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# MLCreateError

The errors Create ML throws while performing various operations, such as
training models, making predictions, writing models to a file system, and so
on.

```
enum MLCreateError
```

## Topics

### Identifying errors

[`MLCreateError.cancelled`](/documentation/CreateML/MLCreateError/cancelled)

An error that indicates you canceled the training session.

[`MLCreateError.incompatibleParameters(parameter:originalValue:newValue:)`](/documentation/CreateML/MLCreateError/incompatibleParameters(parameter:originalValue:newValue:))

An error that indicates the training session parameters are
incompatible.

[`MLCreateError.modifiedTrainingData`](/documentation/CreateML/MLCreateError/modifiedTrainingData)

An error that indicates the training data is different from the data
when you created the session.

[`MLCreateError.io(reason:)`](/documentation/CreateML/MLCreateError/io(reason:))

An error that indicates an I/O failure.

[`MLCreateError.type(reason:)`](/documentation/CreateML/MLCreateError/type(reason:))

An error that indicates a missing or incorrect type.

[`MLCreateError.generic(reason:)`](/documentation/CreateML/MLCreateError/generic(reason:))

An error that indicates a failure not covered by one of the other
errors.

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

A global constant that defines the domain for Create ML errors.

### Describing errors

[`description`](/documentation/CreateML/MLCreateError/description)

A human-readable description of the error.

[`debugDescription`](/documentation/CreateML/MLCreateError/debugDescription)

A human-readable description of the error that’s suitable for output
during debugging.

### Describing errors in a user interface

[`errorCode`](/documentation/CreateML/MLCreateError/errorCode)

The numeric code of this error.

[`errorUserInfo`](/documentation/CreateML/MLCreateError/errorUserInfo)

A dictionary that provides additional information about the error.

[`errorDescription`](/documentation/CreateML/MLCreateError/errorDescription)

A localized, human-readable description of the error and why it
occurred, if applicable.

[`failureReason`](/documentation/CreateML/MLCreateError/failureReason)

A localized, human-readable reason behind the failure, if applicable.


---

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