A tarefa AI Platform - Prediction permite criar e enviar um job de previsão em lote para o serviço Cloud AI Platform Prediction. Use o serviço de previsão em lote quando não precisar das previsões imediatamente ou quando tiver muitas instâncias para usar a previsão. O AI Platform Prediction é compatível apenas com previsões em lote de modelos do TensorFlow.
O AI Platform Prediction é um serviço do Google Cloud que permite exibir previsões com base em um modelo treinado no AI Platform ou não.
Antes de começar
Execute as seguintes tarefas no projeto do Google Cloud antes de configurar a tarefa AI Platform - Prediction:
Ative a API Platform Training & Prediction (ml.googleapis.com).
Criar um perfil de autenticação. Application Integration usa um perfil de autenticação para se conectar a um endpoint de autenticação para a tarefa AI Platform - Prediction.
Configurar a tarefa "AI Platform - Prediction"
No console Google Cloud , acesse a página Application Integration.
A página Integrações aparece listando todas as integrações disponíveis no projeto do Google Cloud.
Selecione uma integração ou clique em Criar integração para criar uma.
Caso você esteja criando uma nova integração, siga estas etapas:
Digite um nome e uma descrição no painel Criar integração.
Selecione uma região para a integração.
Selecione uma conta de serviço para a integração. É possível mudar ou atualizar os detalhes da conta de serviço de uma integração a qualquer momento no painel Resumo da integraçãoinfo na barra de ferramentas de integração.
Clique em Criar. A integração recém-criada é aberta no editor de integração.
Na barra de navegação do editor de integração, clique em Tarefas para conferir a lista de tarefas e conectores disponíveis.
Clique e coloque o elemento AI Platform - Prediction no editor de integração.
Clique no elemento AI Platform - Prediction no designer para ver o painel de configuração de tarefas AI Platform - Prediction.
Acesse Autenticação e selecione o perfil de autenticação que você quer usar.
Opcional. Se você não tiver criado um perfil de autenticação antes de configurar a tarefa, clique em + Novo perfil de autenticação e siga as etapas em Criar um novo perfil de autenticação.
A tarefa AI Platform - Prediction retorna a instância recém-criada do job.
Estratégia de solução de erros
A estratégia de solução de erros para uma tarefa especifica a ação a ser realizada se a tarefa falhar
devido a um erro temporário. Para mais informações sobre como usar uma estratégia de tratamento de erros e conhecer os diferentes tipos de estratégias de tratamento de erros, consulte Estratégias de tratamento de erros.
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-08-25 UTC."],[[["\u003cp\u003eThe AI Platform - Prediction task enables the creation and submission of Batch prediction jobs to the Cloud AI Platform Prediction service, which is useful when predictions are not needed immediately or when processing numerous instances.\u003c/p\u003e\n"],["\u003cp\u003eBefore configuring the AI Platform - Prediction task, users must enable the Platform Training & Prediction API and create an authentication profile with the required \u003ccode\u003eml.jobs.create\u003c/code\u003e IAM permission.\u003c/p\u003e\n"],["\u003cp\u003eConfiguration of the AI Platform - Prediction task involves selecting or creating an authentication profile and defining input parameters such as Region, ProjectsId, and Request in the task configuration pane.\u003c/p\u003e\n"],["\u003cp\u003eThe task input parameters are used to designate the region for running the job, the google cloud project ID and the JSON request structure for the prediction.\u003c/p\u003e\n"],["\u003cp\u003eThe output of the AI Platform - Prediction task is a new instance of the prediction job, with options to implement error handling strategies and to review the available quotas and limits.\u003c/p\u003e\n"]]],[],null,["# AI Platform - Prediction task\n\nSee the [supported connectors](/integration-connectors/docs/connector-reference-overview) for Application Integration.\n\nAI Platform - Prediction task\n=============================\n\n|\n| **Preview**\n|\n|\n| This feature is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section\n| of the [Service Specific Terms](/terms/service-terms#1).\n|\n| Pre-GA features are available \"as is\" and might have limited support.\n|\n| For more information, see the\n| [launch stage descriptions](/products#product-launch-stages).\n\nThe **AI Platform - Prediction** task lets you create and submit a Batch prediction job to the Cloud AI Platform Prediction service. Use the Batch prediction service when you don't need your predictions right away, or when you have many instances to get predict. AI Platform Prediction only supports getting Batch predictions from TensorFlow models.\n\n[AI Platform Prediction](/ai-platform/docs/technical-overview) is a Google Cloud service that allows you to serve predictions based on a trained model, whether or not the model was trained on AI Platform.\n\nBefore you begin\n----------------\n\nEnsure that you perform the following tasks in your Google Cloud project before configuring the **AI Platform - Prediction** task:\n\n1. Enable the Platform Training \\& Prediction API (`ml.googleapis.com`).\n\n\n [Enable the Platform Training \\& Prediction API](https://console.cloud.google.com/flows/enableapi?apiid=ml.googleapis.com)\n2. Create an [authentication profile](/application-integration/docs/configuring-auth-profile#createAuthProfile). Application Integration uses an authentication profile to connect to an authentication endpoint for the **AI Platform - Prediction** task. **Note:** If you're creating an authentication profile of [Service account](/application-integration/docs/configure-authentication-profiles#service-account) type, then ensure that the service account is assigned with the IAM role that contains the following IAM permission(s):\n | - `ml.jobs.create`\n |\n | To know about IAM permissions and the predefined IAM roles that grant them, see [IAM permissions reference](/iam/docs/permissions-reference#search).\n |\n | For information about granting additional roles or permissions to a service account, see [Granting, changing, and revoking access](/iam/docs/granting-changing-revoking-access).\n\nConfigure the AI Platform - Prediction task\n-------------------------------------------\n\n1. In the Google Cloud console, go to the **Application Integration** page.\n\n [Go to Application Integration](https://console.cloud.google.com/integrations)\n2. In the navigation menu, click **Integrations** .\n\n\n The **Integrations** page appears listing all the integrations available in the Google Cloud project.\n3. Select an existing integration or click **Create integration** to create a new one.\n\n\n If you are creating a new integration:\n 1. Enter a name and description in the **Create Integration** pane.\n 2. Select a region for the integration. **Note:** The **Regions** dropdown only lists the regions provisioned in your Google Cloud project. To provision a new region, click **Enable Region** . See [Enable new region](/application-integration/docs/enable-new-region) for more information.\n 3. Select a service account for the integration. You can change or update the service account details of an integration any time from the info **Integration summary** pane in the integration toolbar. **Note:** The option to select a service account is displayed only if you have enabled integration governance for the selected region.\n 4. Click **Create** . The newly created integration opens in the *integration editor*.\n\n\n4. In the *integration editor* navigation bar, click **Tasks** to view the list of available tasks and connectors.\n5. Click and place the **AI Platform - Prediction** element in the integration editor.\n6. Click the **AI Platform - Prediction** element on the designer to view the **AI Platform - Prediction** task configuration pane.\n7. Go to **Authentication** , and select an existing authentication profile that you want to use.\n\n Optional. If you have not created an authentication profile prior to configuring the task, Click **+ New authentication profile** and follow the steps as mentioned in [Create a new authentication profile](/application-integration/docs/configuring-auth-profile#createAuthProfile).\n8. Go to **Task Input** , and configure the displayed inputs fields using the following [Task input parameters](#params) table.\n\n Changes to the inputs fields are saved automatically.\n\nTask input parameters\n---------------------\n\n\nThe following table describes the input parameters of the **AI Platform - Prediction** task:\n\nTask output\n-----------\n\nThe **AI Platform - Prediction** task returns the newly created instance of the job.\n\nError handling strategy\n-----------------------\n\n\nAn error handling strategy for a task specifies the action to take if the task fails due to a [temporary error](/application-integration/docs/error-handling). For information about how to use an error handling strategy, and to know about the different types of error handling strategies, see [Error handling strategies](/application-integration/docs/error-handling-strategy).\n\nQuotas and limits\n-----------------\n\nFor information about quotas and limits, see [Quotas and limits](/application-integration/docs/quotas).\n\nWhat's next\n-----------\n\n- Add [edges and edge conditions](/application-integration/docs/edge-overview).\n- [Test and publish](/application-integration/docs/test-publish-integrations) your integration.\n- Configure a [trigger](/application-integration/docs/how-to-guides#configure-triggers).\n- Add a [Data Mapping task](/application-integration/docs/data-mapping-task).\n- See [all tasks for Google Cloud services](/application-integration/docs/how-to-guides#configure-tasks-for-google-cloud-services)."]]
