AnaLazy is a graphical web or desktop application which enables analysts to train a machine learning model off of a spreadsheet of training data and then make useful predictions, all without having to write a single line of code. AnaLazy also has a built-in data quality analysis tool to allow you to ensure your data is up to par before training a model with it.
Download the code from the GitHub repository and install all dependencies by cding to AnaLazy's root directory and
pip install -r requirements.txtThen create internal directories for backend use
mkdir uploads
mkdir modelsNavigate in a terminal to the root of the folder with the AnaLazy app code.
To run AnaLazy in the standard configuration (GUI will automatically open)
python index.pyUse the --web flag to open app in default browser instead of as a standalone GUI and the --debug flag to enable hot reloading and disable automatic page opening on restart.
| Home Page | Upload Page |
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| Quality Analysis Page | Train Page |
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| Models Page |
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Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.