Skip to main content

Bis-Miner, a component-based data mining framework.

Project description

[![Join the chat at https://gitter.im/biolab/orange3](https://badges.gitter.im/biolab/orange3.svg)](https://gitter.im/biolab/orange3?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

[![build: passing](https://img.shields.io/travis/biolab/orange3.svg)](https://travis-ci.org/biolab/orange3) [![codecov](https://codecov.io/gh/biolab/orange3/branch/master/graph/badge.svg)](https://codecov.io/gh/biolab/orange3)

[Orange] is a component-based data mining software. It includes a range of data visualization, exploration, preprocessing and modeling techniques. It can be used through a nice and intuitive user interface or, for more advanced users, as a module for the Python programming language.

This is a development version of Orange 3. The stable version 2.7 is still available ([binaries] and [sources]).

[Orange]: http://orange.biolab.si/ [binaries]: http://orange.biolab.si/orange2/ [sources]: https://github.com/biolab/orange

Installing

Orange requires Python 3.4 or newer. To build it and install it in a development environment, run:

# Install some build requirements via your system’s package manager sudo apt install virtualenv git build-essential python3-dev

# Create a separate Python environment for Orange and its dependencies … virtualenv –python=python3 –system-site-packages orange3venv # … and make it the active one source orange3venv/bin/activate

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

# Install Qt dependencies for the GUI pip install PyQt5 # Of if Python <= 3.4 and/or with package manager # sudo apt install python3-pyqt4

# Install other minimum required dependencies pip install -r requirements-core.txt # For Orange Python library pip install -r requirements-gui.txt # For Orange GUI

pip install -r requirements-sql.txt # To use SQL support pip install -r requirements-opt.txt # Optional dependencies, may fail

# Finally install Orange in editable/development mode. pip install -e .

Installation of SciPy and qt-graph-helpers is sometimes challenging because of their non-python dependencies that have to be installed manually. More detailed, if mostly obsolete, guides for some platforms can be found in the [wiki].

[wiki]: https://github.com/biolab/orange3/wiki

Anaconda Installation

First, install [Anaconda] for your OS (Python version 3.5+). Create virtual environment for Orange:

conda create python=3 –name orange3

In your Anaconda Prompt add conda-forge to your channels:

conda config –add channels conda-forge

This will enable access to the latest Orange release. Then install Orange3:

conda install orange3

[Anaconda]: https://www.continuum.io/downloads

Starting Orange GUI

Orange GUI requires PyQt, which is not pip-installable in Python 3. You have to download and install it system-wide. Make sure that the virtual environment for orange is created with –system-site-packages, so it will have access to the installed PyQt4.

To start Orange GUI from the command line, assuming it was successfully installed, run:

orange-canvas # or python3 -m Orange.canvas

Append –help for a list of program options.

If you’re running Orange with PyQt5 or if you have multiple PyQt versions available, set the environmental variable QT_API to the PyQt version to use, e.g.:

export QT_API=pyqt5 orange-canvas

Compiling on Windows

Get appropriate wheels for missing libraries. You will need [numpy+mkl] and [scipy].

[numpy+mkl]: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy [scipy]: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy

Install them with

pip install some-wheel.whl

Install [Visual Studio compiler]. Then go to Orange3 folder and run:

[Visual Studio compiler]: http://landinghub.visualstudio.com/visual-cpp-build-tools

python setup.py build_ext -i –compiler=msvc install

Project details


Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for Bis-Miner, version 3.11.0
Filename, size File type Python version Upload date Hashes
Filename, size Bis-Miner-3.11.1.tar.gz (3.8 MB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page