Metadata-Version: 2.1
Name: pmdarima
Version: 1.1.0
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/v1.1.0.tar.gz
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        ![Supported versions](https://img.shields.io/badge/python-3.5+-blue.svg)
        
        # pmdarima
        
        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 the following Python versions:
        
        * Python 3.5+:
          * 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>=0.28` 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.
        
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
Requires-Python: >=3.5
Description-Content-Type: text/markdown
