# FindMatches class
<a name="glue-etl-scala-apis-glue-ml-findmatches"></a>

**Package: com.amazonaws.services.glue.ml**

```
object FindMatches
```

## Def apply
<a name="glue-etl-scala-apis-glue-ml-findmatches-defs-apply"></a>

```
def apply(frame: DynamicFrame,
            transformId: String,
            transformationContext: String = "",
            callSite: CallSite = CallSite("Not provided", ""),
            stageThreshold: Long = 0,
            totalThreshold: Long = 0,
            enforcedMatches: DynamicFrame = null): DynamicFrame,
			computeMatchConfidenceScores: Boolean
```

Find matches in an input frame and return a new frame with a new column containing a unique ID per match group.
+ `frame` — The DynamicFrame in which to find matches. Required.
+ `transformId` — A unique ID associated with the FindMatches transform to apply on the input frame. Required.
+ `transformationContext` — Identifier for this `DynamicFrame`. The `transformationContext` is used as a key for the job bookmark state that is persisted across runs. Optional.
+ `callSite` — Used to provide context information for error reporting. These values are automatically set when calling from Python. Optional.
+ `stageThreshold` — The maximum number of error records allowed from the computation of this `DynamicFrame` before throwing an exception, excluding records present in the previous `DynamicFrame`. Optional. The default is zero.
+ `totalThreshold` — The maximum number of total errors records before an exception is thrown, including those from previous frames. Optional. The default is zero.
+ `enforcedMatches` — The frame for enforced matches. Optional. The default is `null`.
+ `computeMatchConfidenceScores` — A Boolean value indicating whether to compute a confidence score for each group of matching records. Optional. The default is false.

Returns a new dynamic frame with a unique identifier assigned to each group of matching records.