biolab / biolab/orange3

Prediction widget crashes in at least two different ways

Open
#6,672 1 comment 0 reactions 0 assignees View on GitHub
bug snack
Dominant language
Python
Stars
5.7k
Forks
1.1k
Avg merge
12d 2h
Merged PRs (30d)
1

Description

**What's wrong?**
Linear regression on Mac crashes. I have no issues with classification or clustering. However, as soon as I connect select column 1 to prediction the system crashes. I have forwarded the error messages too. I repeated exactly the same on my wife’s windows pc and works perfectly. File is just columns with headers x,y, z and 12 instances. File 1 used for prediction is a couple of instances taken from File and used ? For target. This way I made sure I had no transposition errors on column headers. Furthermore I selected the features to skip and keep for both File and File 1 as well as as using select columns for both training and prediction. In windows using the same workflow and data you get the results no issues.
Orange 3.36.2
Apple M2 Pro 16 GB
Mac OS Sonoma 14.1.1
447 GB storage available

Thank you
By the way I love Orange
Regards
Houtan

**How can we reproduce the problem?**
![b5198b1a-2f3d-42a0-9ce2-7df54a7abb10](https://github.com/biolab/orange3/assets/153465049/9a007183-80fb-4f12-b509-d3cab8639ffe)
![2c23fd88-a225-47a1-9162-5e5eecb391b5](https://github.com/biolab/orange3/assets/153465049/46fd3f69-ba39-4d37-b5f1-c120b40e1b62)
![0922dc41-a4e1-4ceb-a0ca-0fea037699b1](https://github.com/biolab/orange3/assets/153465049/802ff8f3-7f71-4c13-bc02-4acf5b23496e)

**What's your environment?**

- Operating system:
- Orange version:
- How you installed Orange:

Contributor guide

Open the contributing guide

Research direction

Start at the Prediction widget and reproduce the linear-regression workflow shown in the screenshots, using the described training and prediction files on macOS. Compare the behavior with Windows and use the forwarded error messages to identify both crash paths; done means the workflow completes without crashing.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, scikit-learn
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.