# StreamingSnapshot


A snapshot of streaming GAM state at a point in time.


Usage

``` python
StreamingSnapshot(
    n_obs,
    n_batches,
    coefficients,
    smoothing_params,
    edf_total,
    scale,
    deviance,
)
```


Appended to [StreamingGAM](StreamingGAM.md#whittaker.StreamingGAM)'s history every time [solve()](StreamingGAM.md#whittaker.StreamingGAM.solve) is called, letting you track how coefficients, smoothing parameters, and fit diagnostics evolve as more batches of data arrive. Retrieved via [StreamingGAM.smoothing_history()](StreamingGAM.md#whittaker.StreamingGAM.smoothing_history).


## Attributes


`n_obs: int`  
Total (possibly decayed, under sliding-window mode) observation count at the time of this [solve()](StreamingGAM.md#whittaker.StreamingGAM.solve) call.

`n_batches: int`  
Number of batches processed so far.

`coefficients: NDArray`  
Coefficient estimates at this solve.

`smoothing_params: list[float]`  
Smoothing parameters used for this solve.

`edf_total: float`  
Total effective degrees of freedom at this solve.

`scale: float`  
Estimated scale (dispersion) parameter at this solve.

`deviance: float`  
Accumulated (possibly decayed) deviance at this solve.