# Model Risk Profiler

## Overview
The Model Risk Profiler is a Python tool designed to help AI developers evaluate and quantify the risk of unintended consequences in their models. By running systematic tests across edge cases, adversarial inputs, and ethical considerations, it generates a risk profile that highlights vulnerabilities and provides actionable insights.

## Features
- **Edge Case Evaluation**: Simulates edge case inputs to evaluate model behavior.
- **Adversarial Input Evaluation**: Simulates adversarial inputs to test model robustness.
- **Risk Profile Generation**: Produces a comprehensive JSON report summarizing the evaluations.

## Installation
Install the required dependencies:

```bash
pip install numpy
```

## Usage
Run the tool using the command line:

```bash
python model_risk_profiler.py --model_path <path_to_model> --report_path <path_to_report> [--test_config <path_to_test_config>]
```

### Arguments
- `--model_path`: Path to the serialized model file (pickle format).
- `--report_path`: Path to save the risk profile report (JSON format).
- `--test_config`: Optional JSON file for test configurations.

## Example
```bash
python model_risk_profiler.py --model_path model.pkl --report_path risk_profile.json --test_config test_config.json
```

## Testing
Run the tests using pytest:

```bash
pytest test_model_risk_profiler.py
```

## License
This project is licensed under the MIT License.