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As you mentioned, Orange is a data mining software developed by the University of Ljubljana. … One of the unique features that makes Orange "special" is its simplicity and ease of use. This is because components in Orange are drag and drop and widget-based. …

Yes, Orange does not handle very large data sets very well. In fact, if you try to load in something like the file size that you are talking about (gigabytes of data) it will crash. … You can not do this in Orange. …

I am trying to install an Add-on package from GitHub that contains prototype widgets for Orange Data Mining. I am trying to install it from the GitHub page found here. … Then, however, it throws an error and says: Orange requires Python >= 3.4 I am using Mac OS. …

I am currently trying to make a facial recognition workflow with Orange but since the widgets are still prototypes they are not all available in Orange through the add-on menu. … I found the Github files for the widgets but don't know how to install this so that I can see and use the widgets in Orange. …

Yes, this is what the Save Model widget does under the Model tab. Create your model, then click save model and your model will be saved to a pickle file. Then just load your pickle file in Python. Her …

All release notes for new versions of the Orange Data Mining software can be found by looking at the release page on its GitHub page here. … Snapshot for Orange 3.21.0 below: …

Two things: Try reinstalling/updating Orange to the latest version. Try reinstalling/updating the Geo package in Orange, from the Add-ons menu, to the latest version. … I am currently running Orange version 3.27.1 and Geo version 0.2.8 and the Choropleth widget appears. …

I am having trouble downloading some add-ons for the Orange data mining software that are not available through the normal add-ons menu. … Does anyone have Orange running on Mac so that they can try this to see if it works? Specifics for the exact code that I need to implement in the terminal to get this to work would also be helpful. …

Yes, Orange has a Dimensionality Reduction Widget under the Unsupervised Learning tab. Click PCA (Principal Component Analysis) …

The similarity hashing widget can compute document similarity within a certain corpus.

While you may be able to connect Orange to Postgresql, Orange does not handle large datasets very well (it will cause it to crash). … Personally, I think Orange works, and is most effective, with smaller sized datasets for illustrative tasks and exploratory data analysis. …

I am attempting to load in the Iris.tab data set into the Orange load data widget. However, when I do this, I get the following error message (shown above). … This keeps popping up when I start up Orange Data Mining and try to load the iris.tab data file. It used to work before, but now it is showing this error. …

To accomplish this, you can use the Orange Concatenate Widget under the Data tab shown below: This widget takes a primary data set and an additional dataset and concatenates them into one dataset. …

You can export any trained machine learning model in Orange using the Save Model widget. This is what the Save Model widget does under the Model tab. …

I am using Orange data mining in order to create a facial recognition workflow with some prototype widgets. To do this, I am trying to import some images (test data) using the import widget. …