End of support notice: On October 31, 2025, AWS
will discontinue support for Amazon Lookout for Vision. After October 31, 2025, you will
no longer be able to access the Lookout for Vision console or Lookout for Vision resources.
For more information, visit this
blog post.
Deleting a model
You can delete a version of a model by using the console or by using the DeleteModel
operation.
You can't delete model version that is running or being trained.
If the model is version running, first use the StopModel
operation to stop the model version.
For more information, see Stopping your Amazon Lookout for Vision model. If a model is training, wait
until it finishes before you delete the model.
It might take a few seconds to delete a model. To determine if a model has been deleted, call
ListProjects and check if the version of the model (ModelVersion
) is in the
Models
array.
Deleting a model (console)
Perform the following steps to delete a model from the console.
To delete a model (console)
Open the Amazon Lookout for Vision console at https://console.aws.amazon.com/lookoutvision/.
Choose Get started.
In the left navigation pane, choose Projects.
On the Projects page, select the project that contains the model that you
want to delete.
In the left navigation pane, choose Models.
On the models view, select the radio button for the model that you want to delete.
Choose Delete at the top of the page.
In the Delete dialog box, enter delete to confirm
that you want to delete the model.
Choose Delete model to delete the model.
Deleting a model (SDK)
Use the following procedure to delete model with the DeleteModel
operation.
To delete a model (SDK)
-
If you haven't already done so, install and configure the AWS CLI and the AWS SDKs. For more information, see
Step 4: Set up the AWS CLI and AWS SDKs.
Use the following example code to delete a model.
- CLI
-
Change the following values:
aws lookoutvision delete-model --project-name project name
\
--model-version model version
\
--profile lookoutvision-access
- Python
-
This code is taken from the AWS Documentation SDK examples GitHub repository. See the full example
here.
@staticmethod
def delete_model(lookoutvision_client, project_name, model_version):
"""
Deletes a Lookout for Vision model. The model must first be stopped and can't
be in training.
:param lookoutvision_client: A Boto3 Lookout for Vision client.
:param project_name: The name of the project that contains the desired model.
:param model_version: The version of the model that you want to delete.
"""
try:
logger.info("Deleting model: %s", model_version)
lookoutvision_client.delete_model(
ProjectName=project_name, ModelVersion=model_version
)
model_exists = True
while model_exists:
response = lookoutvision_client.list_models(ProjectName=project_name)
model_exists = False
for model in response["Models"]:
if model["ModelVersion"] == model_version:
model_exists = True
if model_exists is False:
logger.info("Model deleted")
else:
logger.info("Model is being deleted...")
time.sleep(2)
logger.info("Deleted Model: %s", model_version)
except ClientError:
logger.exception("Couldn't delete model.")
raise
- Java V2
-
This code is taken from the AWS Documentation SDK examples GitHub repository. See the full example
here.
/**
* Deletes an Amazon Lookout for Vision model.
*
* @param lfvClient An Amazon Lookout for Vision client. Returns after the model is deleted.
* @param projectName The name of the project that contains the model that you want to delete.
* @param modelVersion The version of the model that you want to delete.
* @return void
*/
public static void deleteModel(LookoutVisionClient lfvClient,
String projectName,
String modelVersion) throws LookoutVisionException, InterruptedException {
DeleteModelRequest deleteModelRequest = DeleteModelRequest.builder()
.projectName(projectName)
.modelVersion(modelVersion)
.build();
lfvClient.deleteModel(deleteModelRequest);
boolean deleted = false;
do {
ListModelsRequest listModelsRequest = ListModelsRequest.builder()
.projectName(projectName)
.build();
// Get a list of models in the supplied project.
ListModelsResponse response = lfvClient.listModels(listModelsRequest);
ModelMetadata modelMetadata = response.models().stream()
.filter(model -> model.modelVersion().equals(modelVersion)).findFirst()
.orElse(null);
if (modelMetadata == null) {
deleted = true;
logger.log(Level.INFO, "Deleted: Model version {0} of project {1}.",
new Object[] { modelVersion, projectName });
} else {
logger.log(Level.INFO, "Not yet deleted: Model version {0} of project {1}.",
new Object[] { modelVersion, projectName });
TimeUnit.SECONDS.sleep(60);
}
} while (!deleted);
}