# Choices

> UForm for Python

`text_choose(texts, choices, arena)` scores each text's legal single-byte choices through one forward, a softmax over them alone at the calibrated inverse temperature of the text's question type:

```python
probabilities = model.text_choose(["keep this candidate? ", "expand which neighbour? "], ["yn", "ABCD"], arena)
offsets = np.asarray(probabilities.offsets)  # [0, 2, 6]: one float32 per choice, in `choices` order
```

`temperature_groups` names each text's question type, below the model's `choice_temperature_groups`, and `None` puts every text in group zero.
A model without the byte decoder, its `choice_temperature_groups` zero, raises `UnsupportedError`.

`from uform import Choices`

## Choices

Calibrated choices over the byte decoder, read when the weight is positive; every zero derives.

```python
class Choices
```

## Choices

```python
Choices(*, weight: float = 0.0, brier_weight: float = 0.0)
```

## weight

```python
weight: Final[float]
```

## brier_weight

```python
brier_weight: Final[float]
```