This is the Windows app named Emb-GAM whose latest release can be downloaded as v0.2.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Emb-GAM with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
Emb-GAM
DESCRIPTION
Deep learning models have achieved impressive prediction performance but often sacrifice interpretability, a critical consideration in high-stakes domains such as healthcare or policymaking. In contrast, generalized additive models (GAMs) can maintain interpretability but often suffer from poor prediction performance due to their inability to effectively capture feature interactions. In this work, we aim to bridge this gap by using pre-trained neural language models to extract embeddings for each input before learning a linear model in the embedding space. The final model (which we call Emb-GAM) is a transparent, linear function of its input features and feature interactions. Leveraging the language model allows Emb-GAM to learn far fewer linear coefficients, model larger interactions, and generalize well to novel inputs. Across a variety of natural-language-processing datasets, Emb-GAM achieves strong prediction performance without sacrificing interpretability.
Features
- For finer control, you can instead clone and install this repo from source
- Interpretable linear model that leverages a pre-trained language model to better learn interactions
- One-line fit function
- Emb-GAM uses a pre-trained language model to extract features from text data
- Combines features in order to extract out a simple, linear model
- The best way to use Emb-GAM is through the imodelsx package
- Emb-GAM achieves strong prediction performance without sacrificing interpretability
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/emb-gam.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
