## summaries.register_glance()


Register a [glance](glance.md#greenwood.glance) adapter for a model class.


Usage

``` python
summaries.register_glance(
    class_path,
    fn,
)
```


This is the extension point for adding [glance()](glance.md#greenwood.glance) support to new estimator classes. Each adapter is a callable that accepts a fitted model and returns a one-row summary DataFrame with model-level statistics (e.g., log-likelihood, AIC, number of observations).


## Parameters


`class_path: str`  
Fully qualified class name used as the registry key, e.g., `"greenwood._cox.CoxPH"`.

`fn: Tidier`  
Callable with signature `fn(model, *, format=None, **kwargs) -> DataFrame`.


## Examples

Register a custom glance adapter:


``` python
from greenwood.summaries import register_glance

# Define a glance adapter that returns model-level statistics
def _glance_my_model(model, *, format=None, **kwargs):
    from greenwood._backends import to_dataframe

    return to_dataframe({"n": [model.n_], "loglik": [model.loglik_]}, format=format)

# Register the adapter for the custom model class
register_glance("mypackage.MyModel", _glance_my_model)
```