> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# How do I fix an `anaconda 400 error` during a sweep?

An `anaconda 400 error` during a sweep often means you didn't log the metric you're optimizing. You might see:

```text theme={null}
wandb: ERROR Error while calling W&B API: anaconda 400 error:
{"code": 400, "message": "TypeError: bad operand type for unary -: 'NoneType'"}
```

The sweep controller can't find the metric it needs to compare runs. Log the exact metric named in your sweep configuration. For example, if your sweep config specifies:

```yaml theme={null}
metric:
  name: validation_loss
  goal: minimize
```

Add a matching `wandb.log` call in your training loop:

```python theme={null}
# After you compute validation_loss for an epoch or step:
# wandb.log({"validation_loss": value})
```

The metric name must match exactly between your sweep configuration and your `wandb.log` call.

For more information, see [Sweeps troubleshooting](/models/sweeps/troubleshoot-sweeps/) and [Define sweep configuration](/models/sweeps/define-sweep-configuration/).

***

<Badge stroke shape="pill" color="orange" size="md">[Sweeps](/support/models/tags/sweeps)</Badge><Badge stroke shape="pill" color="orange" size="md">[Metrics](/support/models/tags/metrics)</Badge>