# QuantileGAMResult


Result container for a fitted QuantileGAM.


Usage

``` python
QuantileGAMResult(
    quantiles,
    models,
    coefficients,
)
```


Bundles the per-quantile fitted [GAM](GAM.md#whittaker.GAM) objects and coefficient vectors produced by [QuantileGAM.fit()](QuantileGAM.md#whittaker.QuantileGAM.fit), keyed by the quantile level [tau](QuantileFamily.md#whittaker.QuantileFamily.tau) they estimate.


## Attributes


`quantiles: list[float]`  
Sorted quantile levels, each in `(0, 1)`.

`models: dict[float, GAM]`  
Dict mapping `tau -> fitted GAM`, one GAM per quantile level, each fit with the expectile/quantile loss family for that [tau](QuantileFamily.md#whittaker.QuantileFamily.tau).

`coefficients: dict[float, NDArray]`  
Dict mapping `tau -> coefficient vector`, the fitted basis coefficients for each quantile's model.