Python ModelServiceClient Exemples

Exemple #1

def sample_get_model():
    # Create a client
    client = aiplatform_v1.ModelServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.GetModelRequest(name="name_value", )

    # Make the request
    response = client.get_model(request=request)

    # Handle the response
    print(response)

Exemple #2

Fichier : aiplatform_v1_generated_model_service_list_models_sync.py Projet : morgandu/python-aiplatform

def sample_list_models():
    # Create a client
    client = aiplatform_v1.ModelServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.ListModelsRequest(parent="parent_value", )

    # Make the request
    page_result = client.list_models(request=request)

    # Handle the response
    for response in page_result:
        print(response)

Exemple #3

Fichier : aiplatform_v1_generated_model_service_import_model_evaluation_sync.py Projet : morgandu/python-aiplatform

def sample_import_model_evaluation():
    # Create a client
    client = aiplatform_v1.ModelServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.ImportModelEvaluationRequest(
        parent="parent_value", )

    # Make the request
    response = client.import_model_evaluation(request=request)

    # Handle the response
    print(response)

Exemple #4

def sample_update_model():
    # Create a client
    client = aiplatform_v1.ModelServiceClient()

    # Initialize request argument(s)
    model = aiplatform_v1.Model()
    model.display_name = "display_name_value"

    request = aiplatform_v1.UpdateModelRequest(model=model, )

    # Make the request
    response = client.update_model(request=request)

    # Handle the response
    print(response)

Exemple #5

Fichier : aiplatform_generated_aiplatform_v1_model_service_export_model_sync.py Projet : morgandu/python-aiplatform

def sample_export_model():
    # Create a client
    client = aiplatform_v1.ModelServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.ExportModelRequest(name="name_value", )

    # Make the request
    operation = client.export_model(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Exemple #6

def sample_upload_model():
    # Create a client
    client = aiplatform_v1.ModelServiceClient()

    # Initialize request argument(s)
    model = aiplatform_v1.Model()
    model.display_name = "display_name_value"

    request = aiplatform_v1.UploadModelRequest(
        parent="parent_value",
        model=model,
    )

    # Make the request
    operation = client.upload_model(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)