Tugas AI Platform - Prediction memungkinkan Anda membuat dan mengirimkan tugas Prediksi batch ke layanan Cloud AI Platform Prediction. Gunakan layanan Prediksi batch jika Anda tidak memerlukan prediksi secara langsung, atau jika Anda memiliki banyak instance untuk diprediksi. AI Platform Prediction hanya mendukung pengambilan prediksi Batch dari model TensorFlow.
AI Platform Prediction adalah layanan Google Cloud yang memungkinkan Anda menjalankan prediksi berdasarkan model terlatih, baik model tersebut dilatih di AI Platform atau tidak.
Sebelum memulai
Pastikan Anda melakukan tugas berikut di project Google Cloud sebelum mengonfigurasi tugas AI Platform - Prediction:
Aktifkan Platform Training & Prediction API (ml.googleapis.com).
Buat profil autentikasi. Integrasi Aplikasi menggunakan profil autentikasi untuk terhubung ke endpoint autentikasi untuk tugas AI Platform - Prediction.
Mengonfigurasi tugas AI Platform - Prediction
Di konsol Google Cloud , buka halaman Application Integration.
Halaman Integrasi akan muncul dan mencantumkan semua integrasi yang tersedia di project Google Cloud.
Pilih integrasi yang ada atau klik Buat integrasi untuk membuat integrasi baru.
Jika Anda membuat integrasi baru:
Masukkan nama dan deskripsi di panel Buat Integrasi.
Pilih region untuk integrasi.
Pilih akun layanan untuk integrasi. Anda dapat mengubah atau memperbarui detail akun layanan integrasi kapan saja dari panel infoRingkasan integrasi di toolbar integrasi.
Klik Buat. Integrasi yang baru dibuat akan terbuka di editor integrasi.
Di menu navigasi editor integrasi, klik Tugas untuk melihat daftar tugas dan konektor yang tersedia.
Klik dan tempatkan elemen AI Platform - Prediction di editor integrasi.
Klik elemen AI Platform - Prediction di perancang untuk melihat panel konfigurasi tugas AI Platform - Prediction.
Buka Authentication, lalu pilih profil autentikasi yang ada yang ingin Anda gunakan.
Opsional. Jika Anda belum membuat profil autentikasi sebelum mengonfigurasi tugas, klik + Profil autentikasi baru dan ikuti langkah-langkah seperti yang disebutkan dalam Membuat profil autentikasi baru.
Buka Input Tugas, lalu konfigurasi kolom input yang ditampilkan menggunakan tabel Parameter input tugas berikut.
Perubahan pada kolom input akan disimpan secara otomatis.
Parameter input tugas
Tabel berikut menjelaskan parameter input tugas AI Platform - Prediction:
Properti
Jenis data
Deskripsi
Wilayah
String
Wilayah tempat Anda ingin menjalankan tugas prediksi. Misalnya, us-central1.
Tugas AI Platform - Prediction menampilkan instance tugas yang baru dibuat.
Strategi penanganan error
Strategi penanganan error untuk tugas menentukan tindakan yang harus dilakukan jika tugas gagal karena error sementara. Untuk mengetahui informasi tentang cara menggunakan strategi penanganan error, dan untuk mengetahui berbagai jenis strategi penanganan error, lihat Strategi penanganan error.
Kuota dan batas
Untuk mengetahui informasi tentang kuota dan batas, lihat Kuota dan batas.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-03 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)."]]
