# `pp_weighted_snv` — Weighted S N V

_Group_: **Signal transforms** · _Binding_: `n4m.sklearn.WeightedSNV` · _C ABI_: `n4m_pp_weighted_snv_*`

## Description

Weighted standard normal variate normalization.

### Parameters

| Name | Type | Default |
|------|------|---------|
| `weights` | `—` | `None` |
| `ddof` | `int` | `0` |
| `eps` | `float` | `1e-12` |

## Explanations

### Bibliographic source

_Standard spectroscopic operator — see the nirs4all preprocessing / augmentation handbook and the cited literature within the binding docstring._

### Mathematical principle

Weighted standard normal variate normalization.

### Implementation

C ABI `n4m_pp_weighted_snv_*` in libn4m (create / apply / destroy lifecycle), wrapped by `n4m.sklearn.WeightedSNV`. The same numerical kernel backs every language binding.

### Usage

```python
from n4m.sklearn import WeightedSNV
op = WeightedSNV()
X_transformed = op.fit_transform(X)
```

---

_See also_: [methods index](index.md) · [interactive dashboard](../landing/dashboard.md)