TimeFeatures 2.1.0

Timefeatures add-on for Orange 3 data mining software.

Orange3 TimeFeatures

Timefeatures add-on for Orange 3 data mining software for generating synthetic data using datasets with time series, generating graphs of relationships between the generated variables and includes another widget to save the data and configuration tables in a database.

Installation

Orange add-on installer

Install from Orange add-on installer through Options -> Add-ons.

Using pip

To install the add-on with pip use

pip install TimeFeatures

To install the add-on from source, run

python setup.py install

To register this add-on with Orange, but keep the code in the development directory (do not copy it to Python's site-packages directory), run

python setup.py develop

You can also run

pip install -e .

which is sometimes preferable as you can pip uninstall packages later.

Anaconda

If using Anaconda Python distribution, simply run

pip install TimeFeatures

Required Dependencies:

• numpy>=1.22.4
• AnyQt>=0.2.0
• PyQt5>=5.15.6
• PyQtWebEngine>=5.15.6
• scipy>=1.7.3
• SQLAlchemy>=1.4.0
• psycopg2-binary>=2.9.9
• PyMySQL>=1.0.0
• Orange3-Network>=1.8.0

Usage

After the installation, the widgets from this add-on are registered with Orange. To run Orange from the terminal, use

orange-canvas

or

python3 -m Orange.canvas

New widgets are in the toolbox bar under Time-Features section.

Documentation

The add-on includes Sphinx documentation for each widget. Orange resolves the local HTML pages through its internal Help panel, not through an internet URL. To rebuild the documentation locally, run

pip install -e ".[docs]"
python -m sphinx -b html docs timefeatures/help_html

Use the widget help action in Orange to open the corresponding page inside the Orange Help window.

Workflow Example

This is an example of how you can use this add-on.