Orange3 contains a number of regression widgets, but they all seem to be univariable i.e. one independent variable that correlates to one dependent variable. When I have more independent variables that might influence a dependent variable, how to handle this in Orange3?
Orange has a hyperspectral dataset called "liver cirrhosis" and you can visualize the hyperspectral image using the hyperspectral image widget. However, I would like to perform various clustering methods e.g. k-means on the spectra at each pixel and then display those clusters on the hyperspectral image widget like in this photo does anyone know how to do this kind of analysis?
I'm trying to figure out the difference between using the data sampler to get a 70/30 train/test split and directly using the test and score widget to do so via random sampling. My workflow as follows This is how my test and score widget looks for the case without the data sampler and this is how my data sampler widget looks I see very different results in the confusion matrix at the end between the two. Using the data sampler, …
I am trying to create a Choropleth map using the Chorolpeth widget from the Geo Add-on in Orange. However, this widget is not appearing? Any ideas? My current version: Orange version 3.24.1 for Windows
I am analysing if 15 books can be grouped according to 6 variables (of the 15 books, 2 are written by an author, 6 by an other one, and 7 by an other one). I counted the number of occurrences of the variables and I calculated the percentage. Then I used Orange software to use PCA. I uploaded the file. selected the columns and row. And when it comes to PCA the program asks me if I want to normalize …
I am new to Orange and it seems very useful for conducting exploratory data analysis. One question I have is - can we use a widget to modify some values in the dataset? For example, several numerical columns have some values of 0 which does not make sense and should be a "missing data". I do not want to ignore the line as some other column data are important. Also not all 0 should be replaced with "missing data" as …
I have gathered a large amount of qualitative data and am now looking to cluster it so as to make sense of it. For this, I am using Biolab's Orange. In my data, specific values may co-occur in a given feature, or they may not. I am wondering how I could cluster the data (either in Orange or other software), where values that co-occur would be seen as two values, rather than one string. To make matters clearer, imagine I …
I am using the Twitter API. The Orange widget for Twitter works fine if we do a search by content. However, it throws an error if you search by author. The error is: Api error(Twitter error response status code = 401)
I am seeking to evaluate logistic regression against a rule-based (nested if-else statements) classification in Orange. The steps I've taken to investigate this are as follows: I could not identify any widgets that would implement this. The closest I could find was the interactive tree from version 2.7, but this widget seems to have been discontinued. I've attempted to generate the results I'm looking for by editing the in_data object produced by creating a tree, sending the results to the …
We are running Orange with our students and most of them are having problems with running the Geo Map widget. It does not show any background map. In the bottom an error message is displayed: "Cannot fetch map from the Internet. Displaying only cached parts." I have found this Github page, but it does not explain how to update or add any JSON files that might be missing: https://github.com/biolab/orange3-geo/blob/master/CONTRIBUTING.md What do we have to do to get the background maps …
I am a beginner to Orange GUI data mining software and I have some questions related to that. First, I would like to know if there is any search function so that I can search if a column contains a specific word. Second, does Orange has any functions for dimension reduction?
I have a data of a bag of words in a document. The data has 3 columns: {document number, word number, count of the word in the number}. I am supposed to generate frequent item-sets of a particular size. I thought that I would make list of all words that appear in a document, create a table of this list, and then generate frequent item-sets using Mlxtend or Orange . However, this approach does not seem to be efficient.
I am experimenting with Orange data mining tool. When I use the 'Corpus' widget from the text mining section it gives me the error: [![Corpus widget error][1]][1] I have tried many things, but am still unable to resolve this issue. [1]: https://i.stack.imgur.com/X4tKu.png Besides that, in text mining, it does not show import document option in orange v 3.25. I just want to know the options to import text files into the Orange.
I have twitter text as an Excel file: every line is one one tweet. How do I view this corpus in Orange3? I don't understand why I can't simply see this corpus. As you can see in the image below, the channel is red and there's nothing in Corpus View, while Data Table shows some data
I would like to be able to utilize Orange to OCR pictures with pytesseract. I have been able to create simple code in the Python Script widget in order to read one image at a time, but I want to be able to bring the images in with import images widget, and use the python script just to read them and provide an output. When it comes to the output, I would like to be able to save the text …
I am trying to scrape tweets with the Twitter widget. However, when I try to connect Orange to my Twitter APP, it asks for a bearer token. After I put the bearer token, it shows up API error... I don't understand what is going on here.
I read a lot about Orange here in the forum. I know that it is a software developed at the University of Ljubljana. I guess it has some kind of GUI which makes it a "cheap and easy" way to implement ML models. My question: What is special about Orange? What are the advantages of the software (especially when compared to R or Python)? Is it merely some kind of GUI or does it come with functionality that goes beyond …
In Orange3, I have a table with row duplicates. How can I simply remove the duplicated rows to keep only one copy of each? I feel like Orange3 is great but cannot do simple tasks. I hope I just did not find the right widget.