If you are often working with Orange, you probably have noticed a small button at the bottom of most visualization widgets. “Save Graph” now enables you to export graphs, charts, and hierarchical trees to your computer and use them in your reports. Because people need to see it to believe it!
Save Graph function is available in Paint Data, Image Viewer, all visualization widgets, and a few others (list is below).
You can save visualizations in .png, .dot or .svg format. However – brace yourselves – our team is working on something even better, which will be announced in the following weeks.
So you have painted two data sets and loaded another one from a file, and now you are testing predictions of logistic regression, classification trees and SVM on it? Tired of having to reconnect the Paint data widget and the File widget back and forth whenever you switch between them?
Say no more! Look no further! Here is the new Hub widget!
Hub widget is themost versatile widget available so far. It accepts several inputs of any type and outputs them to as many other widgets as you want.
The Hub widget treats all types with the strictest equality.
The Hub widget works like charm and is like the amazing cast-to-void-and-back-to-anything idiom in C. This strongful MacGyver of widgets can (almost) convert classification tree into data, or preprocessor into experimental results without ever touching the data. With its amazing capabilities, the Hub widget has the potential to cause an even greater havoc in your workflows than the famous Merge data widget.
Happy news for all passionate Orange users! We’ve uploaded documentation for our Orange 3 widget selection.
It’s easy to use. To learn more about a particular wigdet, click on the widget. Either use right click and select “Help” or press F1. A new window will open with a widget description and an example for its use. There are also screenshots included as visual help.
We are going to be updating documentation as the widgets continue to develop. Documentation for bioinformatics and data fusion add-ons is expected to be up and running in the following week.