---
title: "MLActionClassifier.DataSource.labeledKeypointsDataFrame(_:sessionIdColumn:labelColumn:featureColumn:)"
framework: createml
role: symbol
role_heading: Case
path: "createml/mlactionclassifier/datasource/labeledkeypointsdataframe(_:sessionidcolumn:labelcolumn:featurecolumn:)"
---

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

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

## Declaration

```swift
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

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.

## See Also

### Extracting key points

- [extractKeypoints(targetFrameRate:)](createml/mlactionclassifier/datasource/extractkeypoints(targetframerate:).md)
- [MLActionClassifier.DataSource.labeledKeypointsData(table:sessionIdColumn:labelColumn:featureColumn:)](createml/mlactionclassifier/datasource/labeledkeypointsdata(table:sessionidcolumn:labelcolumn:featurecolumn:).md)
- [MLActionClassifier.DataSource.labeledVideoDataFrame(_:videoColumn:labelColumn:startTimeColumn:endTimeColumn:)](createml/mlactionclassifier/datasource/labeledvideodataframe(_:videocolumn:labelcolumn:starttimecolumn:endtimecolumn:).md)