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

# Create TrainingSets

A `TrainingSet` is a versioned set of data, column information, and other metadata. `TrainingSets` are created implicitly when the first `TrainingSetVersion` with a particular `training_set_name` are added using the `create_training_set_version` function.

A `TrainingSet` can include versions from the same project. Attempting to add a version from a different project can result in an error.

`TrainingSet` names are strings containing only alphanumeric characters in the basic Latin alphabet including dash and underscore: `[-A-Za-z_-]`

```python theme={null}
from domino.training_sets import TrainingSetClient, model

training_set_version = TrainingSetClient.create_training_set_version(
    training_set_name=training_set_name,
    df=my_pandas_dataframe,
    key_columns=["user_id", "transaction_id"],
    target_columns=["is_fraud"],
    exclude_columns=["extra_column1", "extra_column2"],
    monitoring_meta=model.MonitoringMeta(
        timestamp_columns=["ts"],
        categorical_columns=["categorical_column1", "categorical_column2"],
        ordinal_columns=["ordinal_column1"],
    ),
    meta={"year": "2021"}
)
```

<Note>
  To use a `TrainingSet` for model monitoring the `monitoring_meta` keyword argument must have a value for classification models. You can create a `TrainingSet` without this argument, but it can not be used until the argument has a value. Trying to register a Domino endpoint for monitoring, from the **Grafana Monitoring** tab for that Domino endpoint, with a null `monitoring_meta` value displays the following error: `The selected Feature Set Version cannot currently be used for monitoring because it does not contain a schema definition.`
</Note>