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# MLActionClassifier.DataSource.labeledKeypointsDataFrame(_:sessionIdColumn:labelColumn:featureColumn:)

A data source made up of keypoints in a data frame.

```
case labeledKeypointsDataFrame(DataFrame, sessionIdColumn: String = __Defaults.sessionIdColumnName, labelColumn: String = __Defaults.labelColumnName, featureColumn: String = __Defaults.featureColumnName)
```

## Parameters

`dataFrame`

A `DataFrame` containing keypoints and labels.

`sessionIdColumn`

The name of the column containing session identifiers. Defaults to “session_id”.

`labelColumn`

The name of the column containing the labels. Defaults to “label”.

`featureColumn`

The name of the column containing the keypoints. Defaults to “keypoints”.

## Discussion

The data frame must contain a column of session identifiers, a column of labels, and a column of keypoints.
Each set of keypoints must be a multi-dimensional `1x3x18` array that contains the x, y, and z coordinates of each
of the 18 keypoints. See `VNRecognizedPointsObservation` for more details.

---

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