1Orange3-Timeseries
2==================
3
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8
9Orange add-on for analyzing, visualizing, manipulating, and forecasting time
10series data.
11
12**License: CC-BY-NC-3.0**
13
14In order to use this package commercially, please obtain a [Highcharts] license.
15
16[Highcharts]: http://www.highcharts.com/
17
18Package documentation: http://orange3-timeseries.readthedocs.io/
19
20Installing
21----------
22
23### Via Add-on Dialogue
24
25Go to Options - Add-ons in Orange, select Timeseries from the list of add-on and install. Restart Orange for the add-on to appear.
26
27### With Anaconda
28
29The easiest way to install Orange3-Timeseries on a non-GNU/Linux system is
30with [Anaconda] distribution for your OS (Python version 3.5).
31In your Anaconda Prompt, first add conda-forge to your channels:
32
33    conda config --add channels conda-forge
34
35Then install Orange3:
36
37    conda install orange3
38
39This will install the latest release of Orange. Then install Orange3-Timeseries:
40
41    conda install Orange3-Timeseries
42
43Run:
44
45    orange-canvas
46
47to open Orange and check if everything is installed properly.
48
49
50[Anaconda]: https://www.continuum.io/downloads
51
52### From source
53
54To install the add-on from source
55
56    # Clone the repository and move into it
57    git clone https://github.com/biolab/orange3-timeseries.git
58    cd orange3-timeseries
59
60    # Install corresponding wheels for your OS:
61    pip install some-wheel.whl
62
63    # Install Orange3-Timeseries in editable/development mode.
64    pip install -e .
65
66 - [numpy+mkl](http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy)
67 - [scipy](http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy)
68 - [statsmodels](http://www.lfd.uci.edu/~gohlke/pythonlibs/#statsmodels)
69
70To register this add-on with Orange, run
71
72    python setup.py install
73