| title: MLP Accessibility Score Predictor | |
| emoji: 🚀 | |
| colorFrom: red | |
| colorTo: pink | |
| sdk: fastapi | |
| app_file: app.py | |
| requirements_file: requirements.txt | |
| # MLP Accessibility Score Predictor | |
| This Hugging Face Space hosts a FastAPI application that uses a pre-trained Multi-layer Perceptron (MLP) Regressor to predict urban accessibility scores. The model and its associated imputer are loaded directly from the Hugging Face Hub. | |
| ### How to use: | |
| Send a POST request to the `/predict` endpoint with a JSON body containing the input features for which you want to predict the accessibility score. The expected features are based on the training data and include indicators such as `% ASF (Euclidean)`, `% Built-Up Area`, etc. | |
| **Example Request Body (JSON):** | |
| ```json | |
| { | |
| "perc_ASF_Euclidean": 0.6, | |
| "perc_Built_up_Area": 0.7, | |
| "perc_ASF_Network": 0.55, | |
| "perc_ASFS_from_Buffer_Distance_of_BS": 0.65, | |
| "Overall_Accessibility_Score": 0.62 | |
| } | |
| ``` | |
| (Note: The 'Overall_Accessibility_Score' is the target, but for prediction, you would typically provide values for the features and the model predicts the score. The `app.py` expects individual feature values.) | |
| Access the API endpoint at `https://[your-space-name].hf.space/predict`. | |