# `Vllm.Outputs.ClassificationOutput`
[🔗](https://github.com/nshkrdotcom/vllm/blob/v0.3.0/lib/snakebridge_generated/vllm/outputs/classification_output.ex#L7)

The output data of one classification output of a request.

## Parameters

- `probs` - The probability vector, which is a list of floats. Its length depends on the number of classes.

# `t`

```elixir
@opaque t()
```

# `from_base`

```elixir
@spec from_base(SnakeBridge.Ref.t(), Vllm.Outputs.PoolingOutput.t(), keyword()) ::
  {:ok, term()} | {:error, Snakepit.Error.t()}
```

Python method `ClassificationOutput.from_base`.

## Parameters

- `pooling_output` (Vllm.Outputs.PoolingOutput.t())

## Returns

- `term()`

# `new`

```elixir
@spec new(
  [float()],
  keyword()
) :: {:ok, SnakeBridge.Ref.t()} | {:error, Snakepit.Error.t()}
```

Initialize self.  See help(type(self)) for accurate signature.

## Parameters

- `probs` (list(float()))

# `num_classes`

```elixir
@spec num_classes(SnakeBridge.Ref.t()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
```

---

*Consult [api-reference.md](api-reference.md) for complete listing*