of 'py' + 'arima') is a no-nonsense statistical
Python library with a solitary objective: bring R's
[`auto.arima`](https://www.rdocumentation.org/packages/forecast/versions/7.3/topics/auto.arima)
functionality to Python. Pmdarima operates by wrapping
[`statsmodels.tsa.ARIMA`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/arima_model.py)
and [`statsmodels.tsa.statespace.SARIMAX`](https://github.com/statsmodels/statsmodels/blob/master/statsmodels/tsa/statespace/sarimax.py)
into one estimator class and creating a more user-friendly estimator interface for programmers familiar with scikit-learn.


## Installation

Pmdarima is on pypi under the package name `pmdarima` and can be downloaded via `pip`:

```bash
$ pip install pmdarima
```

Note that legacy versions (<1.0.0) are available under the name
"`pyramid-arima`" and can be pip installed via:

```bash
# Legacy warning:
$ pip install pyramid-arima
# python -c 'import pyramid;'
```

To ensure the package was built correctly, import the following module in python:

```python
from pmdarima.arima import auto_arima
```


### Availability

`pmdarima` is available in pre-built Wheel files for Python 3.5+ for the following platforms:

* Mac (64-bit)
* Linux (64-bit manylinux)
* Windows (32 & 64-bit)

If a wheel doesn't exist for your platform, you can still `pip install` and it
will build from the source distribution tarball, however you'll need `cython>=0.29`
and `gcc` (Mac/Linux) or `MinGW` (Windows) in order to build the package from source.


### Documentation

All of your questions and more (including examples and guides) can be answered by
the [`pmdarima` documentation](https://www.alkaline-ml.com/pmdarima). If not, always
feel free to file an issue.


