igel
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nidhaloff
a delightful machine learning tool that allows you to train, test, and use models without writing code
Hello everyone, First of all, I want to take a moment to thank all contributors and people who supported this project in any way ;) you are awesome! If you...
* igel version: 1.0.0 * Python version: 3.10 * Operating System: MacOS ### Description I tried to add the CatBoost Regression and Classification Models in addition to the other models...
Installed CatBoost Library which can be used for both Regression and Classification models. Added them to data.py as options that can be selected later. Included installation in the requirements file.
Hi @nidhaloff, I have added the feature for CNN in pytorch where the user enters random model. I also created a igel_cnn.yaml file for example. I have also tested it...
Solves issue #77 Model is configured via the YAML file. Have provided an yaml file example. Tested on Colab. Utilising Keras ensured that we could support a variety of layers...
* igel version: 1.0.0 * Python version: 3.8.10 * Operating System: Ubuntu 20.04 ### Description Installation fails with the following error: `markdown 3.4.1 has requirement importlib-metadata>=4.4; python_version < "3.10", but...
Review and update project dependencies to their latest stable versions. Remove any unused dependencies and ensure compatibility.
This PR sets up an automated release process for the project using GitHub Actions. Key features include: Automated version bumping: Releases are triggered by pushing a new version tag (e.g.,...
Implement progress bars or indicators for long-running operations to improve user experience.
Set up automated release process using GitHub Actions, including version bumping, changelog generation, and PyPI publishing.