Welcome to the Machine Learning Evaluation Dashboard template provided by Lazy. This template is designed to help you evaluate machine learning models with ease. It features a customizable Streamlit dashboard that allows for interactive elements and real-time visualizations. With this template, you can upload datasets, run them through pre-trained machine learning models, and analyze the results using dynamic charts and confusion matrices.
To begin using this template, simply click on "Start with this Template" on the Lazy platform. This will pre-populate the code in the Lazy Builder interface, so you won't need to copy, paste, or delete any code.
Once you have started with the template, you can deploy the app by pressing the "Test" button. This will begin the deployment process and launch the Lazy CLI. The Lazy platform handles all the deployment details, so you don't need to worry about installing libraries or setting up your environment.
After pressing the "Test" button, if the app requires user input, the Lazy App's CLI interface will appear, prompting you to provide the necessary input. Follow the instructions in the CLI to enter the required information.
After deployment, you will be able to interact with the Machine Learning Evaluation Dashboard. Here's how to use the interface:
The dashboard will display a confusion matrix and a classification report based on the predictions made by the selected model. You can also view dynamic charts that update in real-time as you adjust the parameters.
If you need to integrate this dashboard into another service or frontend, you may need to use the dedicated server link provided by Lazy. This link can be used to access the dashboard from other tools or services. If the app uses an API, Lazy will also provide a link to interact with the API, and if it's a FastAPI, a docs link will be included for documentation purposes.
Remember, all the necessary steps to run and integrate the template are handled within the Lazy platform. There's no need for additional setup unless specified by the template's requirements.
If you encounter any issues or need further assistance, refer to the documentation provided in the code or reach out to Lazy's customer support for help.
Happy building with Lazy!