> For the complete documentation index, see [llms.txt](https://aizen-corp.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aizen-corp.gitbook.io/docs/model-building-commands/training-commands/configure-training.md).

# configure training

The `configure training` command configures a training experiment. In the notebook, you will be guided through a template form that will prompt you for various inputs, such as the experiment name, the ML model name, whether the experiment is Deep Learning or Machine Learning, and other parameters.

## Syntax

```
configure training
```

## Parameters

To create a new training experiment:

1. Select **New** from the **Training Experiment** drop-down list.
2. Specify a name for the training experiment.
3. Specify a model name.
4. Select the type of training: **Machine Learning** or **Deep Learning**.
5. Select the input dataset name.
6. Remove any dataset features that are not needed.
7. Specify the output feature.
8. Click the **Save Configuration** button to save the training configuration.

## Example

<figure><img src="/files/iAkqzvWxn7kr2thxw0Ir" alt=""><figcaption></figcaption></figure>


---

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