| --- |
| title: ROBERT |
| emoji: 🧪 |
| colorFrom: indigo |
| colorTo: blue |
| sdk: gradio |
| sdk_version: 6.14.0 |
| python_version: 3.12.12 |
| app_file: app.py |
| pinned: false |
| license: mit |
| short_description: Automated and reproducible machine learning for chemistry |
| --- |
| |
| # ROBERT |
|
|
| Minimal web interface for **ROBERT** (Refiner and Optimizer of a Bunch of |
| Existing Regression Tools). |
|
|
| Upload a CSV dataset, select the target and name/ID columns, and run the full |
| ROBERT workflow. When the calculation finishes, the PDF report, figures and a |
| ZIP archive containing all results can be downloaded. |
|
|
| ## Input |
|
|
| - A comma-, semicolon- or tab-separated CSV file. |
| - One target column (`y`). |
| - One column containing the datapoint names or IDs. |
| - Descriptor columns used to build the models. |
|
|
| The uploaded table is normalized to a comma-separated CSV before ROBERT is |
| started. Public deployments should only be used with non-confidential data. |
|
|
| ## Links |
|
|
| - [ROBERT source code](https://github.com/jvalegre/robert/tree/ddg_branch) |
| - [Documentation](https://robert.readthedocs.io/) |
|
|
| ROBERT is distributed under the MIT License. |
|
|
| ## Hardware |
|
|
| This version is adapted for **ZeroGPU** so that eligible free personal accounts |
| can host it without subscribing to PRO. The ROBERT calculation is exposed |
| through `@spaces.GPU(duration=300)` and must finish within five minutes. |
|
|
| ROBERT currently relies mainly on CPU-based scikit-learn workflows, so the |
| allocated GPU does not make the calculation faster. It is used here to satisfy |
| the ZeroGPU execution model. Free accounts currently receive five minutes of |
| ZeroGPU usage per day; unauthenticated visitors receive two minutes. |
|
|
|
|
