Orange Blog

By: PRIMOZGODEC, Aug 16, 2016

Visualization of Classification Probabilities

This is a guest blog from the Google Summer of Code project. Polynomial Classification widget is implemented as a part of my Google Summer of Code project along with other widgets in educational add-on (see my previous blog). It visualizes probabilities for two-class classification (target vs. rest) using color gradient and contour lines, and it can do so for any Orange learner. Here is an example workflow. The data comes from the File widget.

By: PRIMOZGODEC, Aug 12, 2016

Interactive k-Means

This is a guest blog from the Google Summer of Code project. As a part of my Google Summer of Code project I started developing educational widgets and assemble them in an Educational Add-On for Orange. Educational widgets can be used by students to understand how some key data mining algorithms work and by teachers to demonstrate the working of these algorithms. Here I describe an educational widget for interactive k-means clustering, an algorithm that splits the data into clusters by finding cluster centroids such that the distance between data points and their corresponding centroid is minimized.

By: AJDA, Apr 14, 2016

Univariate GSoC Success

Google Summer of Code application period has come to an end. We’ve received 34 applications, some of which were of truly high quality. Now it’s upon us to select the top performing candidates, but before that we wanted to have an overlook of the candidate pool. We’ve gathered data from our Google Form application and gave it a quick view in Orange. First, we needed to preprocess the data a bit, since it came in a messy form of strings.

By: AJDA, Mar 3, 2016

Orange at Google Summer of Code 2016

Orange team is extremely excited to be a part of this year’s Google Summer of Code! GSoC is a great opportunity for students around the world to spend their summer contributing to an open-source software, gaining experience and earning money. Accepted students will help us develop Orange (or other chosen OSS project) from May to August. Each student is expected to select and define a project of his/her interest and will be ascribed a mentor to guide him/her through the entire process.

Categories: gsoc gsoc2016 orange3

By: BIOLAB, May 15, 2012

Orange GSoC: Computer vision add-on for Orange

This summer I got the chance to develop an add-on for Orange that will introduce basic computer vision functionality, as a part of Google Summer of Code. The add-on will consist of a set of widgets, each with it’s own dedicated purpose, which can be seamlessly connected to provide most commonly used image preprocessing functionality. Here is a list of the widgets: Widget for viewing image files (add description) Widget for resizing an image Widget for rotation/flipping of the image Widget for converting the color mode (RGB, HSV, Grayscale etc.

Categories: computervision gsoc

By: BIOLAB, May 6, 2012

Orange GSoC: A Fully-Featured Neural Network Library Implementation with Extension for Deep Learning

This project aims to build a neural network library based on some great existing NN libraries, notably the Flood Library, which already provides a fully functional Multilayer Perceptron (MLP) implementation. The project starts with implementing a robust, efficient feed forward neural network library, and then will extend it in significant ways that add support for state-of-the-art deep learning techniques. Additional extensions include building a PCA framework and improving existing training algorithms and error functional.

Categories: gsoc neuralnetwork

By: BIOLAB, Apr 30, 2012

Orange GSoC: Multi-Target Learning for Orange

Orange already supports multi-target classification, but the current implementation of clustering trees is written in Python. One of the five projects Orange has chosen at this year’s Google Summer of Code is the implementation of clustering trees in C. The goal of my project is to speed up the building time of clustering trees and lower their spatial complexity, especially when used in random forests. Implementation will be based on Orange’s SimpleTreeLearner and will be integrated with Orange 3.

By: BIOLAB, Apr 24, 2012

This year five students participate in Google Summer of Code

This year five students have been accepted to participate in Google Summer of Code and contribute to Orange in their summer time. Congratulations! Amela – Widgets for statistics Andrej T. – Computer vision add-on for Orange CoderWilliam – A Fully-Featured Neural Network Library Implementation Based On the Flood Library with Extension for Deep Learning Makarov Dmitry – Text mining add-on for Orange Miran Levar – Multi-Target Learning for Orange Overall, 1,212 students have been accepted this year to various open source organizations from all around the world.

Categories: gsoc

By: BIOLAB, Mar 27, 2012

Orange is again participating in GSoC

This year Orange is again participating in Google Summer of Code as a mentoring organization. Student proposal submission period is running and the deadline is on 6th April. We have prepared a page on our Trac with more information about the Google Summer of Code program, especially how the interested students should apply with their proposals. There is also a list of of some ideas we are proposing for this year but feel free to suggest your own ideas how you could contribute to Orange and make it even better.

Categories: gsoc

By: BIOLAB, Jan 23, 2012

Orange 2.5a2 available

Orange 2.5a2 has been uploaded to PyPI. It now includes basic support for multi-label classification (developed during the Google Summer of Code 2011), some new widget icons and documentation for basket format. Release is also tagged on our Bitbucket repository.

Categories: gsoc pypi release