PyCaret 2.1 is now available. Click here to see release notes. Documentation on the website is only updated for major releases. To see the latest documentation, Click Here


PyCaret is a deployment ready Python library which means that as you perform an experiment, all steps are automatically saved in a pipeline which can be deployed into production with ease. PyCaret automatically orchestrates all dependencies in a pipeline. Once a pipeline is developed, it can be transferred to another environment to run at scale. All preprocessing and the data preparation tasks are part of a pipeline in PyCaret which is developed when you initialize the experiment using setup.


Preprocessing Steps