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# MLHandPoseClassifier.DataSource.labeledKeypointsData(table:sessionIdColumn:labelColumn:featureColumn:)

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

```
case labeledKeypointsData(table: MLDataTable, sessionIdColumn: String = __Defaults.sessionIdColumnName, labelColumn: String = __Defaults.labelColumnName, featureColumn: String = __Defaults.featureColumnName)
```

## Discussion

- table : A data table that contains the hand-joint locations and
  annotations for a set of hand poses.
- sessionIdColumn: The name of the column in the data table that
  contains the session identifiers.
- labelColumn: The name of the column in the data table that
  contains the hand pose label names.
- featureColumn: The name of the column in the data table that
  contains the hand-joint location data. Each entry in the column must
  be an
  <doc://com.apple.documentation/documentation/CoreML/MLMultiArray>
  instance — which you must wrap in an [`MLDataValue.MultiArrayType`](/documentation/CreateML/MLDataValue/MultiArrayType)
  — 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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