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

Creates a data source from a data frame of hand action observations that each contain the locations of each
hand joint and an annotation.

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

## Parameters

`dataFrame `

A data frame that contains the hand-joint locations and annotations for a set of hand
actions.

`sessionIdColumn`

The name of the column in the data frame that contains the session identifiers.

`labelColumn`

The name of the column in the data frame that contains the hand action label names.

`featureColumn`

The name of the column in the data frame that contains the hand-joint location data.
Each entry in the column must be a <doc://com.apple.documentation/documentation/TabularData/ShapedData>
instance that contains three dimensions:

- The first dimension has a size of one.
- The second dimension has three channels: the x-coordinate, the y-coordinate, and the confidence
  value, respectively.
- The third dimension has 21 channels, one for each hand joint.

---

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