Google Cloud AutoML

Google Cloud AutoML enables developers with limited machine learning expertise to train high-quality custom models. It provides a suite of products for training custom ML models for translation, natural language, vision, video intelligence, and tabular data using transfer learning and neural architecture search.

1 APIs 0 Features

AutoMLCustom ModelsGoogle CloudMachine LearningTraining

APIs

Google Cloud AutoML API

Trains and deploys custom machine learning models for translation, natural language, vision, and tabular data using Google's transfer learning and AutoML technology.

Collections

Google Cloud AutoML API

OPEN

Pricing Plans

Google Cloud Automl Plans Pricing

3 plans

PLANS

Rate Limits

Google Cloud Automl Rate Limits

5 limits

RATE LIMITS

FinOps

Google Cloud Automl Finops

FINOPS

Semantic Vocabularies

context Context

12 classes · 0 properties

JSON-LD

Resources

👥

GitHubOrganization

Sources

opencollection: 1.0.0
info:
  name: Google Cloud AutoML API
  version: v1
items:
- info:
    name: Projects
    type: folder
  items:
  - info:
      name: Google Cloud AutoML List datasets
      type: http
    http:
      method: GET
      url: https://automl.googleapis.com/v1/projects/:projectId/locations/:location/datasets
      params:
      - name: projectId
        value: ''
        type: path
      - name: location
        value: ''
        type: path
    docs: Lists all datasets in the specified project and location.
  - info:
      name: Google Cloud AutoML Create a dataset
      type: http
    http:
      method: POST
      url: https://automl.googleapis.com/v1/projects/:projectId/locations/:location/datasets
      params:
      - name: projectId
        value: ''
        type: path
      - name: location
        value: ''
        type: path
      body:
        type: json
        data: '{}'
    docs: Creates a new dataset for model training.
  - info:
      name: Google Cloud AutoML List models
      type: http
    http:
      method: GET
      url: https://automl.googleapis.com/v1/projects/:projectId/locations/:location/models
      params:
      - name: projectId
        value: ''
        type: path
      - name: location
        value: ''
        type: path
    docs: Lists all models in the specified project and location.
  - info:
      name: Google Cloud AutoML Create a model
      type: http
    http:
      method: POST
      url: https://automl.googleapis.com/v1/projects/:projectId/locations/:location/models
      params:
      - name: projectId
        value: ''
        type: path
      - name: location
        value: ''
        type: path
      body:
        type: json
        data: '{}'
    docs: Creates and trains a new custom model.
  - info:
      name: Google Cloud AutoML Get a model
      type: http
    http:
      method: GET
      url: https://automl.googleapis.com/v1/projects/:projectId/locations/:location/models/:modelId
      params:
      - name: projectId
        value: ''
        type: path
      - name: location
        value: ''
        type: path
      - name: modelId
        value: ''
        type: path
    docs: Gets the details of a specific model.
  - info:
      name: Google Cloud AutoML Delete a model
      type: http
    http:
      method: DELETE
      url: https://automl.googleapis.com/v1/projects/:projectId/locations/:location/models/:modelId
      params:
      - name: projectId
        value: ''
        type: path
      - name: location
        value: ''
        type: path
      - name: modelId
        value: ''
        type: path
    docs: Deletes a model and all its associated resources.
  - info:
      name: Google Cloud AutoML Make a prediction
      type: http
    http:
      method: POST
      url: https://automl.googleapis.com/v1/projects/:projectId/locations/:location/models/:modelId:predict
      params:
      - name: projectId
        value: ''
        type: path
      - name: location
        value: ''
        type: path
      - name: modelId
        value: ''
        type: path
      body:
        type: json
        data: '{}'
    docs: Performs a prediction using a trained model.
bundled: true