search

biolab / orange3-timeseries

🍊 :chart_with_upwards_trend: Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
Other
62 stars 41 forks source link
arima autoregressive forecasting orange prediction sequence time time-series timeseries visualization

readme

Orange3-Timeseries

Discord Chat Build Status codecov Documentation Status

Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.

Package documentation: http://orange3-timeseries.readthedocs.io/

Installing

Via Add-on Dialogue

Go to Options - Add-ons in Orange, select Timeseries from the list of add-on and install. Restart Orange for the add-on to appear.

With Anaconda

The easiest way to install Orange3-Timeseries on a non-GNU/Linux system is with Anaconda distribution for your OS (Python version 3.5). In your Anaconda Prompt, first add conda-forge to your channels:

conda config --add channels conda-forge

Then install Orange3:

conda install orange3

This will install the latest release of Orange. Then install Orange3-Timeseries:

conda install Orange3-Timeseries

Run:

orange-canvas

to open Orange and check if everything is installed properly.

From source

To install the add-on from source

# Clone the repository and move into it
git clone https://github.com/biolab/orange3-timeseries.git
cd orange3-timeseries

# Install corresponding wheels for your OS:
pip install some-wheel.whl

# Install Orange3-Timeseries in editable/development mode.
pip install -e .

To register this add-on with Orange, run

python setup.py install