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# MLSplitStrategy

Data partitioning approaches, typically for creating a validation dataset
from a training dataset.

```
enum MLSplitStrategy
```

## Topics

### Partitioning data

[`MLSplitStrategy.automatic`](/documentation/CreateML/MLSplitStrategy/automatic)

Create ML automatically decides how much of your training dataset it uses for a validation dataset.

[`MLSplitStrategy.fixed(ratio:seed:)`](/documentation/CreateML/MLSplitStrategy/fixed(ratio:seed:))

Create ML uses a portion of your training dataset to create a validation dataset based on the ratio.

[`resolve(count:)`](/documentation/CreateML/MLSplitStrategy/resolve(count:))

Resolves this split strategy for a specific element count.

### Creating a random seed

[`timestampSeed()`](/documentation/CreateML/timestampSeed())

Returns a number based on the current system time.


---

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