The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start and end with double underscores, such as __init__, __getitem__, and __len_ ...

The core of the Python data model architecture is the special methods (also known as 'magic methods'). These methods, which begin and end with double underscores, such as __init__, __getitem__, __len_ ...

There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum ...