EdgeModel

```
public interface EdgeModel

                    
```
A helper class to load and run Edge Store Models.
Following options are available to load models:
EdgeModel.fromFile
EdgeModel.fromAsset
EdgeModel.fromInputStream
Use run method to perform inference on the models.

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description
`public class`	`EdgeModel.Companion`

Method Summary

Modifier and Type	Method	Description
`abstract Recognitions`	`run(List<Object> inputs)`	Run inference on the edge models.
`abstract Unit`	`resetStats()`
`abstract Unit`	`close()`
`abstract ModelStats`	`getModelStats()`
`abstract Unit`	`setModelStats(ModelStats modelStats)`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - run
```
 abstract Recognitions run(List<Object> inputs)
```
    Run inference on the edge models. Pack the input data in a list and pass it as argument. The input data depends on the type of model. If for example a vision based model then input data will be a bitmap image. So for that we will pass in listOf(bitmap).
    
    Parameters:
    
    inputs - List of inputs accepted by the model.
  - resetStats
```
 abstract Unit resetStats()
```
  - close
```
 abstract Unit close()
```
  - getModelStats
```
 abstract ModelStats getModelStats()
```
  - setModelStats
```
 abstract Unit setModelStats(ModelStats modelStats)
```