2. Setup¶
Pmdarima depends on several prominent python packages:
- Numpy (>=1.17.3)
- SciPy (>=1.3.2)
- Scikit-learn (>=0.22)
- Pandas (>=0.19)
- Statsmodels (>=0.11)
2.1. Install from PyPi¶
Pmdarima is on pypi under the package name pmdarima
and can be
downloaded via pip
:
$ pip install pmdarima
Pmdarima uses Cython, which means there is some C source that was built in the distribution process. To ensure the package was built correctly, import the following module in python:
from pmdarima.arima import auto_arima
If you encounter an ImportError
, try updating numpy and re-installing. Outdated
numpy versions have been observed to break the pmdarima build.
2.2. Build from source¶
If you’d like to install a development or bleeding edge version of pmdarima, you can always build it from the git source. First clone it from Git:
$ git clone https://github.com/alkaline-ml/pmdarima.git
$ cd pmdarima
Building the package will require gcc
(unix) or a Windows equivalent, like
MinGW
. To build in development mode (for running unit tests):
$ python setup.py develop
You can also use the Makefile
if you’re on a posix machine:
$ make develop
Alternatively, to install the package in your site-packages
:
$ python setup.py install
Or, with the Makefile
:
$ make install