File size: 1,237 Bytes
8875567 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 |
---
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`.
|