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

# train_end_offset

#### `train_end_offset: <integer>` (Optional)

## Description

Defines the numerical offset from the most recent entry to not use to generate training data labels. Unless a custom time unit is specified in the aggregation, this value is in `days`. This can be used to make sure the query does not generate labels on data from the last `train_end_offset` days. Regardless of this value, all data is used as an input to the model, but this value can help limit what labels are generated.

* `train_end_offset`must be > `0`.
* If used at the same time as `train_start_offset`, `train_end_offset` should be strictly smaller.

### Supported Task Types

* Temporal

### Example 1

For example, you may want to only use training examples for customers that have churned before the last year, but those customers may have some data in the last year as well (e.g. because they might have returned significantly later).

<CodeGroup>
  ```yaml Field theme={null}
  train_end_offset: <integer>
  train_end_offset: 10 # Do not train on data from the last 10 days
  train_end_offset: 365 # Do not train on data from the last year
  ```
</CodeGroup>

This only applies to temporal queries (queries that include a temporal aggregation such as `SUM(TRANSACTIONS.AMOUNT, 0, 2, days)`) The unit of this step is the same as the unit in the aggregation.

### Example 2

For example, for the query

<CodeGroup>
  ```yaml Field theme={null}
  PREDICT SUM(transactions.price, 0, 30, days)
  FOR EACH customers.customer_id
  ```
</CodeGroup>

The value of `train_end_offset` will be in `days`. For example, if set to `10`, the training table will exclude entries from the last 10 days (only labels older than 10 days before the most recent data will be used for training).

### Default Values

| run\_mode | Default Value |
| --------- | ------------- |
| FAST      | 0             |
| NORMAL    | 0             |
| BEST      | 0             |