<!--
{
  "availability" : [
    "macOS: 13.0.0 -"
  ],
  "documentType" : "symbol",
  "framework" : "CreateML",
  "identifier" : "/documentation/CreateML/MLRecommender/init(trainingData:userColumn:itemColumn:ratingColumn:parameters:)",
  "metadataVersion" : "0.1.0",
  "role" : "Initializer",
  "symbol" : {
    "kind" : "Initializer",
    "modules" : [
      "Create ML"
    ],
    "preciseIdentifier" : "s:8CreateML13MLRecommenderV12trainingData10userColumn04itemG006ratingG010parametersAC07TabularE00E5FrameV_S3SSgAC15ModelParametersVtKcfc::OverloadGroup"
  },
  "title" : "init(trainingData:userColumn:itemColumn:ratingColumn:parameters:)"
}
-->

# init(trainingData:userColumn:itemColumn:ratingColumn:parameters:)

Creates an instance given a table and the names of the item and user columns contained therein.

```
init(trainingData: DataFrame, userColumn: String, itemColumn: String, ratingColumn: String? = nil, parameters: MLRecommender.ModelParameters = ModelParameters(nearestItems: nil)) throws
```

## Parameters

`trainingData`

A data frame containing training data.

`userColumn`

Name of the Int or String typed column in the training data containing user identifiers.

`itemColumn`

Name of the Int or String typed column in the training data containing item identifiers.

`ratingColumn`

Name of an Int or Double typed column optionally in the training data containing scores or
ratings. The default is nil, which corresponds to no rating column.

`parameters`

Model training parameters.

---

Copyright &copy; 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)