| Package | Description |
|---|---|
| com.amazonaws.services.rekognition.model |
| Modifier and Type | Method and Description |
|---|---|
TestingData |
TestingData.clone() |
TestingData |
TestingDataResult.getInput()
The testing dataset that was supplied for training.
|
TestingData |
TestingDataResult.getOutput()
The subset of the dataset that was actually tested.
|
TestingData |
CreateProjectVersionRequest.getTestingData()
Specifies an external manifest that the service uses to test the model.
|
TestingData |
TestingData.withAssets(Asset... assets)
The assets used for testing.
|
TestingData |
TestingData.withAssets(Collection<Asset> assets)
The assets used for testing.
|
TestingData |
TestingData.withAutoCreate(Boolean autoCreate)
If specified, Amazon Rekognition Custom Labels temporarily splits the training dataset (80%) to create a test
dataset (20%) for the training job.
|
| Modifier and Type | Method and Description |
|---|---|
void |
TestingDataResult.setInput(TestingData input)
The testing dataset that was supplied for training.
|
void |
TestingDataResult.setOutput(TestingData output)
The subset of the dataset that was actually tested.
|
void |
CreateProjectVersionRequest.setTestingData(TestingData testingData)
Specifies an external manifest that the service uses to test the model.
|
TestingDataResult |
TestingDataResult.withInput(TestingData input)
The testing dataset that was supplied for training.
|
TestingDataResult |
TestingDataResult.withOutput(TestingData output)
The subset of the dataset that was actually tested.
|
CreateProjectVersionRequest |
CreateProjectVersionRequest.withTestingData(TestingData testingData)
Specifies an external manifest that the service uses to test the model.
|
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